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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">abcic</journal-id>
<journal-title-group>
<journal-title>ABC Imagem Cardiovascular</journal-title>
<abbrev-journal-title abbrev-type="publisher">ABC Imagem Cardiovasc.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2675-312X</issn>
<issn pub-type="ppub">2318-8219</issn>
<publisher>
<publisher-name>Departamento de Imagem Cardiovascular da Sociedade Brasileira de Cardiolodia (DIC/SBC)</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.36660/abcimg.20250053i</article-id>
<article-id pub-id-type="publisher-id">abcimg.20250053i</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Overview of Professional Practice in Computed Tomography and Cardiac Magnetic Resonance Imaging in Brazil</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">0000-0003-1418-9361</contrib-id>
<name><surname>Costa</surname><given-names>Isabela Bispo Santos da Silva</given-names></name>
<role>Conception and design of the research</role>
<role>Acquisition of data</role>
<role>Analysis and interpretation of the data</role>
<role>Statistical analysis</role>
<role>Writing of the manuscript</role>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c1"/>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">0000-0002-3418-3226</contrib-id>
<name><surname>Torreão</surname><given-names>Jorge Andion</given-names></name>
<role>Conception and design of the research</role>
<role>Acquisition of data</role>
<role>Writing of the manuscript</role>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">0000-0002-6726-5324</contrib-id>
<name><surname>Fernandes</surname><given-names>Juliano de Lara</given-names></name>
<role>Conception and design of the research</role>
<role>Acquisition of data</role>
<role>Writing of the manuscript</role>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">0000-0002-5772-0434</contrib-id>
<name><surname>Trad</surname><given-names>Henrique</given-names></name>
<role>Conception and design of the research</role>
<role>Acquisition of data</role>
<role>Writing of the manuscript</role>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">0000-0002-6268-8838</contrib-id>
<name><surname>Liberato</surname><given-names>Gabriela</given-names></name>
<role>Conception and design of the research</role>
<role>Acquisition of data</role>
<role>Writing of the manuscript</role>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">0000-0003-0337-9469</contrib-id>
<name><surname>Sasdelli</surname><given-names>Roberto</given-names><suffix>Neto</suffix></name>
<role>Conception and design of the research</role>
<role>Acquisition of data</role>
<role>Writing of the manuscript</role>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">0000-0002-0711-7995</contrib-id>
<name><surname>Barberato</surname><given-names>Silvio Henrique</given-names></name>
<role>Critical revision of the manuscript for intellectual content</role>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">0000-0002-0886-0844</contrib-id>
<name><surname>Pinto</surname><given-names>Ibraim Masciarelli</given-names></name>
<role>Conception and design of the research</role>
<role>Analysis and interpretation of the data</role>
<role>Critical revision of the manuscript for intellectual content</role>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">0000-0002-6728-3565</contrib-id>
<name><surname>Senra</surname><given-names>Tiago</given-names></name>
<role>Conception and design of the research</role>
<role>Acquisition of data</role>
<role>Statistical analysis</role>
<role>Analysis and interpretation of the data</role>
<role>Writing of the manuscript</role>
<role>Critical revision of the manuscript for intellectual content</role>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
</contrib>
<aff id="aff1">
<label>1</label>
<institution content-type="orgname">Universidade de São Paulo</institution>
<institution content-type="orgdiv1">Instituto do Câncer do Estado de São Paulo</institution>
<addr-line>
<named-content content-type="city">São Paulo</named-content>
<named-content content-type="state">SP</named-content>
</addr-line>
<country country="BR">Brazil</country>
<institution content-type="original">Universidade de São Paulo, Instituto do Câncer do Estado de São Paulo, São Paulo, SP – Brazil</institution>
</aff>
<aff id="aff2">
<label>2</label>
<institution content-type="orgname">Hospital Santa Izabel</institution>
<addr-line>
<named-content content-type="city">Salvador</named-content>
<named-content content-type="state">BA</named-content>
</addr-line>
<country country="BR">Brazil</country>
<institution content-type="original">Hospital Santa Izabel, Salvador, BA – Brazil</institution>
</aff>
<aff id="aff3">
<label>3</label>
<institution content-type="orgname">Instituto de Ensino e Pesquisa Jose Michel Kalaf</institution>
<addr-line>
<named-content content-type="city">Campinas</named-content>
<named-content content-type="state">SP</named-content>
</addr-line>
<country country="BR">Brazil</country>
<institution content-type="original">Instituto de Ensino e Pesquisa Jose Michel Kalaf, Campinas, SP – Brazil</institution>
</aff>
<aff id="aff4">
<label>4</label>
<institution content-type="orgname">Lotus Radiologia</institution>
<addr-line>
<named-content content-type="city">Ribeirão Preto</named-content>
<named-content content-type="state">SP</named-content>
</addr-line>
<country country="BR">Brazil</country>
<institution content-type="original">Lotus Radiologia, Ribeirão Preto, SP – Brazil</institution>
</aff>
<aff id="aff5">
<label>5</label>
<institution content-type="orgname">Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo</institution>
<institution content-type="orgdiv1">Instituto do Coração</institution>
<addr-line>
<named-content content-type="city">São Paulo</named-content>
<named-content content-type="state">SP</named-content>
</addr-line>
<country country="BR">Brazil</country>
<institution content-type="original">Instituto do Coração (Incor) do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo, SP – Brazil</institution>
</aff>
<aff id="aff6">
<label>6</label>
<institution content-type="orgname">Hospital Israelita Albert Einstein</institution>
<addr-line>
<named-content content-type="city">Paulo</named-content>
<named-content content-type="state">SP</named-content>
</addr-line>
<country country="BR">Brazil</country>
<institution content-type="original">Hospital Israelita Albert Einstein, Paulo, SP – Brazil</institution>
</aff>
<aff id="aff7">
<label>7</label>
<institution content-type="orgname">CardioEco Centro de Diagnostico Cardiovascular</institution>
<addr-line>
<named-content content-type="city">Curitiba</named-content>
<named-content content-type="state">PR</named-content>
</addr-line>
<country country="BR">Brazil</country>
<institution content-type="original">CardioEco Centro de Diagnostico Cardiovascular, Curitiba, PR – Brazil</institution>
</aff>
<aff id="aff8">
<label>8</label>
<institution content-type="orgname">Quanta Diagnóstico e Terapia</institution>
<addr-line>
<named-content content-type="city">Curitiba</named-content>
<named-content content-type="state">PR</named-content>
</addr-line>
<country country="BR">Brazil</country>
<institution content-type="original">Quanta Diagnóstico e Terapia – Ecocardiografia, Curitiba, PR – Brazil</institution>
</aff>
<aff id="aff9">
<label>9</label>
<institution content-type="orgname">Instituto Dante Pazzanese de Cardiologia</institution>
<addr-line>
<named-content content-type="city">São Paulo</named-content>
<named-content content-type="state">SP</named-content>
</addr-line>
<country country="BR">Brazil</country>
<institution content-type="original">Instituto Dante Pazzanese de Cardiologia, São Paulo, SP – Brazil</institution>
</aff>
</contrib-group>
<author-notes>
<corresp id="c1"><label>Mailing Address:</label> <bold>Isabela Bispo Santos da Silva Costa</bold> • Universidade de São Paulo Instituto do Câncer do Estado de São Paulo. Av. Dr. Arnaldo, 251. Postal Code: <postal-code>01246-000</postal-code>, São Paulo, SP – Brazil E-mail: <email>isabelabispo@yahoo.com.br</email></corresp>
<fn fn-type="coi-statement"><label>Potential conflict of interest</label>
<p>No potential conflict of interest relevant to this article was reported.</p></fn>
<fn fn-type="edited-by"><label>Editor responsible for the review:</label> <p>Marcelo Tavares</p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub">
<day>17</day>
<month>11</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>38</volume>
<issue>3</issue>
<elocation-id>e20250053</elocation-id>
<history>
<date date-type="received">
<day>04</day>
<month>08</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>21</day>
<month>08</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/" xml:lang="en">
<license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License</license-p>
</license>
</permissions>
<abstract>
<title>Abstract</title>
<sec>
<title>Background:</title>
<p>Non-invasive imaging for cardiovascular disease diagnosis has grown in volume and relevance in recent years, and it is important for early detection of cardiovascular diseases. There is a lack of data from Brazil on the availability of methods such as computed tomography (CT) and cardiac magnetic resonance imaging (CMR).</p>
</sec>
<sec>
<title>Objective:</title>
<p>This study assessed the regional distribution of professional practice and the exams performed, correlating these factors with population data and the number of active professionals.</p>
</sec>
<sec>
<title>Methods:</title>
<p>A nationwide survey was conducted by means of an online questionnaire applied to professionals who perform CT and CMR, compared with demographic data and the number of scans performed within Brazilian public and private healthcare systems.</p>
</sec>
<sec>
<title>Results:</title>
<p>A total of 219 professionals filled out the questionnaire, 139 (63.8%) male, 161 (73.9%) cardiologists, and 46 (21.1%) radiologists. Regarding regional distribution, the Southeast had 125 professionals (57.3%), the Northeast 35 (16.1%), the South 30 (13.8%), the Central-West 22 (10.1%), and the North 6 (2.8%). The profile of these professionals in Brazilian regions was similar, with no statistical differences observed regarding the proportion of men (p = 0.2451), cardiologists (p = 0.1325), radiologists (p = 0.4564), or training time &gt; 2 years (p = 0.8519). The Southeast had the highest absolute number of exams, and the North had the lowest.</p>
</sec>
<sec>
<title>Conclusion:</title>
<p>The data revealed structural disparities in access to cardiovascular imaging throughout Brazil, in terms of both number of professionals and number of exams performed. The regional discrepancies observed in this study reflect distinct demographic and economic circumstances in Brazilian regions.</p>
</sec>
</abstract>
<kwd-group xml:lang="en">
<title>Keywords:</title>
<kwd>X-Ray Computed Tomography</kwd>
<kwd>Magnetic Resonance Imaging</kwd>
<kwd>Cardiovascular Diseases</kwd>
<kwd>Unified Health System</kwd>
<kwd>Supplemental Health</kwd>
</kwd-group>
<funding-group>
<funding-statement>There were no external funding sources for this study</funding-statement>
</funding-group>
<counts>
<fig-count count="6"/>
<table-count count="8"/>
<equation-count count="0"/>
<ref-count count="14"/>
</counts>
</article-meta>
</front>
<body>
<fig id="f3">
<caption>
<title>Professional profile by Brazilian region.</title>
<p>CMR: cardiac magnetic resonance imaging; CT: computed tomography.</p></caption>
<graphic xlink:href="2675-312X-abcic-38-03-e20250053-gf03.tif"/>
</fig>
<sec sec-type="intro">
<title>Introduction</title>
<p>Cardiovascular diseases remain the leading cause of mortality worldwide.<sup><xref ref-type="bibr" rid="B1">1</xref>,<xref ref-type="bibr" rid="B2">2</xref></sup> A study conducted in the United States based on data from the National Center for Health Statistics (NCHS) showed a total of 10,951,403 cardiovascular deaths in adults over 35 years of age from 2010 to 2022.<sup><xref ref-type="bibr" rid="B3">3</xref></sup> Brazilian data are similar, with cardiovascular mortality accounting for approximately 30% of all deaths in the country.<sup><xref ref-type="bibr" rid="B4">4</xref></sup> Early and accurate diagnosis is a fundamental part of cardiovascular disease investigation, and it assists in decision-making regarding the most appropriate treatment, thus preventing cardiovascular complications such as infarction, stroke, revascularization, and cardiovascular mortality. Accordingly, advanced imaging methods such as computed tomography (CT) and cardiac magnetic resonance imaging (CMR) have gained prominence worldwide, with exponential growth in recent years.<sup><xref ref-type="bibr" rid="B5">5</xref></sup></p>
<p>Advances in devices, contrast media, organization of services, increased clinical applicability of exams, and greater availability have created an extremely favorable scenario for growth in this field. In Brazil, there is a lack of available data on these exams in the literature. Given Brazil&apos;s continental size and population and the heterogeneous nature of healthcare access within both the Brazilian Unified Health System (SUS, acronym in Portuguese) and private health insurance (PHI), it is important to understand distinct Brazilian realities. To this end, a survey of professionals involved in Brazilian cardiovascular imaging was designed.</p>
<p>We believe that this survey makes it possible to identify regions with a shortage of professionals, which will allow for targeted policies to encourage training and qualification, in addition to facilitating the planning of infrastructure investments, for example, installation of advanced equipment in areas with higher demand. Moreover, the survey can help identify gaps in the training profile of professionals, indicating the need to enhance academic curricula and training programs to further align them with current technological and clinical requirements, in accordance with the guidelines of the field, thus developing a comprehensive overview of the Brazilian situation.<sup><xref ref-type="bibr" rid="B6">6</xref></sup></p>
</sec>
<sec sec-type="methods">
<title>Methods</title>
