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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">ijcs</journal-id>
      <journal-title-group>
        <journal-title>International Journal of Cardiovascular Sciences</journal-title>
        <abbrev-journal-title abbrev-type="publisher">Int. J. Cardiovasc. Sci.</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="ppub">2359-4802</issn>
      <issn pub-type="epub">2359-5647</issn>
      <publisher>
        <publisher-name>Sociedade Brasileira de Cardiologia</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id" specific-use="scielo-v3">gxxQJmQZ5jQ583B4wHzBBkt</article-id>
      <article-id pub-id-type="publisher-id" specific-use="scielo-v2">S2359-56472020000100087</article-id>
      <article-id pub-id-type="doi">10.36660/ijcs.20190207</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>REVIEW ARTICLE</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Molecular Imaging in the Diagnosis of Infectious Endocarditis - the Role of PET and SPECT</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-0810-6494</contrib-id>
          <name>
            <surname>Albano</surname>
            <given-names>Domenico</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
          <xref ref-type="corresp" rid="c1"/>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-2980-5964</contrib-id>
          <name>
            <surname>Bertagna</surname>
            <given-names>Francesco</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-4275-2799</contrib-id>
          <name>
            <surname>Giubbini</surname>
            <given-names>Raffaele</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
        </contrib>
        <aff id="aff1">
          <institution content-type="orgname">ASSTSpedali Civili di Brescia</institution>
          <addr-line>
            <city>Brescia</city>
            <state>Lombardia</state>
          </addr-line>
          <country country="IT">Italy</country>
          <institution content-type="original">ASSTSpedali Civili di Brescia, Brescia, Lombardia - Italy</institution>
        </aff>
      </contrib-group>
      <author-notes>
        <corresp id="c1"><bold>Mailing Address: Domenico Albano</bold> ASST Spedali Civili di Brescia - Nuclear Medicine - Piazzale Spedali Civili, 1. Postal Code: 25125 Brescia, Lombardia - Italy E-mail: <email>doalba87@libero.it</email>
				</corresp>
        <fn fn-type="con">
          <p>
            <bold>Author contributions</bold>
          </p>
          <p>Conception and design of the research: Bertagna F, Giubbini R. Acquisition of data: Albano D. Analysis and interpretation of the data: Albano D, Bertagna F, Giubbini R. Statistical analysis: Albano D. Writing of the manuscript: Albano D. Critical revision of the manuscript for intellectual content: Albano D, Bertagna F, Giubbini R.</p>
        </fn>
        <fn fn-type="conflict">
          <p>
            <bold>Potential Conflict of Interest</bold>
          </p>
          <p>No potential conflict of interest relevant to this article was reported.</p>
        </fn>
      </author-notes>
      <pub-date date-type="pub" publication-format="electronic">
        <day>17</day>
        <month>02</month>
        <year>2020</year>
      </pub-date>
      <pub-date date-type="collection" publication-format="electronic">
        <season>Jan-Feb</season>
        <year>2020</year>
      </pub-date>
      <volume>33</volume>
      <issue>1</issue>
      <fpage>87</fpage>
      <lpage>93</lpage>
      <history>
        <date date-type="received">
          <day>06</day>
          <month>11</month>
          <year>2019</year>
        </date>
        <date date-type="rev-recd">
          <day>06</day>
          <month>11</month>
          <year>2019</year>
        </date>
        <date date-type="accepted">
          <day>09</day>
          <month>12</month>
          <year>2019</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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
        </license>
      </permissions>
      <abstract>
        <title>Abstract</title>
        <p>18-fluorine-fluorodeoxyglucose positron emission computed tomography (18F-FDG PET/CT) and singlephoton emission computed tomography (SPECT) using radiolabeled white blood cells (WBC) are non-invasive techniques widely used in the diagnosis of infections, like endocarditis. The aim of our paper was to provide a systematic review of the published data on the use of 18F-FDG PET/CT and SPECT in infective endocarditis (IE). A comprehensive literature search of the PubMed/ MEDLINE, Scopus, Embase and Cochrane library databases was conducted to find relevant published articles about the diagnostic performance of SPECT using WBC and 18F-FDG PET/CT in the diagnosis of infectious endocarditis. Twenty papers were included, with a total of 1,154 patients (166 studies with WBC SPECT and 988 with 18F-FDG PET/CT). From the analyses of the studies, the following results were obtained: both SPECT and PET/CT had good diagnostic accuracy in the study of endocarditis. 18F-FDG PET/CT had good specificity (85.8%) and lower sensitivity (68%), with high heterogeneity among the studies; WBC SPECT/ CT had an overall sensitivity of 80% and specificity of 98%. Specific preparations for PET/CT can affect the diagnostic accuracy of the test. Both 18F-FDG PET/CT and WBC SPECT are useful for the diagnosis of IE, and WBC SPECT appears to be slightly more specific than 18F-FDG PET/CT. A specific diet could influence the diagnostic performance of PET/CT.</p>
      </abstract>
      <kwd-group xml:lang="en">
        <title>Keywords</title>
        <kwd>Endocarditis,Infectious/ diagnostic imaging</kwd>
        <kwd>Positron Emission Tomography Computed/methods</kwd>
        <kwd>Positron Emission Tomography Computed Tomography/ methods</kwd>
        <kwd>Radiommunodetect/ methods</kwd>
        <kwd>Leukocytes</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="intro">
      <title>Introduction</title>
      <p>Infectious endocarditis (IE) is a serious, potentially life-threatening condition, and a challenge for clinicians due to difficulties in its diagnosis.<xref ref-type="bibr" rid="B1">1</xref><sup>,</sup><xref ref-type="bibr" rid="B2">2</xref> The current diagnostic approach often revolves around the modified Duke criteria, which are composed of a composite of clinical criteria, blood cultures and echocardiographic findings,<xref ref-type="bibr" rid="B3">3</xref> but cases of uncertain diagnosis are still significant.</p>
      <p>Cardiac infections include a group of conditions involving the heart muscle, the pericardium or the endocardial surface of the heart. Infections can extend to the prosthetic material or the leads in case of device implantation. The heterogeneity of clinical presentations requires, besides the diagnostic criteria, a discussion by a multidisciplinary team.</p>
      <p>IE is a representative example where the use of nuclear medicine has evolved as an important diagnostic tool.<xref ref-type="bibr" rid="B4">4</xref><sup>,</sup><xref ref-type="bibr" rid="B5">5</xref>
			</p>
      <p>Single photon emission computed tomography (SPECT) using radiolabelled white blood cell (WBC) and fluorine-18-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) have been widely used in the diagnosis of infections and in IE, with controversial findings.</p>
      <p>The aim of this review is to provide a systematic review of published data about the role of WBC SPECT and 18F-FDG PET/CT in the diagnostic work-up of patients with IE.</p>
    </sec>
    <sec sec-type="materials|methods">
      <title>Materials and Methods</title>
      <p>The present meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Metaanalyses (PRISMA) statement (see supplementary material for PRISMA Checklist).<xref ref-type="bibr" rid="B6">6</xref>
			</p>
      <sec>
        <title>Search strategy</title>
        <p>A comprehensive literature search of the PubMed/ MEDLINE, Scopus, Embase and Cochrane library databases was conducted to find relevant published articles about the diagnostic accuracy of WBC SPECT and 18F-FDG PET/CT in patients affected by IE. We used a search algorithm based on a combination of the terms: a) "SPECT" OR &#8220;Single-photon emission computed tomography" OR &#8220;WBC" OR &#8220;radiolabeled leukocytes" OR &#8220;PET" OR &#8220;positron emission tomography" AND b) &#8220;endocarditis" OR &#8220;heart infection". No beginning date limit was used; the search was updated until August 31, 2019. Only articles in the English language were selected; pre-clinical or not in vivo studies, review, letters, editorials and conference proceedings were excluded. To expand our search, references of the retrieved articles were also screened for additional studies. Studies considering cardiovascular implantable electronic device infections were excluded by this review. All literature studies collected were managed using EndNote Web 3.3.</p>
      </sec>
      <sec>
        <title>Study selection</title>
        <p>All articles reporting patients with IE evaluated by WBC SPECT and 18F-FDG PET/CT in clinical setting were eligible for inclusion. Two researchers (DA and FB) independently reviewed the titles and abstracts of the retrieved articles. The same two researchers then independently reviewed the full-text version of the remaining articles to determine their eligibility for inclusion. Disagreements were resolved by a third opinion (RG). Moreover, in case of studies that included the same population, the report with the highest number of enrolled patients was considered for the analysis.</p>
      </sec>
      <sec>
        <title>Data abstraction</title>
        <p>For each included study, the following data were extracted - authors' names, year of publication, type of study, number of patients, diagnostic test, diagnostic criteria, reference standard, diagnostic performance. The main findings of the articles included in the review are reported in the Results section.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <sec>
        <title>Literature search</title>