<p>The objectives of this survey were to identify the profile of medical professionals working in cardiovascular imaging, in 2024, with a focus on CT and CMR; to assess their geographic distribution in Brazil; to assess the length of training in cardiovascular imaging; and to correlate the data obtained with the number of exams performed through the SUS and PHI in the same year.</p>
<p>This cross-sectional study was conducted by means of an online questionnaire applied to healthcare professionals who perform CT and CMR scans in Brazil. This survey is a partnership between the Department of Cardiovascular Imaging (DIC) of the Brazilian Society of Cardiology (SBC) and the Radiological and Diagnostic Imaging Society of São Paulo (SPR).</p>
<p>The questionnaire consists of the following four questions:</p>
<sec>
<title/>
<sec>
<title>What is/are your medical specialty/ies (multiple choice):</title>
<list list-type="order">
<list-item><p>Cardiologist</p></list-item>
<list-item><p>Radiologist</p></list-item>
<list-item><p>Pediatrician</p></list-item>
<list-item><p>Heart surgeon</p></list-item>
</list>
</sec>
<sec>
<title>Where do you practice?</title>
<list list-type="order">
<list-item><p>Southeast</p></list-item>
<list-item><p>Northeast</p></list-item>
<list-item><p>Central-West</p></list-item>
<list-item><p>North</p></list-item>
<list-item><p>South</p></list-item>
</list>
</sec>
<sec>
<title>How many years of training did you complete in CT/CMR?</title>
<list list-type="order">
<list-item><p>&lt; 1 year</p></list-item>
<list-item><p>1 year</p></list-item>
<list-item><p>2 years</p></list-item>
<list-item><p>&gt; 2 years</p></list-item>
</list>
</sec>
<sec>
<title>What methods do you work with (multiple choice)?</title>
<list list-type="order">
<list-item><p>Computed tomography</p></list-item>
<list-item><p>Magnetic resonance imaging</p></list-item>
<list-item><p>Echocardiography</p></list-item>
<list-item><p>Nuclear medicine</p></list-item>
</list>
<p>The questionnaire was posted on the websites of participating medical societies, in message boards, medical conferences, and webinars whose target audience was healthcare professionals who perform CT/CMR in Brazil. The questionnaire was available from October 2024 to January 2025 at: <ext-link ext-link-type="uri" xlink:href="https://docs.google.com/forms/d/e/1FAIpQLSchvk0lti_TbezPstpC9PK3Qz_KuU5zyd79MwYama2M6vbDng/viewform?usp=sf_link">https://docs.google.com/forms/d/e/1FAIpQLSchvk0lti_TbezPstpC9PK3Qz_KuU5zyd79MwYama2M6vbDng/viewform?usp=sf_link</ext-link>.</p>
<p>The total number of exams performed within the SUS in outpatient and inpatient settings by Brazilian region was obtained by consulting DATASUS (<ext-link ext-link-type="uri" xlink:href="https://datasus.saude.gov.br/home/tabnet">https://datasus.saude.gov.br/home/tabnet</ext-link>) in May 2025, searching for code 0207020019 (magnetic resonance imaging of the heart/aorta w/ cine). It was not possible to estimate the number of cardiac CT scans for calcium score assessment or coronary computed tomography angiography (CCTA) due to the lack of specific codes for these exams in the SUS.</p>
<p>The total number of exams performed through PHI in outpatient and inpatient settings by Brazilian region was obtained by consulting the website of the National Supplementary Health Agency (ANS), the regulatory body responsible for private health plans in Brazil. The website (<ext-link ext-link-type="uri" xlink:href="https://www.gov.br/ans/pt-br/acesso-a-informacao/perfil-do-setor/dados-e-indicadores-do-setor/d-tiss-painel-dos-dados-do-tiss">https://www.gov.br/ans/pt-br/acesso-a-informacao/perfil-do-setor/dados-e-indicadores-do-setor/d-tiss-painel-dos-dados-do-tiss</ext-link>) was accessed in May 2025 to search for the following codes:</p>
<list list-type="simple">
<list-item><label>–</label> <p>41101138 MRI – heart – morphological and functional</p></list-item>
<list-item><label>–</label> <p>41101146 MRI – heart – morphological and functional + perfusion + stress</p></list-item>
<list-item><label>–</label> <p>41101154 MRI – heart – morphological and functional + perfusion + myocardial viability</p></list-item>
<list-item><label>–</label> <p>41001087 CT – heart – for coronary calcium score assessment</p></list-item>
<list-item><label>–</label> <p>41001230 CT – coronary computed tomography angiography</p></list-item>
</list>
<p>Codes 41101138, 41101146, and 41101154 were grouped under the classification CMR.</p>
<p>This survey did not include out-of-network exams.</p>
<p>Brazilian demographic data were obtained from the last census, available at: <ext-link ext-link-type="uri" xlink:href="https://www.ibge.gov.br/estatisticas/todos-os-produtos-estatisticas.html">https://www.ibge.gov.br/estatisticas/todos-os-produtos-estatisticas.html</ext-link> (see Supplementary Material).</p>
<p>The information collected by the questionnaire was analyzed in conjunction with data on the number of exams performed in Brazil by region and demographic data.</p>
</sec>
</sec>
<sec>
<title>Statistical Analysis</title>
<p>Normally distributed continuous variables were presented as mean and standard deviation, and non-normally distributed continuous variables were presented as median and interquartile range. Categorical variables were presented as absolute and relative frequencies (percentages). Continuous variables were analyzed using Student&apos;s t test or Mann-Whitney U test, and categorical variables were analyzed using the chi-squared test or Fisher&apos;s exact test. P values &lt; 0.05 were considered significant, and SPSS (Statistical Package for the Social Sciences), version 18.0 (SPSS Inc., Chicago, IL, USA) was used to analyze the data.</p>
</sec>
</sec>
<sec sec-type="results">
<title>Results</title>
<p>A total of 219 professionals responded to the questionnaire, 139 (63.8%) male and 80 (36.7%) female. In relation to medical specialty, 161 (73.9%) were cardiologists, and 46 (21.1%) were radiologists. The distribution of these professionals was heterogeneous throughout Brazilian regions. There were 125 (57.3%) professionals in the Southeast, 35 (16.1%) in the Northeast, 30 (13.8%) in the South, 22 (10.1%) in the Central-West, and 6 (2.8%) in the North. The majority of professionals had completed 2 or more years of training in cardiovascular imaging (169 professionals, 77.5%), and they worked with CT (219 professionals; 100%) and CMR (210 professionals; 96.3%). A minority also worked with echocardiography (39 professionals; 17.9%) or nuclear medicine (12 professionals; 5.5%). <xref ref-type="table" rid="t1">Table 1</xref> summarizes the baseline data described.</p>
<table-wrap id="t1">
<label>Table 1</label>
<caption>
<title>Profile of professionals who perform computed tomography and cardiac magnetic resonance imaging in Brazil</title></caption>
<table frame="hsides" rules="groups">
<colgroup width="33%">
<col/>
<col/>
<col/>
</colgroup>
<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
<tr style="background-color:#C58874">
<th align="left" valign="middle">Variables</th>
<th align="center" valign="middle">n</th>
<th align="center" valign="middle">%</th>
</tr>
<tr style="background-color:#C58874">
<th align="left" valign="middle" colspan="3" style="border-top: thin solid; border-color: #000000">Sex</th>
</tr>
</thead>
<tbody style="border-bottom: thin solid; border-color: #000000">
<tr>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">139</td>
<td align="center" valign="middle">63.8</td>
</tr>
<tr style="background-color:#E8CCBF">
<td align="left" valign="middle">Female</td>
<td align="center" valign="middle">80</td>
<td align="center" valign="middle">36.7</td>
</tr>
<tr style="background-color:#C58874">
<td align="left" valign="middle" colspan="3" style="border-top: thin solid; border-color: #000000"><bold>Medical training</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Cardiologist</td>
<td align="center" valign="middle">161</td>
<td align="center" valign="middle">73.9</td>
</tr>
<tr style="background-color:#E8CCBF">
<td align="left" valign="middle">Radiologist</td>
<td align="center" valign="middle">46</td>
<td align="center" valign="middle">21.1</td>
</tr>
<tr>
<td align="left" valign="middle">Pediatric cardiologist</td>
<td align="center" valign="middle">8</td>
<td align="center" valign="middle">3.7</td>
</tr>
<tr style="background-color:#E8CCBF">
<td align="left" valign="middle">Heart surgeon</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">0.5</td>
</tr>
<tr>
<td align="left" valign="middle">Cardiologist/radiologist</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">0.9</td>
</tr>
<tr style="background-color:#C58874">
<td align="left" valign="middle" colspan="3" style="border-top: thin solid; border-color: #000000"><bold>Brazilian region</bold></td>
</tr>
<tr>
<td align="left" valign="middle">North</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">2.8</td>
</tr>
<tr style="background-color:#E8CCBF">
<td align="left" valign="middle">Northeast</td>
<td align="center" valign="middle">35</td>
<td align="center" valign="middle">16.1</td>
</tr>
<tr>
<td align="left" valign="middle">Central-West</td>
<td align="center" valign="middle">22</td>
<td align="center" valign="middle">10.1</td>
</tr>
<tr style="background-color:#E8CCBF">
<td align="left" valign="middle">Southeast</td>
<td align="center" valign="middle">125</td>
<td align="center" valign="middle">57.3</td>
</tr>
<tr>
<td align="left" valign="middle">South</td>
<td align="center" valign="middle">30</td>
<td align="center" valign="middle">13.8</td>
</tr>
<tr style="background-color:#C58874">
<td align="left" valign="middle" colspan="3" style="border-top: thin solid; border-color: #000000"><bold>Training time</bold></td>
</tr>
<tr>
<td align="left" valign="middle">&lt; 1 year</td>
<td align="center" valign="middle">12</td>
<td align="center" valign="middle">5.5</td>
</tr>
<tr style="background-color:#E8CCBF">
<td align="left" valign="middle">1 year</td>
<td align="center" valign="middle">37</td>
<td align="center" valign="middle">17.0</td>
</tr>
<tr>
<td align="left" valign="middle">2 years</td>
<td align="center" valign="middle">130</td>
<td align="center" valign="middle">59.6</td>
</tr>
<tr style="background-color:#E8CCBF">
<td align="left" valign="middle">&gt; 2 years</td>
<td align="center" valign="middle">39</td>
<td align="center" valign="middle">17.9</td>
</tr>
<tr style="background-color:#C58874">
<td align="left" valign="middle" colspan="3" style="border-top: thin solid; border-color: #000000"><bold>Imaging methods</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Computed tomography</td>
<td align="center" valign="middle">219</td>
<td align="center" valign="middle">100</td>
</tr>
<tr style="background-color:#E8CCBF">
<td align="left" valign="middle">Magnetic resonance imaging</td>
<td align="center" valign="middle">210</td>
<td align="center" valign="middle">96.3</td>
</tr>
<tr>
<td align="left" valign="middle">Nuclear medicine</td>
<td align="center" valign="middle">12</td>
<td align="center" valign="middle">5.5</td>
</tr>
<tr style="background-color:#E8CCBF">
<td align="left" valign="middle">Echocardiography</td>
<td align="center" valign="middle">39</td>
<td align="center" valign="middle">17.9</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Regarding sex, women and men were similar in their medical specialty of origin, but differed in the length of training in cardiac imaging (<xref ref-type="table" rid="t2">Table 2</xref>). The proportion of men who responded that they had 2 or more years of training was lower than that of women (100 [72.5%] versus 69 [86.3%], respectively; p = 0.029).</p>
<table-wrap id="t2">
<label>Table 2</label>
<caption>
<title>Professional profile according to sex</title></caption>
<table frame="hsides" rules="groups">
<colgroup width="25%">
<col/>
<col/>
<col/>
<col/>
</colgroup>
<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
<tr style="background-color:#C58874">
<th align="left" valign="middle">Category</th>
<th align="center" valign="middle">Women (n, %)</th>
<th align="center" valign="middle">Men (n, %)</th>
<th align="center" valign="middle">P value</th>
</tr>
</thead>
<tbody style="border-bottom: thin solid; border-color: #000000">
<tr>
<td align="left" valign="middle">Cardiologist</td>
<td align="center" valign="middle">58 (72.5%)</td>
<td align="center" valign="middle">104 (75.4%)</td>
<td align="center" valign="middle">0.7601</td>
</tr>
<tr style="background-color:#E8CCBF">
<td align="left" valign="middle">Radiologist</td>
<td align="center" valign="middle">14 (17.5%)</td>
<td align="center" valign="middle">32 (23.2%)</td>
<td align="center" valign="middle">0.4123</td>
</tr>
<tr>
<td align="left" valign="middle">Training ≥ 2 years</td>
<td align="center" valign="middle">69 (86.3%)</td>
<td align="center" valign="middle">100 (72.5%)</td>
<td align="center" valign="middle">0.0291</td>
</tr>
<tr style="background-color:#E8CCBF">
<td align="left" valign="middle">CMR/CT/CMR+CT</td>
<td align="center" valign="middle">63 (78.8%)</td>
<td align="center" valign="middle">110 (79.7%)</td>
<td align="center" valign="middle">1.0</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TFN1">
<p>CMR: cardiac magnetic resonance imaging; CT: computed tomography.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Proportional analysis of the number of professionals in relation to the percentage distribution of the Brazilian population showed that, in the North and Northeast regions, the proportion of professionals was lower than the percentage distribution of the Brazilian population, suggesting a shortage of professionals in those regions. In the Southeast region, the concentration of professionals was higher than the distribution of the Brazilian population (<xref ref-type="fig" rid="f1">Figure 1</xref>). The profile of these professionals in the different regions of the country was similar, with no statistical differences observed regarding the proportion of men (p = 0.2451), cardiologists (p = 0.1325), radiologists (p = 0.4564), training time greater than or equal to 2 years (p = 0.8519), and additional imaging methods (p = 0.4361) (Central Figure).</p>
<fig id="f1">
<label>Figure 1</label>
<caption>
<title>Proportion of cardiovascular imaging professionals in Brazil and percentage distribution of the Brazilian population.</title></caption>
<graphic xlink:href="2675-312X-abcic-38-03-e20250053-gf01.tif"/>
</fig>
<p>In relation to the volume of exams in Brazil in 2024, 14,966 CMR scans were performed within the SUS. Within private healthcare, there were 44,382 CMR scans, 130,189 CCTA exams, and 2,629 calcium score assessments. <xref ref-type="table" rid="t3">Table 3</xref> displays the distribution of exams by region. Analysis of the distribution of cardiovascular imaging exams in Brazil revealed significant disparities between regions and between the public and private healthcare systems. Considering the CMR exams performed within the SUS, a pronounced concentration was observed in the Southeast region, with 9,404 exams, followed by the Northeast (2,855), South (1,759), Central-West (849), and North (99).</p>
<table-wrap id="t3">
<label>Table 3</label>
<caption>
<title>Number of cardiac magnetic resonance and computed tomography scans by region and healthcare system</title></caption>
<table frame="hsides" rules="groups">
<colgroup width="17%">
<col/>
<col/>
<col/>
<col/>
<col/>
<col/>
</colgroup>
<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
<tr style="background-color:#C58874">
<th align="left" valign="middle">Exams</th>
<th align="center" valign="middle" colspan="5">Number by Brazilian region</th>
</tr>
<tr style="background-color:#C58874">
<th align="left" valign="middle" style="border-top: thin solid; border-color: #000000">SUS</th>
<th align="center" valign="middle" style="border-top: thin solid; border-color: #000000">North</th>
<th align="center" valign="middle" style="border-top: thin solid; border-color: #000000">Northeast</th>
<th align="center" valign="middle" style="border-top: thin solid; border-color: #000000">Central-West</th>
<th align="center" valign="middle" style="border-top: thin solid; border-color: #000000">Southeast</th>
<th align="center" valign="middle" style="border-top: thin solid; border-color: #000000">South</th>
</tr>
</thead>
<tbody style="border-bottom: thin solid; border-color: #000000">
<tr>
<td align="left" valign="middle">CMR</td>
<td align="center" valign="middle">99</td>
<td align="center" valign="middle">2,855</td>
<td align="center" valign="middle">849</td>
<td align="center" valign="middle">9,404</td>
<td align="center" valign="middle">1,759</td>
</tr>
<tr style="background-color:#C58874">
<td align="left" valign="middle" style="border-top: thin solid; border-color: #000000"><bold>PHI</bold></td>
<td align="center" valign="middle" style="border-top: thin solid; border-color: #000000"><bold>North</bold></td>
<td align="center" valign="middle" style="border-top: thin solid; border-color: #000000"><bold>Northeast</bold></td>
<td align="center" valign="middle" style="border-top: thin solid; border-color: #000000"><bold>Central-West</bold></td>
<td align="center" valign="middle" style="border-top: thin solid; border-color: #000000"><bold>Southeast</bold></td>
<td align="center" valign="middle" style="border-top: thin solid; border-color: #000000"><bold>South</bold></td>
</tr>
<tr>
<td align="left" valign="middle">CMR</td>
<td align="center" valign="middle">1,130</td>
<td align="center" valign="middle">3,487</td>
<td align="center" valign="middle">3,318</td>
<td align="center" valign="middle">22,492</td>
<td align="center" valign="middle">13,955</td>
</tr>
<tr style="background-color:#E8CCBF">
<td align="left" valign="middle">CCTA</td>
<td align="center" valign="middle">3,209</td>
<td align="center" valign="middle">10,902</td>
<td align="center" valign="middle">14,622</td>
<td align="center" valign="middle">66,304</td>
<td align="center" valign="middle">35,152</td>
</tr>
<tr>
<td align="left" valign="middle">Calcium score</td>
<td align="center" valign="middle">12</td>
<td align="center" valign="middle">363</td>
<td align="center" valign="middle">118</td>
<td align="center" valign="middle">1,041</td>
<td align="center" valign="middle">1,095</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TFN2">
<p>CCTA: coronary computed tomography angiography; CMR: cardiac magnetic resonance imaging; PHI: private health insurance; SUS: Brazilian Unified Health System.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>In data on PHI, regional inequality persists, but with considerably higher absolute numbers in all regions. The Southeast region stood out again with 22,492 CMR scans, representing greater availability through PHI. The South (13,955) and Central-West (3,318) also had significant volumes, in contrast to the North (1,130) and Northeast (3,487), which continued to have lower access, although higher than that observed within the SUS.</p>
<p>CCTA exams were also largely concentrated in the Southeast (66,304) and South (35,152) regions, with much lower numbers in the North (3,209), Northeast (10,902), and Central-West (14,622). Calcium score assessments followed a similar pattern, with emphasis on the South (1,095) and Southeast (1,041), demonstrating the greater presence of these cardiovascular risk stratification tools in areas with a higher density of specialized services.</p>
<p>The Southeast region, with 36% of the population using the SUS and 59.7% using PHI, disproportionately accounted for 62.8% of CMR scans performed within the SUS and 50.7% of CCTA and CMR scans within PHI, as well as 57.3% of professionals specializing in cardiovascular imaging. Conversely, the North region, with 10.4% of the population using the SUS and 3.7% using PHI, accounted for only 0.7% of CMR scans performed within the SUS, 2.4% of CCTA exams within PHI, and 2.8% of professionals in this field, representing a scenario of significant healthcare shortages. Meanwhile, the South, with approximately 14% of the population in each system, accounted for 27.3% of CT scans and 31.4% of CMR scans within PHI, although it concentrated only 13.8% of specialized professionals. This suggests a high density of exams per professional in this region. These data are detailed in <xref ref-type="fig" rid="f2">Figure 2</xref>.</p>
<fig id="f2">
<label>Figure 2</label>
<caption>
<title>Percentage distribution of the number of exams, population served by the Unified Health System and private health insurance, and proportion of cardiovascular imaging professionals in Brazil.</title>
<p>% CMR PHI: percentage of cardiac magnetic resonance imaging scans performed through private health insurance; % CMR SUS: percentage of cardiac magnetic resonance imaging scans performed within the Unified Health System; % CT PHI: percentage of cardiac computed tomography scans performed through private health insurance; % CVI prof: percentage of cardiovascular imaging professionals in the region; % pop PHI: percentage of the population served by private health insurance; % pop SUS: percentage of the population served by the Unified Health System.</p></caption>
<graphic xlink:href="2675-312X-abcic-38-03-e20250053-gf02.tif"/>
</fig>
<p><xref ref-type="table" rid="t4">Table 4</xref> shows the relationship between the total number of cardiovascular imaging exams performed and regional structural variables, such as population, gross domestic product (GDP), and number of active professionals. The South region, with 31.1 million inhabitants and a GDP of 1.56 trillion Brazilian reals (BRL), had the highest rate of exams per 100,000 inhabitants (167,007) and the highest productivity relative to GDP (33,312 exams per billion BRL), despite a moderate number of professionals (n = 30). The Southeast region, with a larger population (88.6 million), higher GDP (4.71 trillion BRL), and absolute number of professionals (n = 125), had the second-highest rate of exams per 100,000 inhabitants (111,988) and high efficiency relative to GDP (21,056.94 exams/billion BRL). In contrast, the North region, with only 6 professionals and the lowest GDP, performed the lowest absolute and proportional number of exams (22,275/100,000 inhabitants; 7,889.17 exams/billion BRL), demonstrating significant underutilization of diagnostic resources. The Northeast and Central-West regions had intermediate results, with increasing rates of exams per inhabitant and per billion BRL of GDP, consistent with their respective professional density. These findings should certainly be analyzed with caution, but they demonstrate the influence of economic infrastructure on regional access to cardiovascular imaging methods in Brazil. Regional economic capacity and population size appear to influence the availability and use of exams; these data may indirectly reflect the population&apos;s access to PHI, not just the availability of professionals in a given region.</p>
<table-wrap id="t4">
<label>Table 4</label>
<caption>
<title>Relationship between number of exams performed according to local population, gross domestic product, and number of professionals per Brazilian region</title></caption>
<table frame="hsides" rules="groups">
<colgroup width="14%">
<col/>
<col/>
<col/>
<col/>
<col/>
<col/>
<col/>
</colgroup>
<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
<tr style="background-color:#C58874">
<th align="left" valign="middle"/>
<th align="center" valign="middle">Population</th>
<th align="center" valign="middle">GDP (bi)</th>
<th align="center" valign="middle">Professionals</th>
<th align="center" valign="middle">Total exams</th>
<th align="center" valign="middle">Exams/100,000 inhabitants</th>
<th align="center" valign="middle">Exams/bi PIB</th>
</tr>
</thead>
<tbody style="border-bottom: thin solid; border-color: #000000">
<tr>
<td align="left" valign="middle">North</td>
<td align="center" valign="middle">19,977,877</td>
<td align="center" valign="middle">0.564064</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">4,450</td>
<td align="center" valign="middle">22.275</td>
<td align="center" valign="middle">7,889.17</td>
</tr>
<tr style="background-color:#E8CCBF">
<td align="left" valign="middle">Northeast</td>
<td align="center" valign="middle">57,112,096</td>
<td align="center" valign="middle">1.243104</td>
<td align="center" valign="middle">35</td>
<td align="center" valign="middle">17,607</td>
<td align="center" valign="middle">30.829</td>
<td align="center" valign="middle">14,163.74</td>
</tr>
<tr>
<td align="left" valign="middle">Central-West</td>
<td align="center" valign="middle">16,289,538</td>
<td align="center" valign="middle">0.932166</td>
<td align="center" valign="middle">22</td>
<td align="center" valign="middle">18,907</td>
<td align="center" valign="middle">60.769</td>
<td align="center" valign="middle">20,282.86</td>
</tr>
<tr style="background-color:#E8CCBF">
<td align="left" valign="middle">Southeast</td>
<td align="center" valign="middle">88,617,693</td>
<td align="center" valign="middle">4.712982</td>
<td align="center" valign="middle">125</td>
<td align="center" valign="middle">99,241</td>
<td align="center" valign="middle">111.988</td>
<td align="center" valign="middle">21,056.94</td>
</tr>
<tr>
<td align="left" valign="middle">South</td>
<td align="center" valign="middle">31,113,021</td>
<td align="center" valign="middle">1.559828</td>
<td align="center" valign="middle">30</td>
<td align="center" valign="middle">51,961</td>
<td align="center" valign="middle">167.007</td>
<td align="center" valign="middle">33,312.00</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TFN3">
<p>bi: billion Brazilian reals; GDP: gross domestic product.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>The growth of non-invasive diagnostic methods in cardiology assessment has become a global reality.<sup><xref ref-type="bibr" rid="B5">5</xref></sup> This increase has resulted from the growing body of scientific evidence published in the literature, reinforcing the importance of these methods in cardiovascular disease diagnosis.<sup><xref ref-type="bibr" rid="B7">7</xref></sup> The main national and international guidelines on the subject highlight the role of CCTA, calcium score, and CMR in the diagnosis of cardiovascular disease and cardiovascular involvement in systemic diseases.<sup><xref ref-type="bibr" rid="B6">6</xref>,<xref ref-type="bibr" rid="B8">8</xref>–<xref ref-type="bibr" rid="B10">10</xref></sup></p>
<p>The incorporation of CCTA as the initial approach for investigating patients with coronary artery disease in the United Kingdom has yielded noticeable results more than half a decade after implementation. The National Institute for Health and Care Excellence (NICE), the body responsible for quality, evidence-based decision-making in the National Health Service (NHS), recommended the use of CCTA as the preferred diagnostic test for evaluating chest pain.<sup><xref ref-type="bibr" rid="B11">11</xref></sup> The study revealed that, in regions that fully adopted the recommendation, there was a significant reduction in the number of myocardial scintigraphy tests. The change in investigation strategy was also associated with a slight reduction in invasive coronary angiography and a reduction in cardiovascular mortality. Moreover, a decreasing trend in all-cause mortality was identified, reinforcing the effectiveness of the proposed model. These data confirm the central role of CCTA, not only in improving clinical outcomes, but also its potential to optimize resources within the United Kingdom&apos;s public health system.<sup><xref ref-type="bibr" rid="B11">11</xref></sup></p>
<p>In Brazil, circumstances are different, as this test is not widely available with the Brazilian SUS. Even when available, we are not able to quantify its use due to the lack of coding. In the context of PHI, prior evaluation is frequently requested due to positive ischemia tests, in addition to criteria that often limit its use, which should be reviewed. The data presented reveal important inequality in the provision and use of advanced cardiovascular imaging tests in Brazil, both between the different regions of the country and between the SUS and PHI. The concentration of tests in the Southeast and South regions, especially in the private sector, contrasts with the low provision observed in the North, Northeast, and Central-West regions, highlighting structural and healthcare limitations in these areas.</p>