        <p>The comprehensive computer literature search revealed 665 articles (<xref ref-type="fig" rid="f1">Figure 1</xref>). On reviewing the titles and abstracts, 645 articles were excluded because the data reported data were not within the field of interest of this review. Twenty articles were selected and retrieved in full-text version<xref ref-type="bibr" rid="B7">7</xref><sup>-</sup><xref ref-type="bibr" rid="B25">25</xref>; no additional study was found when screening the references of these articles. In total, 20 articles were included in the systematic review, four about WBC SPECT<xref ref-type="bibr" rid="B7">7</xref><sup>-</sup><xref ref-type="bibr" rid="B10">10</xref> and 16 about 18F-FDG PET/CT<xref ref-type="bibr" rid="B11">11</xref><sup>-</sup><xref ref-type="bibr" rid="B25">25</xref>
				</p>
        <fig id="f1">
          <label>Figure 1</label>
          <caption>
            <title>Flow-chart of the search strategy.</title>
          </caption>
          <graphic xlink:href="2359-5647-ijcs-33-01-0087-90207-gf01.jpg"/></fig>
        <sec>
          <title>Qualitative analysis</title>
          <p>Characteristics of the studies are detailed in <xref ref-type="table" rid="t1">Tables 1</xref> and <xref ref-type="table" rid="t2">2</xref>. The IE group included 16 [18F] FDG PET/CT (overall 988 patients) and four SPECT/CT studies (overall 166 patients). Among the PET/CT studies, seven analyzed only prosthetic valve endocarditis (PVE),<xref ref-type="bibr" rid="B9">9</xref><sup>,</sup><xref ref-type="bibr" rid="B13">13</xref><sup>,</sup><xref ref-type="bibr" rid="B15">15</xref><sup>,</sup><xref ref-type="bibr" rid="B16">16</xref><sup>,</sup><xref ref-type="bibr" rid="B19">19</xref><sup>-</sup><xref ref-type="bibr" rid="B21">21</xref> two only native valve endocarditis (NVE),<xref ref-type="bibr" rid="B11">11</xref><sup>,</sup><xref ref-type="bibr" rid="B23">23</xref> and the remaining seven analyzed a mixed population or the type of endocarditis was not reported.<xref ref-type="bibr" rid="B12">12</xref><sup>,</sup><xref ref-type="bibr" rid="B14">14</xref><sup>,</sup><xref ref-type="bibr" rid="B17">17</xref><sup>,</sup><xref ref-type="bibr" rid="B18">18</xref><sup>,</sup><xref ref-type="bibr" rid="B22">22</xref><sup>,</sup><xref ref-type="bibr" rid="B24">24</xref><sup>,</sup><xref ref-type="bibr" rid="B25">25</xref> Among SPECT studies, two included only PVE,<xref ref-type="bibr" rid="B8">8</xref><sup>,</sup><xref ref-type="bibr" rid="B9">9</xref> and the remaining two papers included both NVE and PVE.<xref ref-type="bibr" rid="B7">7</xref><sup>,</sup><xref ref-type="bibr" rid="B10">10</xref> In only one paper,<xref ref-type="bibr" rid="B9">9</xref> both SPECT and PET/CT techniques were used to study IE.</p>
          <table-wrap id="t1">
            <label>Table 1</label>
            <caption>
              <title>Characteristics of the studies on single photon emission computed tomography using radiolabelled white blood cell and infectious endocarditis</title>
            </caption>
            <table frame="hsides" rules="groups">
              <colgroup>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
              </colgroup>
              <thead>
                <tr>
                  <th align="left" style="background-color:#C6C6C5">Author</th>
                  <th align="center" style="background-color:#C6C6C5">Year</th>
                  <th align="center" style="background-color:#C6C6C5">Design study</th>
                  <th align="center" style="background-color:#C6C6C5">N pts</th>
                  <th align="center" style="background-color:#C6C6C5">Clinical setting</th>
                  <th align="center" style="background-color:#C6C6C5">Sensitivity</th>
                  <th align="center" style="background-color:#C6C6C5">Specificity</th>
                  <th align="center" style="background-color:#C6C6C5">Accuracy</th>
                  <th align="center" style="background-color:#C6C6C5">Diagnostic criteria</th>
                  <th align="center" style="background-color:#C6C6C5">Reference standard</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td align="left">Erba et al.</td>
                  <td align="center">2012</td>
                  <td align="center">Retrospective</td>
                  <td align="center">51</td>
                  <td align="center">16 NVE, 35 PVE</td>
                  <td align="center">90%</td>
                  <td align="center">nr</td>
                  <td align="center">90%</td>
                  <td align="center">Visual analysis</td>
                  <td align="center">Microbiological analysis or clinical follow-up</td>
                </tr>
                <tr>
                  <td align="left">Hyafil et al.</td>
                  <td align="center">2013</td>
                  <td align="center">Retrospective</td>
                  <td align="center">42</td>
                  <td align="center">42 PVE</td>
                  <td align="center">nr</td>
                  <td align="center">100%</td>
                  <td align="center">nr</td>
                  <td align="center">Visual analysis</td>
                  <td align="center">Pre-operative macroscopic analysis and bacteriological analysis + clinical follow-up</td>
                </tr>
                <tr>
                  <td align="left">Rouzet et al.</td>
                  <td align="center">2014</td>
                  <td align="center">Retrospective</td>
                  <td align="center">39</td>
                  <td align="center">39 PVE</td>