<p>These regional inequalities in access to cardiovascular imaging exams indicate structural limitations and historical asymmetries in the distribution of resources within the Brazilian healthcare system. Although most exams are concentrated in the most economically developed regions, the high relative productivity observed in the South suggests a possible optimization of the existing infrastructure, or even a more consolidated private market, with greater access to PHI. On the other hand, the limited performance observed in the North region, even when adjusted for GDP and number of inhabitants, highlights additional barriers, such as a lack of equipment, low PHI coverage, and shortage of trained professionals. The discrepancy between regions reinforces the need for specific public policies that promote development of professional training in interior regions, investment in diagnostic infrastructure in the SUS, and more equitable regulation of access to imaging methods, in order to ensure minimum fair coverage in all Brazilian regions.</p>
<p>The findings of this analysis dialogue with those presented by Monti et al.,<sup><xref ref-type="bibr" rid="B12">12</xref></sup> in a survey conducted by the CMR working group of the Italian Society of Cardiology. The study identified structural and operational barriers similar to those observed in Brazil, including limited access to CMR, regional disparities, and underutilization of the technique, even in centers with installed capacity. Furthermore, the study highlighted the shortage of professionals with specific training as one of the main obstacles to expanding the clinical use of CMR. These challenges, shared across different health systems, reinforce the importance of coordinated strategies to expand specialist training, optimize the use of available resources, and integrate CMR into care guidelines more broadly and equitably.</p>
<p>Data from Germany&apos;s national certification program and the European Society of Cardiovascular Radiology (ESCR) registry revealed pronounced heterogeneity in the provision and use of cardiovascular imaging, among both institutions and medical specialties. The study underscored the need for standardization in training, certification, and quality control processes, indicating that, even in a country with broad technological availability, the lack of uniformity in professional qualifications and the incorporation of imaging into clinical workflows limits systematic use.<sup><xref ref-type="bibr" rid="B13">13</xref></sup> Similarly, a recent analysis on the use of CCTA in different regions of the United States and the United Kingdom revealed significant inequalities in access and adoption of the exam, associated with the availability of equipment, the presence of trained specialists, and variations in regional clinical guidelines.<sup><xref ref-type="bibr" rid="B14">14</xref></sup> These findings reinforce that, even in advanced healthcare systems, the consolidation of cardiovascular imaging as a routine diagnostic tool requires structured policies for training, professional accreditation, and technical governance. These challenges are particularly critical in Brazil, where they are characterized by even more pronounced regional inequalities.</p>
<p>Based on the findings presented, it is possible to propose strategies to mitigate regional inequalities in access to cardiovascular imaging in Brazil. The creation of regional training and qualification centers dedicated to CCTA and CMR, especially in the North, Northeast, and Central-West regions, can promote the development of expertise in interior regions and contribute to the retention of professionals. Accordingly, retention scholarships linked to medical residency, master&apos;s, or doctoral programs, funded by Brazilian agencies such as the Coordination for the Improvement of Higher Education Personnel (CAPES) and the National Council for Scientific and Technological Development (CNPq), should be offered based on epidemiological and structural data obtained by means of national censuses in the field. Additionally, public-private partnerships for the acquisition and maintenance of advanced imaging equipment can be strategic for regions with low technological coverage, provided that they are accompanied by clear regulatory protocols that guarantee priority use by the SUS. These integrated measures can contribute to greater equity in the provision of exams, expanding the clinical and social impact of cardiovascular imaging in Brazil.</p>
<p>Our data have important limitations. We believe that the number of imaging professionals in this survey is an underestimate, especially regarding the participation of radiologists. International data have shown that radiologist participation is higher.<sup><xref ref-type="bibr" rid="B5">5</xref></sup> These limitations were due to the voluntary participation of the professionals involved, as well as the fact that the majority of radiologists represented are affiliated with the SPR, which operates in São Paulo. Lack of coding in the SUS prevented us from accessing the number of CCTA scans and calcium scores. The lack of data on out-of-network exams performed in Brazil was a limitation, whose impact was likely not significant on this survey, given their low proportion in the Brazilian context.</p>
<p>In conclusion, our results demonstrated pronounced inequality in the provision and use of cardiovascular imaging in Brazil, with a greater concentration of resources and procedures in the Southeast and South regions, and marked shortages in other regions. This asymmetry is not limited to technological and economic infrastructure; it also reflects a shortage of qualified professionals in the field, especially in more vulnerable regions. Given this scenario, there is an evident need for strategies focused on training, ongoing development, and retention of cardiovascular imaging specialists, as an essential component to expanding access and ensuring more equitable care. Investment in human capital development is an indispensable step toward consolidating cardiovascular imaging as a routine diagnostic tool and improving the quality of care nationwide.</p>
</sec>
</body>
<back>
<fn-group>
<fn fn-type="financial-disclosure" id="fn1"><label>Sources of funding</label>
<p>There were no external funding sources for this study.</p></fn>
<fn fn-type="other" id="fn2"><label>Study association</label>
<p>This study is not associated with any thesis or dissertation work.</p></fn>
<fn fn-type="other" id="fn3"><label>Ethics approval and consent to participate</label>
<p>This study was approved by the Ethics Committee of the Instituto Dante Pazzanese under the protocol number CAAE 85943025.6.0000.5462. All the procedures in this study were in accordance with the 1975 Helsinki Declaration, updated in 2013. Informed consent was obtained from all participants included in the study.</p></fn>
<fn fn-type="other" id="fn4"><label>Use of Artificial Intelligence</label>
<p>The authors did not use any artificial intelligence tools in the development of this work.</p></fn>
</fn-group>
<sec sec-type="data-availability" specific-use="data-in-article">
<label>Data Availability</label>
<p>The underlying content of the research text is contained within the manuscript.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors would like to thank all the professionals who responded to the questionnaire and the DIC and SPR teams who supported the initiative</p>
</ack>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Ahmad</surname><given-names>FB</given-names></name>
<name><surname>Anderson</surname><given-names>RN</given-names></name>
</person-group>
<article-title>The Leading Causes of Death in the US for 2020</article-title>
<source>JAMA</source>
<year>2021</year>
<volume>325</volume>
<issue>18</issue>
<fpage>1829</fpage>
<lpage>1830</lpage>
<pub-id pub-id-type="doi">10.1001/jama.2021.5469</pub-id>
</element-citation>
<mixed-citation>Ahmad FB, Anderson RN. The Leading Causes of Death in the US for 2020. JAMA. 2021;325(18):1829-30. doi: 10.1001/jama.2021.5469.</mixed-citation>
</ref>
<ref id="B2">
<label>2</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Rache</surname><given-names>B</given-names></name>
<name><surname>Rocha</surname><given-names>R</given-names></name>
<name><surname>Medeiros</surname><given-names>LA</given-names></name>
<name><surname>Okada</surname><given-names>LM</given-names></name>
<name><surname>Ferrari</surname><given-names>G</given-names></name>
<name><surname>Zeng</surname><given-names>H</given-names></name>
<etal/>
</person-group>
<article-title>Transition Towards Cancer Mortality Predominance Over Cardiovascular Disease Mortality in Brazil, 2000-2019: A Population-Based Study</article-title>
<source>Lancet Reg Health Am</source>
<year>2024</year>
<volume>39</volume>
<fpage>100904</fpage>
<lpage>100904</lpage>
<pub-id pub-id-type="doi">10.1016/j.lana.2024.100904</pub-id>
</element-citation>
<mixed-citation>Rache B, Rocha R, Medeiros LA, Okada LM, Ferrari G, Zeng H, et al. Transition Towards Cancer Mortality Predominance Over Cardiovascular Disease Mortality in Brazil, 2000-2019: A Population-Based Study. Lancet Reg Health Am. 2024;39:100904. doi: 10.1016/j.lana.2024.100904.</mixed-citation>
</ref>
<ref id="B3">
<label>3</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Woodruff</surname><given-names>RC</given-names></name>
<name><surname>Tong</surname><given-names>X</given-names></name>
<name><surname>Khan</surname><given-names>SS</given-names></name>
<name><surname>Shah</surname><given-names>NS</given-names></name>
<name><surname>Jackson</surname><given-names>SL</given-names></name>
<name><surname>Loustalot</surname><given-names>F</given-names></name>
<etal/>
</person-group>
<article-title>Trends in Cardiovascular Disease Mortality Rates and Excess Deaths, 2010-2022</article-title>
<source>Am J Prev Med</source>
<year>2024</year>
<volume>66</volume>
<issue>4</issue>
<fpage>582</fpage>
<lpage>589</lpage>
<pub-id pub-id-type="doi">10.1016/j.amepre.2023.11.009</pub-id>
</element-citation>
<mixed-citation>Woodruff RC, Tong X, Khan SS, Shah NS, Jackson SL, Loustalot F, et al. Trends in Cardiovascular Disease Mortality Rates and Excess Deaths, 2010-2022. Am J Prev Med. 2024;66(4):582-9. doi: 10.1016/j.amepre.2023.11.009.</mixed-citation>
</ref>
<ref id="B4">
<label>4</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Oliveira</surname><given-names>GMM</given-names></name>
<name><surname>Brant</surname><given-names>LCC</given-names></name>
<name><surname>Polanczyk</surname><given-names>CA</given-names></name>
<name><surname>Malta</surname><given-names>DC</given-names></name>
<name><surname>Biolo</surname><given-names>A</given-names></name>
<name><surname>Nascimento</surname><given-names>BR</given-names></name>
<etal/>
</person-group>
<article-title>Cardiovascular Statistics - Brazil 2023</article-title>
<source>Arq Bras Cardiol</source>
<year>2024</year>
<volume>121</volume>
<issue>2</issue>
<elocation-id>e20240079</elocation-id>
<pub-id pub-id-type="doi">10.36660/abc.20240079</pub-id>
</element-citation>
<mixed-citation>Oliveira GMM, Brant LCC, Polanczyk CA, Malta DC, Biolo A, Nascimento BR, et al. Cardiovascular Statistics - Brazil 2023. Arq Bras Cardiol. 2024;121(2):e20240079. doi: 10.36660/abc.20240079.</mixed-citation>
</ref>
<ref id="B5">
<label>5</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Catapano</surname><given-names>F</given-names></name>
<name><surname>Moser</surname><given-names>LJ</given-names></name>
<name><surname>Francone</surname><given-names>M</given-names></name>
<name><surname>Catalano</surname><given-names>C</given-names></name>
<name><surname>Vliegenthart</surname><given-names>R</given-names></name>
<name><surname>Budde</surname><given-names>RPJ</given-names></name>
<etal/>
</person-group>
<article-title>Competence of Radiologists in Cardiac CT and MR Imaging in Europe: Insights from the ESCR Registry</article-title>
<source>Eur Radiol</source>
<year>2024</year>
<volume>34</volume>
<issue>9</issue>
<fpage>5666</fpage>
<lpage>5677</lpage>
<pub-id pub-id-type="doi">10.1007/s00330-024-10644-4</pub-id>
</element-citation>
<mixed-citation>Catapano F, Moser LJ, Francone M, Catalano C, Vliegenthart R, Budde RPJ, et al. Competence of Radiologists in Cardiac CT and MR Imaging in Europe: Insights from the ESCR Registry. Eur Radiol. 2024;34(9):5666-77. doi: 10.1007/s00330-024-10644-4.</mixed-citation>
</ref>
<ref id="B6">
<label>6</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Magalhães</surname><given-names>TA</given-names></name>
<name><surname>Carneiro</surname><given-names>ACC</given-names></name>
<name><surname>Moreira</surname><given-names>VM</given-names></name>
<name><surname>Trad</surname><given-names>HS</given-names></name>
<name><surname>Lopes</surname><given-names>MMU</given-names></name>
<name><surname>Cerci</surname><given-names>RJ</given-names></name>
<etal/>
</person-group>
<article-title>Cardiovascular Computed Tomography and Magnetic Resonance Imaging Guideline of the Brazilian Society of Cardiology and the Brazilian College of Radiology - 2024</article-title>
<source>Arq Bras Cardiol</source>
<year>2024</year>
<volume>121</volume>
<issue>9</issue>
<elocation-id>e20240608</elocation-id>
<pub-id pub-id-type="doi">10.36660/abc.20240608</pub-id>
</element-citation>
<mixed-citation>Magalhães TA, Carneiro ACC, Moreira VM, Trad HS, Lopes MMU, Cerci RJ, et al. Cardiovascular Computed Tomography and Magnetic Resonance Imaging Guideline of the Brazilian Society of Cardiology and the Brazilian College of Radiology - 2024. Arq Bras Cardiol. 2024;121(9):e20240608. doi: 10.36660/abc.20240608.</mixed-citation>
</ref>
<ref id="B7">
<label>7</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Dewey</surname><given-names>M</given-names></name>
</person-group>
<article-title>Competence and Contributions of Radiologists to Cardiac CT and MR Imaging Across Europe</article-title>
<source>Eur Radiol</source>
<year>2024</year>
<volume>34</volume>
<issue>10</issue>
<fpage>6578</fpage>
<lpage>6580</lpage>
<pub-id pub-id-type="doi">10.1007/s00330-024-10741-4</pub-id>
</element-citation>
<mixed-citation>Dewey M. Competence and Contributions of Radiologists to Cardiac CT and MR Imaging Across Europe. Eur Radiol. 2024;34(10):6578-80. doi: 10.1007/s00330-024-10741-4.</mixed-citation>
</ref>
<ref id="B8">
<label>8</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Nieman</surname><given-names>K</given-names></name>
<name><surname>García-García</surname><given-names>HM</given-names></name>
<name><surname>Hideo-Kajita</surname><given-names>A</given-names></name>
<name><surname>Collet</surname><given-names>C</given-names></name>
<name><surname>Dey</surname><given-names>D</given-names></name>
<name><surname>Pugliese</surname><given-names>F</given-names></name>
<etal/>
</person-group>
<article-title>Standards for Quantitative Assessments by Coronary Computed Tomography Angiography (CCTA): An Expert Consensus Document of the Society of Cardiovascular Computed Tomography (SCCT)</article-title>
<source>J Cardiovasc Comput Tomogr</source>
<year>2024</year>
<volume>18</volume>
<issue>5</issue>
<fpage>429</fpage>
<lpage>443</lpage>
<pub-id pub-id-type="doi">10.1016/j.jcct.2024.05.232</pub-id>
</element-citation>
<mixed-citation>Nieman K, García-García HM, Hideo-Kajita A, Collet C, Dey D, Pugliese F, et al. Standards for Quantitative Assessments by Coronary Computed Tomography Angiography (CCTA): An Expert Consensus Document of the Society of Cardiovascular Computed Tomography (SCCT). J Cardiovasc Comput Tomogr. 2024;18(5):429-43. doi: 10.1016/j.jcct.2024.05.232.</mixed-citation>
</ref>
<ref id="B9">
<label>9</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Ommen</surname><given-names>SR</given-names></name>
<name><surname>Ho</surname><given-names>CY</given-names></name>
<name><surname>Asif</surname><given-names>IM</given-names></name>
<name><surname>Balaji</surname><given-names>S</given-names></name>
<name><surname>Burke</surname><given-names>MA</given-names></name>
<name><surname>Day</surname><given-names>SM</given-names></name>
<etal/>
</person-group>
<article-title>2024 AHA/ACC/AMSSM/HRS/PACES/SCMR Guideline for the Management of Hypertrophic Cardiomyopathy: A Report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines</article-title>
<source>Circulation</source>
<year>2024</year>
<volume>149</volume>
<issue>23</issue>
<fpage>e1239</fpage>
<lpage>e1311</lpage>
<pub-id pub-id-type="doi">10.1161/CIR.0000000000001250</pub-id>
</element-citation>
<mixed-citation>Ommen SR, Ho CY, Asif IM, Balaji S, Burke MA, Day SM, et al. 2024 AHA/ACC/AMSSM/HRS/PACES/SCMR Guideline for the Management of Hypertrophic Cardiomyopathy: A Report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines. Circulation. 2024;149(23):e1239-311. doi: 10.1161/CIR.0000000000001250.</mixed-citation>
</ref>
<ref id="B10">
<label>10</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Leiner</surname><given-names>T</given-names></name>
<name><surname>Bogaert</surname><given-names>J</given-names></name>
<name><surname>Friedrich</surname><given-names>MG</given-names></name>
<name><surname>Mohiaddin</surname><given-names>R</given-names></name>
<name><surname>Muthurangu</surname><given-names>V</given-names></name>
<name><surname>Myerson</surname><given-names>S</given-names></name>
<etal/>
</person-group>
<article-title>SCMR Position Paper (2020) on Clinical Indications for Cardiovascular Magnetic Resonance</article-title>
<source>J Cardiovasc Magn Reson</source>
<year>2020</year>
<volume>22</volume>
<issue>1</issue>
<fpage>76</fpage>
<lpage>76</lpage>
<pub-id pub-id-type="doi">10.1186/s12968-020-00682-4</pub-id>
</element-citation>
<mixed-citation>Leiner T, Bogaert J, Friedrich MG, Mohiaddin R, Muthurangu V, Myerson S, et al. SCMR Position Paper (2020) on Clinical Indications for Cardiovascular Magnetic Resonance. J Cardiovasc Magn Reson. 2020;22(1):76. doi: 10.1186/s12968-020-00682-4.</mixed-citation>
</ref>
<ref id="B11">
<label>11</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Moss</surname><given-names>AJ</given-names></name>
<name><surname>Williams</surname><given-names>MC</given-names></name>
<name><surname>Newby</surname><given-names>DE</given-names></name>
<name><surname>Nicol</surname><given-names>ED</given-names></name>
</person-group>
<article-title>The Updated NICE Guidelines: Cardiac CT as the First-Line Test for Coronary Artery Disease</article-title>
<source>Curr Cardiovasc Imaging Rep</source>
<year>2017</year>
<volume>10</volume>
<issue>5</issue>
<fpage>15</fpage>
<lpage>15</lpage>
<pub-id pub-id-type="doi">10.1007/s12410-017-9412-6</pub-id>
</element-citation>
<mixed-citation>Moss AJ, Williams MC, Newby DE, Nicol ED. The Updated NICE Guidelines: Cardiac CT as the First-Line Test for Coronary Artery Disease. Curr Cardiovasc Imaging Rep. 2017;10(5):15. doi: 10.1007/s12410-017-9412-6.</mixed-citation>
</ref>
<ref id="B12">
<label>12</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Monti</surname><given-names>L</given-names></name>
<name><surname>Ricci</surname><given-names>F</given-names></name>
<name><surname>Baggiano</surname><given-names>A</given-names></name>
<name><surname>Barison</surname><given-names>A</given-names></name>
<name><surname>Carrabba</surname><given-names>N</given-names></name>
<name><surname>Figliozzi</surname><given-names>S</given-names></name>
<etal/>
</person-group>
<article-title>Current Trends and Challenges in the Clinical Use of Cardiovascular Magnetic Resonance: A Survey from the Italian Society of Cardiology</article-title>
<source>Eur Heart J Imaging Methods Pract</source>
<year>2025</year>
<volume>3</volume>
<issue>1</issue>
<fpage>qyaf046</fpage>
<lpage>qyaf046</lpage>
<pub-id pub-id-type="doi">10.1093/ehjimp/qyaf046</pub-id>
</element-citation>
<mixed-citation>Monti L, Ricci F, Baggiano A, Barison A, Carrabba N, Figliozzi S, et al. Current Trends and Challenges in the Clinical Use of Cardiovascular Magnetic Resonance: A Survey from the Italian Society of Cardiology. Eur Heart J Imaging Methods Pract. 2025;3(1):qyaf046. doi: 10.1093/ehjimp/qyaf046.</mixed-citation>
</ref>
<ref id="B13">
<label>13</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Sieren</surname><given-names>MM</given-names></name>
<name><surname>Maintz</surname><given-names>D</given-names></name>
<name><surname>Gutberlet</surname><given-names>M</given-names></name>
<name><surname>Krombach</surname><given-names>GA</given-names></name>
<name><surname>Bamberg</surname><given-names>F</given-names></name>
<name><surname>Hunold</surname><given-names>P</given-names></name>
<etal/>
</person-group>
<article-title>Current Status of Cardiovascular Imaging in Germany: Structured Data from the National Certification Program, ESCR Registry, and Survey among Radiologists</article-title>
<source>Rofo</source>
<year>2022</year>
<volume>194</volume>
<issue>2</issue>
<fpage>181</fpage>
<lpage>191</lpage>
<pub-id pub-id-type="doi">10.1055/a-1554-9236</pub-id>
</element-citation>
<mixed-citation>Sieren MM, Maintz D, Gutberlet M, Krombach GA, Bamberg F, Hunold P, et al. Current Status of Cardiovascular Imaging in Germany: Structured Data from the National Certification Program, ESCR Registry, and Survey among Radiologists. Rofo. 2022;194(2):181-91. doi: 10.1055/a-1554-9236.</mixed-citation>
</ref>
<ref id="B14">
<label>14</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Banashefski</surname><given-names>B</given-names></name>
<name><surname>Ji</surname><given-names>R</given-names></name>
<name><surname>Dhruva</surname><given-names>SS</given-names></name>
<name><surname>Neuhaus</surname><given-names>J</given-names></name>
<name><surname>Redberg</surname><given-names>RF</given-names></name>
</person-group>
<article-title>Cardiac Coronary Tomography Angiography (CCTA) Use Across Geographical Regions in the USA and the UK: A Cross-Sectional Study</article-title>
<source>BMJ Surg Interv Health Technol</source>
<year>2023</year>
<volume>5</volume>
<issue>1</issue>
<elocation-id>e000201</elocation-id>
<pub-id pub-id-type="doi">10.1136/bmjsit-2023-000201</pub-id>
</element-citation>
<mixed-citation>Banashefski B, Ji R, Dhruva SS, Neuhaus J, Redberg RF. Cardiac Coronary Tomography Angiography (CCTA) Use Across Geographical Regions in the USA and the UK: A Cross-Sectional Study. BMJ Surg Interv Health Technol. 2023;5(1):e000201. doi: 10.1136/bmjsit-2023-000201.</mixed-citation>
</ref>
</ref-list>
<sec sec-type="supplementary-material" id="sec1">
<title>*Supplemental Materials</title>
<supplementary-material id="suppl1">
<media mimetype="application" mime-subtype="pdf" xlink:href="2675-312X-abcic-38-03-e20250053-suppl1.pdf"/>
<p>For additional information, please <ext-link ext-link-type="uri" xlink:href="http://abcimaging.org/supplementary-material/2025/3803/ABCImag_2025-0053_AO_Material-Suplementar_Censo-Saude-Suplementar.pdf">click here</ext-link>.</p>
</supplementary-material>
</sec>
</back>
<sub-article article-type="translation" id="S1" xml:lang="pt">
<front-stub>
<article-id pub-id-type="doi">10.36660/abcimg.20250053</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Artigo Original</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Panorama da Atuação Profissional em Tomografia e Ressonância Magnética Cardiovascular no Brasil</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">0000-0003-1418-9361</contrib-id>
<name><surname>Costa</surname><given-names>Isabela Bispo Santos da Silva</given-names></name>
<role>Concepção e desenho da pesquisa</role>
<role>Obtenção de dados</role>
<role>Análise e interpretação dos dados</role>
<role>Análise estatística</role>
<role>Redação do manuscrito</role>
<xref ref-type="aff" rid="aff10"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c2"/>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">0000-0002-3418-3226</contrib-id>
<name><surname>Torreão</surname><given-names>Jorge Andion</given-names></name>
<role>Concepção e desenho da pesquisa</role>
<role>Obtenção de dados</role>
<role>Redação do manuscrito</role>
<xref ref-type="aff" rid="aff11"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">0000-0002-6726-5324</contrib-id>
<name><surname>Fernandes</surname><given-names>Juliano de Lara</given-names></name>
<role>Concepção e desenho da pesquisa</role>
<role>Obtenção de dados</role>
<role>Redação do manuscrito</role>
<xref ref-type="aff" rid="aff12"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">0000-0002-5772-0434</contrib-id>
<name><surname>Trad</surname><given-names>Henrique</given-names></name>
<role>Concepção e desenho da pesquisa</role>
<role>Obtenção de dados</role>
<role>Redação do manuscrito</role>
<xref ref-type="aff" rid="aff13"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">0000-0002-6268-8838</contrib-id>
<name><surname>Liberato</surname><given-names>Gabriela</given-names></name>
<role>Concepção e desenho da pesquisa</role>
<role>Obtenção de dados</role>
<role>Redação do manuscrito</role>
<xref ref-type="aff" rid="aff14"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">0000-0003-0337-9469</contrib-id>
<name><surname>Sasdelli</surname><given-names>Roberto</given-names><suffix>Neto</suffix></name>
<role>Concepção e desenho da pesquisa</role>
<role>Obtenção de dados</role>
<role>Redação do manuscrito</role>
<xref ref-type="aff" rid="aff15"><sup>6</sup></xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">0000-0002-0711-7995</contrib-id>
<name><surname>Barberato</surname><given-names>Silvio Henrique</given-names></name>
<role>Revisão crítica do manuscrito quanto ao conteúdo intelectual importante</role>
<xref ref-type="aff" rid="aff16"><sup>7</sup></xref>
<xref ref-type="aff" rid="aff17"><sup>8</sup></xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">0000-0002-0886-0844</contrib-id>
<name><surname>Pinto</surname><given-names>Ibraim Masciarelli</given-names></name>
<role>Concepção e desenho da pesquisa</role>
<role>Análise e interpretação dos dados</role>
<role>Revisão crítica do manuscrito quanto ao conteúdo intelectual importante</role>
<xref ref-type="aff" rid="aff18"><sup>9</sup></xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">0000-0002-6728-3565</contrib-id>
<name><surname>Senra</surname><given-names>Tiago</given-names></name>
<role>Concepção e desenho da pesquisa</role>
<role>Obtenção de dados</role>
<role>Análise e interpretação dos dados</role>
<role>Análise estatística</role>
<role>Redação do manuscrito</role>
<role>Revisão crítica do manuscrito quanto ao conteúdo intelectual importante</role>
<xref ref-type="aff" rid="aff18"><sup>9</sup></xref>
</contrib>
<aff id="aff10">
<label>1</label>
<addr-line>
<named-content content-type="city">São Paulo</named-content>
<named-content content-type="state">SP</named-content>
</addr-line>
<country country="BR">Brasil</country>
<institution content-type="original">Universidade de São Paulo, Instituto do Câncer do Estado de São Paulo, São Paulo, SP – Brasil</institution>
</aff>
<aff id="aff11">
<label>2</label>
<addr-line>
<named-content content-type="city">Salvador</named-content>
<named-content content-type="state">BA</named-content>
</addr-line>
<country country="BR">Brasil</country>
<institution content-type="original">Hospital Santa Izabel, Salvador, BA – Brasil</institution>
</aff>
<aff id="aff12">
<label>3</label>
<addr-line>
<named-content content-type="city">Campinas</named-content>
<named-content content-type="state">SP</named-content>
</addr-line>
<country country="BR">Brasil</country>
<institution content-type="original">Instituto de Ensino e Pesquisa Jose Michel Kalaf, Campinas, SP – Brasil</institution>
</aff>
<aff id="aff13">
<label>4</label>
<addr-line>
<named-content content-type="city">Ribeirão Preto</named-content>
<named-content content-type="state">SP</named-content>
</addr-line>
<country country="BR">Brasil</country>
<institution content-type="original">Lotus Radiologia, Ribeirão Preto, SP – Brasil</institution>
</aff>
<aff id="aff14">
<label>5</label>
<addr-line>
<named-content content-type="city">São Paulo</named-content>
<named-content content-type="state">SP</named-content>
</addr-line>
<country country="BR">Brasil</country>
<institution content-type="original">Instituto do Coração (Incor) do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo, SP – Brasil</institution>
</aff>
<aff id="aff15">
<label>6</label>
<addr-line>
<named-content content-type="city">Paulo</named-content>
<named-content content-type="state">SP</named-content>
</addr-line>
<country country="BR">Brasil</country>
<institution content-type="original">Hospital Israelita Albert Einstein, Paulo, SP – Brasil</institution>
</aff>
<aff id="aff16">
<label>7</label>
<addr-line>
<named-content content-type="city">Curitiba</named-content>
<named-content content-type="state">PR</named-content>
</addr-line>
<country country="BR">Brasil</country>
<institution content-type="original">CardioEco Centro de Diagnostico Cardiovascular, Curitiba, PR – Brasil</institution>