                  <td align="center">65%</td>
                  <td align="center">100%</td>
                  <td align="center">86%</td>
                  <td align="center">Visual and semiquantitative analysis</td>
                  <td align="center">Combination of modified Duke criteria and clinical follow-up</td>
                </tr>
                <tr>
                  <td align="left">Caobelli et al.</td>
                  <td align="center">2017</td>
                  <td align="center">Retrospective</td>
                  <td align="center">34</td>
                  <td align="center">12 NVE, 22 PVE</td>
                  <td align="center">86%</td>
                  <td align="center">95%</td>
                  <td align="center">91%</td>
                  <td align="center">Visual analysis</td>
                  <td align="center">Microbiological analysis + combination of modified Duke criteria and clinical follow-up</td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="TFN1">
                <p>NVE: native valve endocarditis; PVE: prosthetic valve endocarditis; nr: not reported.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
          <table-wrap id="t2">
            <label>Table 2</label>
            <caption>
              <title>Characteristics of the studies on fluorine-18-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) and infectious endocarditis</title>
            </caption>
            <table frame="hsides" rules="groups">
              <colgroup>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
              </colgroup>
              <thead>
                <tr>
                  <th align="left" style="background-color:#C6C6C5">Author</th>
                  <th align="center" style="background-color:#C6C6C5">Year</th>
                  <th align="center" style="background-color:#C6C6C5">Design <break/> study</th>
                  <th align="center" style="background-color:#C6C6C5">N pts</th>
                  <th align="center" style="background-color:#C6C6C5">Clinical setting</th>
                  <th align="center" style="background-color:#C6C6C5">Sensitivity</th>
                  <th align="center" style="background-color:#C6C6C5">Specificity</th>
                  <th align="center" style="background-color:#C6C6C5">Accuracy</th>
                  <th align="center" style="background-color:#C6C6C5">Diagnostic criteria</th>
                  <th align="center" style="background-color:#C6C6C5">Reference standard</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td align="left">Van Riet et al.</td>
                  <td align="center">2010</td>
                  <td align="center">Prospective</td>
                  <td align="center">25</td>
                  <td align="center">25 NVE</td>
                  <td align="center">12%</td>
                  <td align="center">100%</td>
                  <td align="center">18%</td>
                  <td align="center">Visual analysis</td>
                  <td align="center">Clinical follow-up</td>
                </tr>
                <tr>
                  <td align="left">Ozcan et al.</td>
                  <td align="center">2013</td>
                  <td align="center">Retrospective</td>
                  <td align="center">72</td>
                  <td align="center">12 PVE, 52 NVE</td>
                  <td align="center">18%</td>
                  <td align="center">nr</td>
                  <td align="center">18%</td>
                  <td align="center">Visual analysis</td>
                  <td align="center">Clinical follow-up</td>
                </tr>
                <tr>
                  <td align="left">Saby et al.</td>
                  <td align="center">2013</td>
                  <td align="center">Prospective</td>
                  <td align="center">72</td>
                  <td align="center">72 PVE</td>
                  <td align="center">73%</td>
                  <td align="center">80%</td>
                  <td align="center">76%</td>
                  <td align="center">Visual analysis <break/> (AC and NAC)</td>
                  <td align="center">Modified Duke criteria and clinical follow-up</td>
                </tr>
                <tr>
                  <td align="left">Kouijzer et al.</td>
                  <td align="center">2013</td>
                  <td align="center">Prospective</td>
                  <td align="center">72</td>
                  <td align="center">nr</td>
                  <td align="center">39%</td>
                  <td align="center">93%</td>
                  <td align="center">nr</td>
                  <td align="center">Visual analysis</td>
                  <td align="center">Modified Duke criteria</td>
                </tr>
                <tr>
                  <td align="left">Rouzet et al.</td>
                  <td align="center">2014</td>
                  <td align="center">Retrospective</td>
                  <td align="center">39</td>
                  <td align="center">39 PVE</td>
                  <td align="center">93%</td>
                  <td align="center">71%</td>
                  <td align="center">80%</td>
                  <td align="center">Visual (AC and NAC) and semiquantitative analysis</td>
                  <td align="center">Modified Duke criteria and clinical follow-up</td>
                </tr>
                <tr>
                  <td align="left">Ricciardi et al.</td>
                  <td align="center">2014</td>
                  <td align="center">Retrospective</td>
                  <td align="center">27</td>
                  <td align="center">27 PVE</td>
                  <td align="center">55%</td>
                  <td align="center">100%</td>
                  <td align="center">nr</td>
                  <td align="center">Visual (AC and NAC) and semiquantitative analysis</td>
                  <td align="center">Modified Duke criteria and clinical/ microbiological follow-up</td>
                </tr>
                <tr>
                  <td align="left">Pizzi et al.</td>
                  <td align="center">2015</td>
                  <td align="center">Prospective</td>
                  <td align="center">92</td>
                  <td align="center">92 PVE</td>
                  <td align="center">87%</td>
                  <td align="center">92%</td>
                  <td align="center">nr</td>
                  <td align="center">Visual (AC and NAC) and semiquantitative analysis</td>
                  <td align="center">Modified Duke criteria and clinical follow-up</td>
                </tr>
                <tr>
                  <td align="left">Jimenez-Ballv&#232; et al.</td>
                  <td align="center">2016</td>
                  <td align="center">Prospective</td>
                  <td align="center">41</td>
                  <td align="center">39 PVE, 2 NVE</td>
                  <td align="center">88%</td>
                  <td align="center">79%</td>
                  <td align="center">85%</td>
                  <td align="center">Visual (AC and NAC) </td>
                  <td align="center">Modified Duke criteria and clinical/ microbiological follow-up</td>
                </tr>
                <tr>
                  <td align="left">Granados et al.</td>
                  <td align="center">2016</td>
                  <td align="center">Prospective</td>
                  <td align="center">51</td>
                  <td align="center">29 PVE, 21 NVE</td>
                  <td align="center">82%</td>
                  <td align="center">96%</td>
                  <td align="center">nr</td>
                  <td align="center">Visual (AC and NAC) analysis </td>
                  <td align="center">Clinical, imaging and microbiological follow-up</td>
                </tr>
                <tr>
                  <td align="left">Fagman et al.</td>
                  <td align="center">2016</td>
                  <td align="center">Retrospective</td>
                  <td align="center">30</td>
                  <td align="center">30 PVE</td>
                  <td align="center">75%</td>
                  <td align="center">86%</td>
                  <td align="center">83%</td>
                  <td align="center">Visual (AC and NAC) and semiquantitative analysis</td>
                  <td align="center">Modified Duke criteria and clinical/ microbiological follow-up</td>
                </tr>
                <tr>
                  <td align="left">Guenther et al.</td>
                  <td align="center">2017</td>
                  <td align="center">Retrospective</td>
                  <td align="center">26</td>
                  <td align="center">26 PVE</td>
                  <td align="center">94%</td>
                  <td align="center">29%</td>
                  <td align="center">76%</td>
                  <td align="center">Visual and semiquantitative analysis</td>
                  <td align="center">Modified Duke criteria and clinical follow-up</td>
                </tr>
                <tr>
                  <td align="left">Salomaki et al.</td>
                  <td align="center">2017</td>
                  <td align="center">Prospective</td>
                  <td align="center">23</td>
                  <td align="center">16 PVE, 7 NVE</td>
                  <td align="center">100%</td>
                  <td align="center">71%</td>
                  <td align="center">91%</td>
                  <td align="center">Visual (AC and NAC) and semiquantitative analysis</td>
                  <td align="center">Modified Duke criteria and clinical/ microbiological follow-up</td>
                </tr>
                <tr>
                  <td align="left">Kouijzer et al.</td>
                  <td align="center">2018</td>
                  <td align="center">Retrospective</td>
                  <td align="center">88</td>
                  <td align="center">88 NVE</td>
                  <td align="center">45%</td>
                  <td align="center">100%</td>
                  <td align="center">87.5%</td>
                  <td align="center">Visual (AC and NAC) analysis </td>
                  <td align="center">Modified Duke criteria and clinical/ microbiological follow-up</td>
                </tr>
                <tr>
                  <td align="left">de Camargo et al.</td>
                  <td align="center">2019</td>
                  <td align="center">Prospective</td>