</aff>
<aff id="aff17">
<label>8</label>
<addr-line>
<named-content content-type="city">Curitiba</named-content>
<named-content content-type="state">PR</named-content>
</addr-line>
<country country="BR">Brasil</country>
<institution content-type="original">Quanta Diagnóstico e Terapia – Ecocardiografia, Curitiba, PR – Brasil</institution>
</aff>
<aff id="aff18">
<label>9</label>
<addr-line>
<named-content content-type="city">São Paulo</named-content>
<named-content content-type="state">SP</named-content>
</addr-line>
<country country="BR">Brasil</country>
<institution content-type="original">Instituto Dante Pazzanese de Cardiologia, São Paulo, SP – Brasil</institution>
</aff>
</contrib-group>
<author-notes>
<corresp id="c2"><label>Correspondência:</label> <bold>Isabela Bispo Santos da Silva Costa</bold> • Universidade de São Paulo Instituto do Câncer do Estado de São Paulo. Av. Dr. Arnaldo, 251. CEP: <postal-code>01246-000</postal-code>, São Paulo, SP – Brasil E-mail: <email>isabelabispo@yahoo.com.br</email></corresp>
<fn fn-type="coi-statement"><label>Potencial conflito de interesse</label>
<p>Declaro não haver conflito de interesses pertinentes.</p></fn>
<fn fn-type="edited-by"><label>Editor responsável pela revisão:</label> <p>Marcelo Tavares</p></fn>
</author-notes>
<abstract>
<title>Resumo</title>
<sec>
<title>Fundamento:</title>
<p>O diagnóstico por imagem não invasivo nas doenças cardiovasculares vem crescendo em números e relevância nos últimos anos, sendo importante para detecção precoce de doenças cardiovasculares. Há escassez de dados brasileiros sobre disponibilidade dos métodos como tomografia computadorizada (TC) e ressonância magnética cardiovascular (RMC).</p>
</sec>
<sec>
<title>Objetivo:</title>
<p>Este estudo avaliou a distribuição regional da prática profissional e da realização desses exames, correlacionando com dados populacionais e número de profissionais atuantes.</p>
</sec>
<sec>
<title>Métodos:</title>
<p>Foi feito um levantamento por meio de questionário online aplicado aos profissionais que laudam TC e RMC e comparado aos dados demográficos e número de exames realizados nos sistemas públicos e privados brasileiros.</p>
</sec>
<sec>
<title>Resultados:</title>
<p>Um total de 219 profissionais responderam ao questionário, sendo 139 (63,8%) do sexo masculino, 161 (73,9%) cardiologistas e 46 (21,1%) radiologistas. De acordo com a região, nota-se: Sudeste com 125 profissionais (57,3%), Nordeste com 35 (16,1%), Sul com 30 (13,8%), Centro-Oeste com 22 (10,1%) e Norte com 6 (2,8%). O perfil desses profissionais nas diferentes regiões do país é semelhante, não se observando diferenças estatísticas com relação à proporção de homens (p = 0,2451), cardiologistas (p = 0,1325), radiologistas (p = 0,4564), tempo de treinamento &gt; 2 anos (p = 0,8519). O Sudeste apresentou o maior número absoluto de exames e a região Norte o menor número de exames.</p>
</sec>
<sec>
<title>Conclusão:</title>
<p>Os dados revelam disparidades estruturais no acesso à imagem cardiovascular no Brasil, no que se refere a números de profissionais e números de exames realizados. As diferentes realidades demográficas e econômicas nas regiões brasileiras estão em consonância com as discrepâncias regionais encontradas neste estudo.</p>
</sec>
</abstract>
<kwd-group xml:lang="pt">
<title>Palavras-chave:</title>
<kwd>Tomografia Computadorizada por Raios X</kwd>
<kwd>Imageamento por Ressonância Magnética</kwd>
<kwd>Doenças Cardiovasculares</kwd>
<kwd>Sistema Único de Saúde</kwd>
<kwd>Saúde Suplementar</kwd>
</kwd-group>
<funding-group>
<funding-statement>O presente estudo não teve fontes de financiamento externas</funding-statement>
</funding-group>
</front-stub>
<body>
<fig id="f6">
<caption>
<title>Perfil dos profissionais de acordo com a região do país.</title>
<p>RM: ressonância magnética; TC: tomografia cardíaca.</p></caption>
<graphic xlink:href="2675-312X-abcic-38-03-e20250053-gf03-pt.tif"/>
</fig>
<sec sec-type="intro">
<title>Introdução</title>
<p>A doença cardiovascular segue como principal causa de mortalidade no mundo.<sup><xref ref-type="bibr" rid="B1">1</xref>,<xref ref-type="bibr" rid="B2">2</xref></sup> Estudo feito nos Estados Unidos com base nos dados do National Center for Health Statistics (NCHS) evidenciou um total de 10.951.403 mortes cardiovasculares em adultos maiores que 35 anos no período de 2010 a 2022.<sup><xref ref-type="bibr" rid="B3">3</xref></sup> No Brasil, os dados são semelhantes e a mortalidade cardiovascular corresponde a aproximadamente 30% de todas as mortes do país.<sup><xref ref-type="bibr" rid="B4">4</xref></sup> O diagnóstico precoce e preciso é parte fundamental da investigação da doença cardiovascular e auxilia na decisão sobre o tratamento mais adequado, evitando assim ocorrências de complicações cardiovasculares como infarto, acidente vascular cerebral, revascularização e mortalidade cardiovascular. Dessa forma, métodos de imagem avançados como a tomografia computadorizada (TC) e ressonância magnética cardiovascular (RMC) ganharam destaque mundial, com crescimento exponencial nos últimos anos.<sup><xref ref-type="bibr" rid="B5">5</xref></sup></p>
<p>O aprimoramento de máquinas, de meios de contrastes, organização de serviços, aumento de aplicabilidade clínica dos exames e maior disponibilidade propiciaram um cenário extremamente favorável para o crescimento desta área. No Brasil, temos poucos dados disponíveis sobre esses exames na literatura. Dadas as dimensões continentais do país e de sua população e seu caráter heterogêneo no acesso à saúde tanto no Sistema Único de Saúde (SUS) quanto na saúde suplementar (SS), tornou-se importante compreender as diferentes realidades brasileiras. Para isso, foi idealizado um inquérito de profissionais envolvidos na imagem cardiovascular brasileira.</p>
<p>Com esse inquérito, acreditamos ser possível identificar regiões com carência de profissionais, o que permite direcionar políticas de incentivo à formação e capacitação, além de facilitar o planejamento de investimentos em infraestrutura, como a instalação de equipamentos avançados em áreas com maior demanda. Além disso, o levantamento pode ajudar a identificar lacunas no perfil de formação dos profissionais, indicando a necessidade de aprimorar currículos acadêmicos e programas de treinamento para garantir uma formação mais alinhada com as exigências tecnológicas e clínicas atuais, de acordo com as diretrizes da área, elaborando, dessa forma, um panorama da realidade brasileira.<sup><xref ref-type="bibr" rid="B6">6</xref></sup></p>
</sec>
<sec sec-type="methods">
<title>Metodologia</title>
<p>Objetivou-se com a realização deste levantamento: identificar o perfil dos profissionais médicos que atuam na imagem cardiovascular com foco em TC e RMC em 2024; avaliar sua distribuição geográfica no Brasil; avaliar tempo de treinamento em imagem cardiovascular; correlacionar os dados obtidos com o número de exames realizados no SUS e na medicina suplementar no mesmo ano.</p>
<p>O presente estudo transversal foi feito por meio de um questionário online aplicado aos profissionais de saúde que atuam no laudo de exames de TC e RMC no Brasil. Este levantamento é uma parceria do Departamento de Imagem Cardiovascular (DIC) da Sociedade Brasileira de Cardiologia (SBC) e da Sociedade Paulista de Radiologia (SPR).</p>
<p>O questionário consiste em quatro perguntas:</p>
<sec>
<title/>
<sec>
<title>Qual(is) sua(s) especialidade(s) médica(s) (múltipla escolha):</title>
<list list-type="order">
<list-item><p>Cardiologista</p></list-item>
<list-item><p>Radiologista</p></list-item>
<list-item><p>Pediatra</p></list-item>
<list-item><p>Cirurgião cardíaco</p></list-item>
</list>
</sec>
<sec>
<title>Onde você atua?</title>
<list list-type="order">
<list-item><p>Sudeste</p></list-item>
<list-item><p>Nordeste</p></list-item>
<list-item><p>Centro-Oeste</p></list-item>
<list-item><p>Norte</p></list-item>
<list-item><p>Sul</p></list-item>
</list>
</sec>
<sec>
<title>Quantos anos de treinamento em TC/RM cardiovascular?</title>
<list list-type="order">
<list-item><p>&lt; 1 ano</p></list-item>
<list-item><p>1 ano</p></list-item>
<list-item><p>2 anos</p></list-item>
<list-item><p>&gt; 2 anos</p></list-item>
</list>
</sec>
<sec sec-type="methods">
<title>Quais métodos você trabalha (múltipla escolha)?</title>
<list list-type="order">
<list-item><p>Tomografia computadorizada</p></list-item>
<list-item><p>Ressonância magnética</p></list-item>
<list-item><p>Ecocardiografia</p></list-item>
<list-item><p>Medicina nuclear</p></list-item>
</list>
<p>Este questionário foi divulgado nos sites das sociedades médicas envolvidas, em grupos de mensagens, congressos médicos e webinars com alvo em profissionais de saúde que laudam TC/RMC no Brasil. O questionário esteve disponível de outubro de 2024 a janeiro de 2025 no site: <ext-link ext-link-type="uri" xlink:href="https://docs.google.com/forms/d/e/1FAIpQLSchvk0lti_TbezPstpC9PK3Qz_KuU5zyd79MwYama2M6vbDng/viewform?usp=sf_link">https://docs.google.com/forms/d/e/1FAIpQLSchvk0lti_TbezPstpC9PK3Qz_KuU5zyd79MwYama2M6vbDng/viewform?usp=sf_link</ext-link>.</p>
<p>O levantamento do número total de exames realizados no SUS no ambiente ambulatorial e de pacientes internados por região do Brasil foi feito por meio da consulta ao DATASUS (<ext-link ext-link-type="uri" xlink:href="https://datasus.saude.gov.br/home/tabnet">https://datasus.saude.gov.br/home/tabnet</ext-link>) em maio de 2025 em busca do código 0207020019 Ressonância Magnética de coração/aorta c/cine. Não foi possível estimar o número de exames de TC de coração para avaliação do escore de cálcio ou angiotomografia de artérias coronárias (angio-TCC) devido à inexistência de códigos específicos para esses exames no SUS.</p>
<p>O levantamento do número total de exames realizados na medicina suplementar no ambiente ambulatorial e de pacientes internados por região do Brasil foi feito por meio da consulta ao site da Agência de Saúde Suplementar Brasileira (ANS, acessado em: <ext-link ext-link-type="uri" xlink:href="https://www.gov.br/ans/pt-br/acesso-a-informacao/perfil-do-setor/dados-e-indicadores-do-setor/d-tiss-painel-dos-dados-do-tiss">https://www.gov.br/ans/pt-br/acesso-a-informacao/perfil-do-setor/dados-e-indicadores-do-setor/d-tiss-painel-dos-dados-do-tiss</ext-link>) em maio de 2025 em busca dos códigos abaixo:</p>
<list list-type="simple">
<list-item><label>–</label> <p>41101138 RM - Coração - morfológico e funcional</p></list-item>
<list-item><label>–</label> <p>41101146 RM - Coração - morfológico e funcional + perfusão + estresse</p></list-item>
<list-item><label>–</label> <p>41101154 RM - Coração - morfológico e funcional + perfusão + viabilidade miocárdica</p></list-item>
<list-item><label>–</label> <p>41001087 TC - Coração - para avaliação do escore de cálcio coronariano</p></list-item>
<list-item><label>–</label> <p>41001230 TC - Angiotomografia coronariana</p></list-item>
</list>
<p>Os códigos 41101138, 41101146 e 41101154 foram agrupados sob a classificação RMC.</p>
<p>Não foram incluídos exames particulares no levantamento.</p>
<p>Foi realizado também levantamento sobre dados demográficos brasileiros do último censo, disponíveis em: <ext-link ext-link-type="uri" xlink:href="https://www.ibge.gov.br/estatisticas/todos-os-produtos-estatisticas.html">https://www.ibge.gov.br/estatisticas/todos-os-produtos-estatisticas.html</ext-link> (ver Material Suplementar).</p>
<p>As informações coletadas pelo questionário foram analisadas em conjunto com os dados sobre número de exames realizados no Brasil por região do país e dados demográficos.</p>
</sec>
</sec>
<sec>
<title>Análise Estatística</title>
<p>As variáveis contínuas foram apresentadas por média e desvio padrão para variáveis com distribuição normal ou mediana e intervalo interquartil para aquelas com distribuição não normal. As variáveis categóricas foram apresentadas em forma de frequências absolutas e relativas (percentuais). As variáveis contínuas foram analisadas com o teste t de Student ou teste U de Mann-Whitney e as variáveis categóricas com teste qui-quadrado ou teste exato de Fisher. Os valores de p &lt; 0,05 foram considerados significantes e o programa SPSS (<italic>Statistical Package for the Social Sciences</italic>), versão 18.0 (SPSS Inc., Chicago, Illinois, EUA) foi utilizado para análise dos dados.</p>
</sec>
</sec>
<sec sec-type="results">
<title>Resultados</title>
<p>Um total de 219 profissionais responderam ao questionário, sendo 139 (63,8%) do sexo masculino e 80 (36,7%) do sexo feminino. Com relação à especialidade médica, 161 (73,9%) são cardiologistas e 46 (21,1%) são radiologistas. A distribuição desses profissionais pelas regiões brasileiras é heterogênea: Sudeste com 125 profissionais (57,3%), Nordeste com 35 (16,1%), Sul com 30 (13,8%), Centro-Oeste com 22 (10,1%) e Norte com 6 (2,8%). A maioria dos profissionais teve 2 ou mais anos de formação em imagem cardiovascular (169 profissionais; 77,5%) e laudam TC (219 profissionais; 100%) e RMC (210 profissionais; 96,3%); a minoria atua ainda na ecocardiografia (39 profissionais; 17,9%) ou medicina nuclear (12 profissionais; 5,5%). A <xref ref-type="table" rid="t5">Tabela 1</xref> resume os dados basais descritos.</p>
<table-wrap id="t5">
<label>Tabela 1</label>
<caption>
<title>Perfil dos profissionais que laudam tomografia e ressonância magnética cardiovascular no Brasil</title></caption>
<table frame="hsides" rules="groups">
<colgroup width="33%">
<col/>
<col/>
<col/>
</colgroup>
<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
<tr style="background-color:#C58874">
<th align="left" valign="middle">Variáveis</th>
<th align="center" valign="middle">n</th>
<th align="center" valign="middle">%</th>
</tr>
<tr style="background-color:#C58874">
<th align="left" valign="middle" colspan="3" style="border-top: thin solid; border-color: #000000">Sexo</th>
</tr>
</thead>
<tbody style="border-bottom: thin solid; border-color: #000000">
<tr>
<td align="left" valign="middle">Masculino</td>
<td align="center" valign="middle">139</td>
<td align="center" valign="middle">63,8</td>
</tr>
<tr style="background-color:#E8CCBF">
<td align="left" valign="middle">Feminino</td>
<td align="center" valign="middle">80</td>
<td align="center" valign="middle">36,7</td>
</tr>
<tr style="background-color:#C58874">