                  <td align="center">303</td>
                  <td align="center">188 PVE, 115 NVE</td>
                  <td align="center">93% PVE70% NVE</td>
                  <td align="center">90% PVE93% NVE</td>
                  <td align="center">91% PVE69% NVE</td>
                  <td align="center">Visual (AC and NAC) and semiquantitative analysis</td>
                  <td align="center">Modified Duke criteria</td>
                </tr>
                <tr>
                  <td align="left">El-Dalati et al.</td>
                  <td align="center">2019</td>
                  <td align="center">Retrospective</td>
                  <td align="center">14</td>
                  <td align="center">8 PVE, 6 NVE</td>
                  <td align="center">nr</td>
                  <td align="center">100%</td>
                  <td align="center">nr</td>
                  <td align="center">Visual (AC and NAC) and semiquantitative analysis</td>
                  <td align="center">Histological diagnosis</td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
          <p>The pooled sensitivity of 18F-FDG PET/CT was 68% (95% CI 55-87), with a high heterogeneity (I2 = 94%, p &lt; 0.001), whereas pooled sensitivity of WBC SPECT was 80% (95% CI 67-94) with a lower heterogeneity (I2=75%, p = 0.017). The pooled specificity of 18F-FDG PET/ CT was 86.8% (95% CI 82-95) with a high heterogeneity (I2 = 86%, p &lt; 0.001), whereas WBC SPECT showed a pooled specificity of 98% (95% CI 94-100) with no heterogeneity (I2 = 0%, p = 0.625). In a sub-analysis, pooled sensitivity of 18F-FDG PET/CT and WBC SPECT for NVE was 71% (95% CI 49-93) with a high heterogeneity (I2 = 95%, p &lt; 0.001), while pooled sensitivity for PVE was 81% (95% CI 78-93) with a significant heterogeneity (I2 = 67%, p &lt; 0.001). Pooled specificity of 18F-FDG PET/ CT and WBC SPECT for NVE was 96% (95% CI 93-100) with a low heterogeneity (I2 = 52%, p = 0.016), while pooled specificity for PVE was 92% (95% CI 86-96) with a significant heterogeneity (I2 = 79%, p &lt; 0.001).</p>
          <p>Of 17 manuscripts considering the diagnostic performance of 18F-FDG PET/CT, 11 showed specific preparation before PET/CT scan [9,13,15-18,21-25] and five did not.<xref ref-type="bibr" rid="B11">11</xref><sup>,</sup><xref ref-type="bibr" rid="B12">12</xref><sup>,</sup><xref ref-type="bibr" rid="B14">14</xref><sup>,</sup><xref ref-type="bibr" rid="B19">19</xref><sup>,</sup><xref ref-type="bibr" rid="B20">20</xref> In six studies,<xref ref-type="bibr" rid="B9">9</xref><sup>,</sup><xref ref-type="bibr" rid="B13">13</xref><sup>,</sup><xref ref-type="bibr" rid="B21">21</xref><sup>-</sup><xref ref-type="bibr" rid="B24">24</xref> participants underwent dietary preparation to promote myocardial suppression (high-fat, low-carbohydrate diet), without heparin injection; in two studied only heparin injection was suggested;<xref ref-type="bibr" rid="B16">16</xref><sup>,</sup><xref ref-type="bibr" rid="B18">18</xref> in the remaining three works,<xref ref-type="bibr" rid="B15">15</xref><sup>,</sup><xref ref-type="bibr" rid="B17">17</xref><sup>,</sup><xref ref-type="bibr" rid="B25">25</xref> both myocardial suppression and heparin injection were done. Despite this, there was strong heterogeneity in preparation for PET/CT, with different time of fasting or diet for myocardial suppression (<xref ref-type="table" rid="t3">Table 3</xref>). Pooled sensitivity of PET/CT was 47% (95% CI 18-81) in patients without specific protocol and 78% (95% CI 45-99) in patients who performed specific preparation (myocardial suppression diet and/or heparin injection).</p>
          <table-wrap id="t3">
            <label>Table 3</label>
            <caption>
              <title>Preparations for fluorine-18-fluorodeoxyglucose positron emission tomography/computed tomography described in the studies included in the review</title>
            </caption>
            <table frame="hsides" rules="groups">
              <colgroup>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
                <col width="60%"/>
              </colgroup>
              <thead>
                <tr>
                  <th align="left" style="background-color:#C6C6C5">Author</th>
                  <th align="center" style="background-color:#C6C6C5">N pts</th>
                  <th align="center" style="background-color:#C6C6C5">Diet</th>
                  <th align="center" style="background-color:#C6C6C5">Heparin</th>
                  <th align="center" style="background-color:#C6C6C5">Specific preparation</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td align="left">Van Riet et al.</td>
                  <td align="center">25</td>
                  <td align="center">no</td>
                  <td align="center">no</td>
                  <td align="center">4-hour fasting</td>
                </tr>
                <tr>
                  <td align="left">Ozcan et al.</td>
                  <td align="center">72</td>
                  <td align="center">no</td>
                  <td align="center">no</td>
                  <td align="center">6-hour fasting (4-hour for diabetic patients)</td>
                </tr>
                <tr>
                  <td align="left">Saby et al.</td>