<td align="left" valign="middle" colspan="3" style="border-top: thin solid; border-color: #000000"><bold>Formação médica</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Cardiologista</td>
<td align="center" valign="middle">161</td>
<td align="center" valign="middle">73,9</td>
</tr>
<tr style="background-color:#E8CCBF">
<td align="left" valign="middle">Radiologista</td>
<td align="center" valign="middle">46</td>
<td align="center" valign="middle">21,1</td>
</tr>
<tr>
<td align="left" valign="middle">Cardiopediatra</td>
<td align="center" valign="middle">8</td>
<td align="center" valign="middle">3,7</td>
</tr>
<tr style="background-color:#E8CCBF">
<td align="left" valign="middle">Cirurgião cardíaco</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">0,5</td>
</tr>
<tr>
<td align="left" valign="middle">Cardiologista/radiologista</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">0,9</td>
</tr>
<tr style="background-color:#C58874">
<td align="left" valign="middle" colspan="3" style="border-top: thin solid; border-color: #000000"><bold>Região do país</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Norte</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">2,8</td>
</tr>
<tr style="background-color:#E8CCBF">
<td align="left" valign="middle">Nordeste</td>
<td align="center" valign="middle">35</td>
<td align="center" valign="middle">16,1</td>
</tr>
<tr>
<td align="left" valign="middle">Centro-Oeste</td>
<td align="center" valign="middle">22</td>
<td align="center" valign="middle">10,1</td>
</tr>
<tr style="background-color:#E8CCBF">
<td align="left" valign="middle">Sudeste</td>
<td align="center" valign="middle">125</td>
<td align="center" valign="middle">57,3</td>
</tr>
<tr>
<td align="left" valign="middle">Sul</td>
<td align="center" valign="middle">30</td>
<td align="center" valign="middle">13,8</td>
</tr>
<tr style="background-color:#C58874">
<td align="left" valign="middle" colspan="3" style="border-top: thin solid; border-color: #000000"><bold>Tempo de treinamento</bold></td>
</tr>
<tr>
<td align="left" valign="middle">&lt; 1 ano</td>
<td align="center" valign="middle">12</td>
<td align="center" valign="middle">5,5</td>
</tr>
<tr style="background-color:#E8CCBF">
<td align="left" valign="middle">1 ano</td>
<td align="center" valign="middle">37</td>
<td align="center" valign="middle">17,0</td>
</tr>
<tr>
<td align="left" valign="middle">2 anos</td>
<td align="center" valign="middle">130</td>
<td align="center" valign="middle">59,6</td>
</tr>
<tr style="background-color:#E8CCBF">
<td align="left" valign="middle">&gt; 2 anos</td>
<td align="center" valign="middle">39</td>
<td align="center" valign="middle">17,9</td>
</tr>
<tr style="background-color:#C58874">
<td align="left" valign="middle" colspan="3" style="border-top: thin solid; border-color: #000000"><bold>Métodos de imagem</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Tomografia computadorizada</td>
<td align="center" valign="middle">219</td>
<td align="center" valign="middle">100</td>
</tr>
<tr style="background-color:#E8CCBF">
<td align="left" valign="middle">Ressonância magnética</td>
<td align="center" valign="middle">210</td>
<td align="center" valign="middle">96,3</td>
</tr>
<tr>
<td align="left" valign="middle">Medicina nuclear</td>
<td align="center" valign="middle">12</td>
<td align="center" valign="middle">5,5</td>
</tr>
<tr style="background-color:#E8CCBF">
<td align="left" valign="middle">Ecocardiografia</td>
<td align="center" valign="middle">39</td>
<td align="center" valign="middle">17,9</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>De acordo com o sexo dos profissionais, nota-se que as mulheres e homens têm semelhanças no que se refere à especialidade médica de origem, mas diferem quanto ao tempo de formação em imagem cardíaca (<xref ref-type="table" rid="t6">Tabela 2</xref>). A proporção de homens que responderam que tiveram um tempo de treinamento 2 anos ou mais foi menor que entre as mulheres (100 [72,5%] versus 69 [86,3%], respetivamente; p = 0,029).</p>
<table-wrap id="t6">
<label>Tabela 2</label>
<caption>
<title>Perfil dos profissionais de acordo com o sexo</title></caption>
<table frame="hsides" rules="groups">
<colgroup width="25%">
<col/>
<col/>
<col/>
<col/>
</colgroup>
<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
<tr style="background-color:#C58874">
<th align="left" valign="middle">Categoria</th>
<th align="center" valign="middle">Mulheres (n, %)</th>
<th align="center" valign="middle">Homens (n, %)</th>
<th align="center" valign="middle">Valor p</th>
</tr>
</thead>
<tbody style="border-bottom: thin solid; border-color: #000000">
<tr>
<td align="left" valign="middle">Cardiologista</td>
<td align="center" valign="middle">58 (72,5%)</td>
<td align="center" valign="middle">104 (75,4%)</td>
<td align="center" valign="middle">0,7601</td>
</tr>
<tr style="background-color:#E8CCBF">
<td align="left" valign="middle">Radiologista</td>
<td align="center" valign="middle">14 (17,5%)</td>
<td align="center" valign="middle">32 (23,2%)</td>
<td align="center" valign="middle">0,4123</td>
</tr>
<tr>
<td align="left" valign="middle">Treinamento ≥ 2 anos</td>
<td align="center" valign="middle">69 (86,3%)</td>
<td align="center" valign="middle">100 (72,5%)</td>
<td align="center" valign="middle">0,0291</td>
</tr>
<tr style="background-color:#E8CCBF">
<td align="left" valign="middle">RM/TC/RM+TC</td>
<td align="center" valign="middle">63 (78,8%)</td>
<td align="center" valign="middle">110 (79,7%)</td>
<td align="center" valign="middle">1,0</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TFN4">
<p>RM: ressonância magnética; TC: tomografia computadorizada.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>A análise proporcional dos números dos profissionais em relação à distribuição porcentual da população brasileira mostra que nas regiões Norte e Nordeste a proporção de profissionais é menor que a distribuição porcentual da população brasileira, sugerindo uma carência de profissionais naquelas regiões. Já na região Sudeste a concentração de profissionais é maior que a distribuição da população brasileira (<xref ref-type="fig" rid="f4">Figura 1</xref>). O perfil desses profissionais nas diferentes regiões do país é semelhante, não se observando diferenças estatísticas com relação à proporção de homens (p = 0,2451), cardiologistas (p = 0,1325), radiologistas (p = 0,4564), tempo de treinamento maior ou igual a 2 anos (p = 0,8519), e métodos de imagem adicional (p = 0,4361) (Figura Central).</p>
<fig id="f4">
<label>Figura 1</label>
<caption>
<title>Proporção dos profissionais da imagem cardiovascular do país com a distribuição percentual da população brasileira.</title></caption>
<graphic xlink:href="2675-312X-abcic-38-03-e20250053-gf01-pt.tif"/>
</fig>
<p>Com relação ao número de exames no país em 2024, foram realizadas 14.966 ressonâncias no SUS. Na SS, foram 44.382 ressonâncias, 130.189 angio-TCC e 2.629 escores de cálcio. A distribuição dos exames por região do país está apresentada na <xref ref-type="table" rid="t7">Tabela 3</xref>. A análise da distribuição dos exames de imagem cardiovascular no Brasil revela disparidades importantes entre regiões e entre os sistemas público e suplementar. Considerando-se os exames realizados por RMC no SUS, observa-se uma concentração expressiva na região Sudeste, com 9.404 exames, seguida pelas regiões Nordeste (2.855), Sul (1.759), Centro-Oeste (849) e Norte (99).</p>
<table-wrap id="t7">
<label>Tabela 3</label>
<caption>
<title>Número de exames de ressonância e tomografia de acordo com a região do país e sistema de saúde</title></caption>
<table frame="hsides" rules="groups">
<colgroup width="17%">
<col/>
<col/>
<col/>
<col/>
<col/>
<col/>
</colgroup>
<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
<tr style="background-color:#C58874">
<th align="left" valign="middle">Exames</th>
<th align="center" valign="middle" colspan="5">Número por região do país</th>
</tr>
<tr style="background-color:#C58874">
<th align="left" valign="middle" style="border-top: thin solid; border-color: #000000">SUS</th>
<th align="center" valign="middle" style="border-top: thin solid; border-color: #000000">Norte</th>
<th align="center" valign="middle" style="border-top: thin solid; border-color: #000000">Nordeste</th>
<th align="center" valign="middle" style="border-top: thin solid; border-color: #000000">Centro-Oeste</th>
<th align="center" valign="middle" style="border-top: thin solid; border-color: #000000">Sudeste</th>
<th align="center" valign="middle" style="border-top: thin solid; border-color: #000000">Sul</th>
</tr>
</thead>
<tbody style="border-bottom: thin solid; border-color: #000000">
<tr>
<td align="left" valign="middle">RMC</td>
<td align="center" valign="middle">99</td>
<td align="center" valign="middle">2.855</td>
<td align="center" valign="middle">849</td>
<td align="center" valign="middle">9.404</td>
<td align="center" valign="middle">1.759</td>
</tr>
<tr style="background-color:#C58874">
<td align="left" valign="middle" style="border-top: thin solid; border-color: #000000"><bold>Saúde suplementar</bold></td>
<td align="center" valign="middle" style="border-top: thin solid; border-color: #000000"><bold>Norte</bold></td>
<td align="center" valign="middle" style="border-top: thin solid; border-color: #000000"><bold>Nordeste</bold></td>
<td align="center" valign="middle" style="border-top: thin solid; border-color: #000000"><bold>Centro-Oeste</bold></td>
<td align="center" valign="middle" style="border-top: thin solid; border-color: #000000"><bold>Sudeste</bold></td>
<td align="center" valign="middle" style="border-top: thin solid; border-color: #000000"><bold>Sul</bold></td>
</tr>
<tr>
<td align="left" valign="middle">RMC</td>
<td align="center" valign="middle">1.130</td>
<td align="center" valign="middle">3.487</td>
<td align="center" valign="middle">3.318</td>
<td align="center" valign="middle">22.492</td>
<td align="center" valign="middle">13.955</td>
</tr>
<tr style="background-color:#E8CCBF">
<td align="left" valign="middle">Angio-TCC</td>
<td align="center" valign="middle">3.209</td>
<td align="center" valign="middle">10.902</td>
<td align="center" valign="middle">14.622</td>
<td align="center" valign="middle">66.304</td>
<td align="center" valign="middle">35.152</td>
</tr>
<tr>
<td align="left" valign="middle">Escore de cálcio</td>
<td align="center" valign="middle">12</td>
<td align="center" valign="middle">363</td>
<td align="center" valign="middle">118</td>
<td align="center" valign="middle">1.041</td>
<td align="center" valign="middle">1.095</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TFN5">
<p>Angio-TCC: angiotomografia de artérias coronárias; RMC: ressonância magnética cardíaca; SUS: Sistema Único de Saúde.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Nos dados da SS, a desigualdade regional persiste, mas com números absolutos consideravelmente maiores em todas as regiões. O Sudeste se destaca novamente com 22.492 exames de ressonância, representando uma disponibilidade maior na saúde privada. Sul (13.955) e Centro-Oeste (3.318) também apresentam volumes expressivos, contrastando com o Norte (1.130) e o Nordeste (3.487), que permanecem com menor acesso, ainda que superior ao observado no SUS.</p>
<p>Os exames de angio-TCC também são amplamente concentrados nas regiões Sudeste (66.304) e Sul (35.152), com números bem inferiores no Norte (3.209), Nordeste (10.902) e Centro-Oeste (14.622). Os exames de escore de cálcio, por sua vez, seguem um padrão semelhante, com destaque para o Sul (1.095) e Sudeste (1.041), evidenciando a maior penetração dessas ferramentas de estratificação de risco cardiovascular em áreas com maior densidade de serviços especializados.</p>
<p>A região Sudeste, com 36% da população usuária do SUS e 59,7% da população da SS, concentra de forma desproporcional 62,8% das RMC realizadas no SUS e 50,7% das angio-TCC e RMC na SS, além de 57,3% dos profissionais especializados em imagem cardiovascular. Na direção oposta, a região Norte, com 10,4% da população vinculada ao SUS e 3,7% da SS, responde por apenas 0,7% das RMC realizadas no SUS, 2,4% das angio-TCC suplementares e 2,8% dos profissionais da área, configurando um cenário de acentuada carência assistencial. Já o Sul, com cerca de 14% da população em cada sistema, realiza 27,3% das tomografias e 31,4% das ressonâncias na SS, embora concentre apenas 13,8% dos profissionais especializados. Isso sugere uma alta densidade de exames por profissional nessa região. Esses dados estão detalhados na <xref ref-type="fig" rid="f5">Figura 2</xref>.</p>
<fig id="f5">
<label>Figura 2</label>
<caption>
<title>Distribuição percentual do número de exames, população atendida do Sistema Único de Saúde e saúde suplementar e proporção de profissionais de imagem cardiovascular no país.</title>
<p>% pop SUS: percentual da população atendida pelo Sistema Único de Saúde; % prof Im CV: percentual de profissionais de imagem cardiovascular na região; % pop Supl: percentual da população atendida pela saúde suplementar; RM Supl %: percentual de ressonâncias magnéticas realizadas na saúde suplementar; RM SUS %: percentual de ressonâncias magnéticas realizadas no Sistema Único de Saúde; TC Supl %: percentual de tomografias cardíacas realizadas na saúde suplementar.</p></caption>
<graphic xlink:href="2675-312X-abcic-38-03-e20250053-gf02-pt.tif"/>
</fig>
<p>A <xref ref-type="table" rid="t8">Tabela 4</xref> evidencia a relação entre o número total de exames de imagem cardiovascular realizados e variáveis estruturais regionais, como população, produto interno bruto (PIB) e número de profissionais atuantes. Observa-se que a região Sul, com 31,1 milhões de habitantes e PIB de R$ 1,56 trilhões, apresentou a maior taxa de exames por 100 mil habitantes (167,007) e a maior produtividade relativa ao PIB (33.312 exames por bilhão de reais), mesmo com um número moderado de profissionais (n = 30). O Sudeste, com maior população (88,6 milhões), maior PIB (R$ 4,71 trilhões) e número absoluto de profissionais (n = 125), apresentou a segunda maior taxa de exames por 100 mil habitantes (111,988) e elevada eficiência em relação ao PIB (21.056,94 exames/bi). Em contrapartida, a região Norte, com apenas 6 profissionais e o menor PIB regional, realizou o menor número absoluto e proporcional de exames (22,275/100 mil habitantes; 7.889,17 exames/bi), evidenciando importante subutilização dos recursos diagnósticos. As regiões Nordeste e Centro-Oeste apresentaram resultados intermediários, com taxas crescentes de exames por habitante e por bilhão de PIB, compatíveis com a respectiva densidade de profissionais. Esses achados devem, certamente, ser analisados com cautela, mas mostram a influência da infraestrutura econômica sobre o acesso regional aos métodos de imagem cardiovascular no Brasil. A capacidade econômica regional e o tamanho populacional parecem influenciar a disponibilidade e utilização de exames, dados que indiretamente podem ser reflexos do acesso da população à SS, não somente à disponibilidade de profissionais naquela região.</p>