                  <td align="center">72</td>
                  <td align="center">yes</td>
                  <td align="center">no</td>
                  <td align="center">HFLW (only one meal) diet, 12-hour fasting</td>
                </tr>
                <tr>
                  <td align="left">Kouijzer et al.</td>
                  <td align="center">72</td>
                  <td align="center">no</td>
                  <td align="center">no</td>
                  <td align="center">6-hour fasting</td>
                </tr>
                <tr>
                  <td align="left">Rouzet et al.</td>
                  <td align="center">39</td>
                  <td align="center">yes</td>
                  <td align="center">no</td>
                  <td align="center">HFLW (only one meal) diet, 12-hour fasting</td>
                </tr>
                <tr>
                  <td align="left">Ricciardi et al.</td>
                  <td align="center">27</td>
                  <td align="center">yes</td>
                  <td align="center">yes</td>
                  <td align="center">HFLW diet, 6-hour fasting</td>
                </tr>
                <tr>
                  <td align="left">Pizzi et al.</td>
                  <td align="center">92</td>
                  <td align="center">no</td>
                  <td align="center">yes</td>
                  <td align="center">12-hour fasting, 50 IU/Kg heparin bolus 15 min before FDG</td>
                </tr>
                <tr>
                  <td align="left">Jimenez-Ballv&#232; et al.</td>
                  <td align="center">41</td>
                  <td align="center">yes</td>
                  <td align="center">yes</td>
                  <td align="center">48-hours HFLC diet, 12-hour fasting, 50 IU/Kg heparin bolus 15 min before FDG</td>
                </tr>
                <tr>
                  <td align="left">Granados et al.</td>
                  <td align="center">51</td>
                  <td align="center">no</td>
                  <td align="center">yes</td>
                  <td align="center">12-hour fasting, 50 IU/Kg heparin bolus 15 min before FDG</td>
                </tr>
                <tr>
                  <td align="left">Fagman et al.</td>
                  <td align="center">30</td>
                  <td align="center">no</td>
                  <td align="center">no</td>
                  <td align="center">18-hour fasting</td>
                </tr>
                <tr>
                  <td align="left">Kokalova et al.</td>
                  <td align="center">13</td>
                  <td align="center">no</td>
                  <td align="center">no</td>
                  <td align="center">6-hour fasting</td>
                </tr>
                <tr>
                  <td align="left">Guenther et al.</td>
                  <td align="center">26</td>
                  <td align="center">yes</td>
                  <td align="center">no</td>
                  <td align="center">HFLW diet, 12-hour fasting</td>
                </tr>
                <tr>
                  <td align="left">Salomaki et al.</td>
                  <td align="center">23</td>
                  <td align="center">yes</td>
                  <td align="center">no</td>
                  <td align="center">24-hour HFLW diet, 10-hour fasting</td>
                </tr>
                <tr>
                  <td align="left">Kouijzer et al.</td>
                  <td align="center">88</td>
                  <td align="center">yes</td>
                  <td align="center">no</td>
                  <td align="center">24-hour HFLW diet, 6-hour fasting</td>
                </tr>
                <tr>
                  <td align="left">de Camargo et al.</td>
                  <td align="center">303</td>
                  <td align="center">yes</td>
                  <td align="center">no</td>
                  <td align="center">24-hour HFLW diet, 8-hour fasting</td>
                </tr>
                <tr>
                  <td align="left">El-Dalati et al.</td>
                  <td align="center">14</td>
                  <td align="center">yes</td>
                  <td align="center">yes</td>
                  <td align="center">36-hour HFLC diet, 30 IU/kg of heparin administered in three boluses (10 IU/kg) at 10 min before FDG and 5 and 20 min after FDG</td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="TFN2">
                <p>MS: myocardial suppression; HFLW: High-fat low-carbohydrate; NR: not reported.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
          <p>Pooled sensitivity of PET/CT was 76% (95% CI 64-88) and 72% (95% CI 46-99) in patients with and without specific preparation, indicating a high heterogeneity. Also, a pooled specificity of 93% (95% CI 70-100) was observed in the first group and 91% (95% CI 85-94) in the second group.</p>
        </sec>
      </sec>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <p>An accurate diagnosis of IE is critical for clinical decision making and represents a challenge for clinicians; in the latest update of the European Society of Cardiology Guideline,<xref ref-type="bibr" rid="B26">26</xref> nuclear medicine imaging was integrated in the diagnostic flow-chart of IE. Although blood cultures</p>