<table-wrap id="t8">
<label>Tabela 4</label>
<caption>
<title>Relação do número de exames realizados de acordo com população local, produto interno bruto e número de profissionais na região</title></caption>
<table frame="hsides" rules="groups">
<colgroup width="14%">
<col/>
<col/>
<col/>
<col/>
<col/>
<col/>
<col/>
</colgroup>
<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
<tr style="background-color:#C58874">
<th align="left" valign="middle"/>
<th align="center" valign="middle">População</th>
<th align="center" valign="middle">PIB (bi)</th>
<th align="center" valign="middle">Profissionais</th>
<th align="center" valign="middle">Total exames</th>
<th align="center" valign="middle">Exams/100,000 inhabitants</th>
<th align="center" valign="middle">Exames/bi PIB</th>
</tr>
</thead>
<tbody style="border-bottom: thin solid; border-color: #000000">
<tr>
<td align="left" valign="middle">Norte</td>
<td align="center" valign="middle">19.977.877</td>
<td align="center" valign="middle">0,564064</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">4.450</td>
<td align="center" valign="middle">22,275</td>
<td align="center" valign="middle">7.889,17</td>
</tr>
<tr style="background-color:#E8CCBF">
<td align="left" valign="middle">Nordeste</td>
<td align="center" valign="middle">57.112.096</td>
<td align="center" valign="middle">1,243104</td>
<td align="center" valign="middle">35</td>
<td align="center" valign="middle">17.607</td>
<td align="center" valign="middle">30,829</td>
<td align="center" valign="middle">14.163,74</td>
</tr>
<tr>
<td align="left" valign="middle">Centro-Oeste</td>
<td align="center" valign="middle">16.289.538</td>
<td align="center" valign="middle">0,932166</td>
<td align="center" valign="middle">22</td>
<td align="center" valign="middle">18.907</td>
<td align="center" valign="middle">60,769</td>
<td align="center" valign="middle">20.282,86</td>
</tr>
<tr style="background-color:#E8CCBF">
<td align="left" valign="middle">Sudeste</td>
<td align="center" valign="middle">88.617.693</td>
<td align="center" valign="middle">4,712982</td>
<td align="center" valign="middle">125</td>
<td align="center" valign="middle">99.241</td>
<td align="center" valign="middle">111,988</td>
<td align="center" valign="middle">21.056,94</td>
</tr>
<tr>
<td align="left" valign="middle">Sul</td>
<td align="center" valign="middle">31.113.021</td>
<td align="center" valign="middle">1,559828</td>
<td align="center" valign="middle">30</td>
<td align="center" valign="middle">51.961</td>
<td align="center" valign="middle">167,007</td>
<td align="center" valign="middle">33.312,00</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TFN6">
<p>bi: bilhões; hab: habitantes; PIB: produto interno bruto.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec sec-type="discussion">
<title>Discussão</title>
<p>O crescimento dos métodos diagnósticos não invasivos na avaliação da cardiologia é uma realidade mundial.<sup><xref ref-type="bibr" rid="B5">5</xref></sup> Esse aumento foi resultado do número crescente de evidências científicas publicadas na literatura que reforçam a importância dos métodos no diagnóstico da doença cardiovascular.<sup><xref ref-type="bibr" rid="B7">7</xref></sup> As principais diretrizes nacionais e internacionais sobre o tema destacam o papel da angio-TCC, escore de cálcio e RMC no diagnóstico das doenças cardiovasculares e do acometimento cardiovascular em doenças sistêmicas.<sup><xref ref-type="bibr" rid="B6">6</xref>,<xref ref-type="bibr" rid="B8">8</xref>–<xref ref-type="bibr" rid="B10">10</xref></sup></p>
<p>A incorporação da angio-TCC como abordagem inicial para investigação de pacientes com doença arterial coronariana no Reino Unido trouxe resultados expressivos após mais de meia década de implementação. O National Institute for Health and Care Excellence (NICE), órgão responsável por qualidade e decisões baseadas em evidências no Serviço Nacional de Saúde (NHS), recomendou o uso da angio-TCC como teste diagnóstico preferencial para avaliação de dor torácica.<sup><xref ref-type="bibr" rid="B11">11</xref></sup> Este estudo revelou que, nas regiões que adotaram plenamente a recomendação, houve uma redução significativa na realização de cintilografias miocárdicas. A mudança na estratégia de investigação também se associou à redução discreta da angiografia coronariana invasiva, assim como à redução da mortalidade cardiovascular. Além disso, identificou-se uma tendência de diminuição na mortalidade por todas as causas, reforçando a eficácia do modelo proposto. Esses dados confirmam o papel central da angio-TCC, não apenas na melhoria de desfechos clínicos, mas também seu potencial de otimizar recursos no sistema de saúde público do Reino Unido.<sup><xref ref-type="bibr" rid="B11">11</xref></sup></p>
<p>No Brasil, a realidade não é a mesma. No SUS brasileiro este exame não é amplamente disponível. Mesmo quando disponível, não temos como quantificar sua utilização dada a falta de codificação. Na SS, frequentemente é solicitada avaliação prévia por testes de isquemia positivos, além de critérios que muitas vezes limitam seu emprego, o que deveria ser revisto. Os dados apresentados revelam importante desigualdade na oferta e utilização de exames avançados de imagem cardiovascular no Brasil, tanto entre as diferentes regiões do país quanto entre o SUS e a SS. A concentração de exames nas regiões Sudeste e Sul, especialmente no setor privado, contrasta com a baixa oferta observada no Norte, Nordeste e Centro-Oeste, evidenciando limitações estruturais e assistenciais nessas localidades.</p>
<p>Essas desigualdades regionais no acesso aos exames de imagem cardiovascular apontam para limitações estruturais e assimetrias históricas na distribuição de recursos no sistema de saúde brasileiro. Apesar da maior parte dos exames se concentrar nas regiões mais desenvolvidas economicamente, a alta produtividade relativa observada no Sul sugere uma possível otimização do uso da infraestrutura existente, ou ainda, um mercado privado mais consolidado, com maior acesso à SS. Por outro lado, o desempenho limitado do Norte, mesmo quando ajustado por PIB e número de habitantes, evidencia barreiras adicionais, como carência de equipamentos, baixa cobertura de SS e escassez de profissionais capacitados. A discrepância entre as regiões reforça a necessidade de políticas públicas específicas que promovam a interiorização da formação profissional, o investimento em infraestrutura diagnóstica no SUS e a regulação mais equitativa do acesso aos métodos de imagem, de modo a garantir cobertura mínima e justa em todas as regiões do país.</p>
<p>Os achados da presente análise dialogam com os resultados apresentados por Monti et al.,<sup><xref ref-type="bibr" rid="B12">12</xref></sup> em levantamento conduzido pelo grupo de trabalho em RMC da Sociedade Italiana de Cardiologia. O estudo identificou barreiras estruturais e operacionais semelhantes às observadas no Brasil, incluindo limitações no acesso à RMC, disparidades regionais e subutilização da técnica mesmo em centros com capacidade instalada. Além disso, destacou-se a escassez de profissionais com treinamento específico como um dos principais entraves à ampliação do uso clínico da RMC. Tais desafios, compartilhados em diferentes sistemas de saúde, reforçam a importância de estratégias coordenadas para expandir a formação de especialistas, otimizar o uso de recursos disponíveis e integrar a RMC às diretrizes assistenciais de forma mais ampla e equitativa.</p>
<p>Dados provenientes do programa nacional de certificação da Alemanha e do registro da European Society of Cardiovascular Radiology (ESCR) evidenciam uma expressiva heterogeneidade na oferta e utilização da imagem cardiovascular, tanto entre instituições quanto entre especialidades médicas. O estudo destacou a necessidade de padronização nos processos de formação, certificação e controle de qualidade, apontando que, mesmo em um país com ampla disponibilidade tecnológica, a ausência de uniformidade na qualificação profissional e na incorporação da imagem aos fluxos clínicos limita seu uso sistemático.<sup><xref ref-type="bibr" rid="B13">13</xref></sup> De forma semelhante, uma análise recente sobre o uso da angio-TCC em diferentes regiões dos Estados Unidos e do Reino Unido revelou desigualdades relevantes no acesso e na adoção do exame, associadas à disponibilidade de equipamentos, presença de especialistas treinados e variações nas diretrizes clínicas regionais.<sup><xref ref-type="bibr" rid="B14">14</xref></sup> Esses achados reforçam que, mesmo em sistemas de saúde avançados, a consolidação da imagem cardiovascular como ferramenta diagnóstica de rotina exige políticas estruturadas de formação, acreditação profissional e governança técnica — desafios que são particularmente críticos no cenário brasileiro, marcado por desigualdades regionais ainda mais acentuadas.</p>
<p>Com base nos achados apresentados, é possível propor estratégias para mitigar as desigualdades regionais no acesso à imagem cardiovascular no Brasil. A criação de centros regionais de formação e capacitação em angio-TCC e RMC, especialmente nas regiões Norte, Nordeste e Centro-Oeste, pode promover a interiorização da expertise e contribuir para a fixação de profissionais. Nesse sentido, a oferta de bolsas de fixação vinculadas a programas de residência médica, mestrado ou doutorado, com financiamento por agências como a CAPES e o CNPq, deve ser orientada por dados epidemiológicos e estruturais obtidos por meio de censos nacionais da área. Adicionalmente, parcerias público-privadas para aquisição e manutenção de equipamentos de imagem avançada podem ser estratégicas para regiões com baixa cobertura tecnológica, desde que acompanhadas por protocolos regulatórios claros que garantam o uso prioritário pelo SUS. Essas medidas integradas podem contribuir para uma maior equidade na oferta de exames, ampliando o impacto clínico e social da imagem cardiovascular no país.</p>
<p>Os nossos dados apresentam limitações importantes. Acreditamos que o número de profissionais de imagem nesse levantamento esteja subestimado, especialmente com relação à participação de médicos radiologistas. Dados internacionais mostram que a participação de médicos radiologistas é maior.<sup><xref ref-type="bibr" rid="B5">5</xref></sup> Estas limitações ocorreram pela participação voluntária dos profissionais envolvidos, bem como pela participação da representação de radiologista ser vinculada em sua maioria à SPR, que tem sua atuação em São Paulo. A ausência de codificação no SUS não permitiu que tivéssemos acesso ao número de angio-TCC e escore de cálcio. A ausência de dados referentes a exames particulares realizados no país foi uma limitação, com provável impacto não significativo no levantamento, dada sua baixa proporção na realidade brasileira.</p>
<p>Por fim, os nossos resultados demonstram uma acentuada desigualdade na oferta e utilização dos exames de imagem cardiovascular no Brasil, com maior concentração de recursos e procedimentos nas regiões Sudeste e Sul, e marcada escassez nas demais regiões. Essa assimetria não se limita à infraestrutura tecnológica e econômica, mas também reflete uma deficiência de profissionais qualificados na área, especialmente em regiões mais vulneráveis. Diante desse cenário, torna-se evidente a necessidade de estratégias voltadas à formação, capacitação contínua e fixação de especialistas em imagem cardiovascular, como componente essencial para ampliar o acesso e garantir uma assistência mais equitativa. Investir no desenvolvimento de capital humano é um passo indispensável para consolidar a imagem cardiovascular como ferramenta diagnóstica de rotina e melhorar a qualidade do cuidado em todo o território nacional.</p>
</sec>
</body>
<back>
<fn-group>
<fn fn-type="financial-disclosure" id="fn5"><label>Fontes de financiamento</label>
<p>O presente estudo não teve fontes de financiamento externas.</p></fn>
<fn fn-type="other" id="fn6"><label>Vinculação acadêmica</label>
<p>Não há vinculação deste estudo a programas de pós-graduação.</p></fn>
<fn fn-type="other" id="fn7"><label>Aprovação ética e consentimento informado</label>
<p>Este estudo foi aprovado pelo Comitê de Ética do Instituto Dante Pazzanese sob o número de protocolo CAAE 85943025.6.0000.5462. Todos os procedimentos envolvidos nesse estudo estão de acordo com a Declaração de Helsinki de 1975, atualizada em 2013. O consentimento informado foi obtido de todos os participantes incluídos no estudo.</p></fn>
<fn fn-type="other" id="fn8"><label>Uso de Inteligência Artificial</label>
<p>Os autores não utilizaram ferramentas de inteligência artificial no desenvolvimento deste trabalho.</p></fn>
</fn-group>
<sec sec-type="data-availability" specific-use="data-in-article">
<label>Disponibilidade de Dados</label>
<p>Os conteúdos subjacentes ao texto da pesquisa estão contidos no manuscrito.</p>
</sec>
<ack>
<title>Agradecimentos</title>
<p>A todos os profissionais que responderam ao questionário e às equipes do DIC e da SPR que apoiaram a iniciativa.</p>
</ack>
<sec sec-type="supplementary-material" id="sec2">
<title>*Material suplementar</title>
<supplementary-material id="suppl2">
<media mimetype="application" mime-subtype="pdf" xlink:href="2675-312X-abcic-38-03-e20250053-suppl1.pdf"/>
<p>Para informação adicional, por favor, <ext-link ext-link-type="uri" xlink:href="http://abcimaging.org/supplementary-material/2025/3803/ABCImag_2025-0053_AO_Material-Suplementar_Censo-Saude-Suplementar.pdf">clique aqui</ext-link>.</p>
</supplementary-material>
</sec>
</back>
</sub-article>
</article>