      <p>and echocardiography continue to play a crucial role in the diagnosis and the subsequent clinical management of IE, they have limitations, with a significant number of doubtful reports. Also, ultrasound may have difficulties to study prosthetic valves and inconclusive results have been reported in up to 30% of cases.<xref ref-type="bibr" rid="B27">27</xref>
			</p>
      <p>In this context, WBC SPECT and 18F-FDG PET/ CT studies have demonstrated a significant impact on the study of both PVE and NVE. In particular, in case of suspected PVE, abnormal 18F-FDG PET/CT and WBC SPECT/CT uptake should be considered as a pathological finding. In this systematic review we included 19 studies, with a total of 1,115 patients. Overall, 18F-FDG PET/CT had good specificity (86%) and low sensitivity (68%), with high heterogeneity among papers, while WBC SPECT had high specificity (98%) and good sensitivity (80%) but a small number of patients evaluated.</p>
      <p>Our results are similar to those reported in previous reviews and meta-analysis.<xref ref-type="bibr" rid="B4">4</xref><sup>,</sup><xref ref-type="bibr" rid="B5">5</xref>
			</p>
      <p>The 18F-FDG PET/CT has the advantage to be a whole-body study that allows the assessment of extracardiac sites of the disease, including clinically unsuspected distant foci, and more appropriate and timely intervention, including antibiotic therapy. In fact, whole-body 18F-FDG PET/CT leads to treatment modification in up to 35% of patients with IE.<xref ref-type="bibr" rid="B28">28</xref> Several factors, such as antimicrobial therapy, small vegetation size and elevated blood glucose level may impact the accuracy of PET/CT and increase the number of false negative findings. The difficulty to detect small vegetations is directly related to the resolution power of the PET/CT device (about 4-5 mm), which is aggravated in case of high FDG uptake in the surrounding myocardium.</p>
      <p>Physiological uptake of FDG is a common problem in the evaluation of heart infection; for this reason, preparation protocols before and/or after FDG injection were suggested, like dietary preparation for MS and heparin injection. However, different diets have been proposed in the literature, without consensus (<xref ref-type="table" rid="t3">Table 3</xref>). These MS protocols include patient preparation with the use of a low-carbohydrate and high-fat diet plus fasting for at least 6 hours, and use of heparin prior to imaging. Prolonged fasting and low-carbohydrate, high-fat diets lead to decreased insulin and blood glucose levels, and increased free fatty acid levels, reducing physiological FDG uptake. Heparin induces lipolysis and leads to an increase in free fatty acid levels.</p>
      <p>Another possible limitation affecting FDG evaluation of IE is the time between valve surgical procedure and PET/CT scan; PET/CT studies performed shortly after cardiac procedures can also be affected by the presence of inflammation foci near to the prostheses.</p>
      <p>Although 18F-FDG PET/CT is generally considered a method with higher accuracy than SPECT due to higher spatial resolution and detection efficiency, this was not observed in our results. In fact, in our analysis, both sensitivity and specificity of WBC SPECT were better than PET/CT. 18F-FDG PET/CT has several clear advantages over SPECT imaging such as the lack of blood handling, a shorter study time and high target-to-background ratio; however, a high specificity of 18F-FDG PET/CT requires specific protocols to increase diagnostic accuracy.<xref ref-type="bibr" rid="B29">29</xref><sup>,</sup><xref ref-type="bibr" rid="B30">30</xref>
			</p>
      <sec>
        <title>Limitation of the studies</title>
        <p>Several limitations affect the quality of our review on the role of SPECT and PET in IE such as the lack of multicenter studies, the low number of patients evaluated (also due to the rarity of this disease), and the heterogeneity of included papers. This heterogeneity arises from the diversity of patients' characteristics, methodological aspects, reference standards and global quality of the studies.</p>
      </sec>
    </sec>
    <sec sec-type="conclusions">
      <title>Conclusion</title>
      <p>Our findings support the utility of both WBC SPECT and 18F-FDGPET/CT as diagnostic tools in the study of IE, particularly in patients with prosthetic valve. Specific protocols including diet and/or heparin injection may improve the diagnostic performance of PET/CT.</p>
    </sec>
  </body>
  <back>
    <fn-group>
      <fn fn-type="financial-disclosure">
        <p>Sources of Funding</p>
        <p>There were no external funding sources for this study.</p>
      </fn>
      <fn fn-type="other">
        <p>Study Association</p>
        <p>This study is not associated with any thesis or dissertation work.</p>
      </fn>
      <fn fn-type="other">
        <p>Ethics approval and consent to participate</p>
        <p>This article does not contain any studies with human participants or animals performed by any of the authors.</p>
      </fn>
    </fn-group>
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