Radiation injuries – ABC CARDIOL

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Original Article

Cardiovascular Diseases in Oncological Patients Treated at a Tertiary Hospital in the Northern Macroregion of Rio Grande do Sul

Gabriel Amaral Lorencini et al. Renata dos Santos Rabello

ABSTRACT

Background:

Cancers (CAs) are related to cardiovascular diseases (CVDs), mainly due to the cardiotoxicity of oncological therapies (OTs).

Objectives:

Analyze and describe the CVDs that affect oncological patients (OPs) before and after the diagnosis of CA.

Methods:

This is a retrospective cohort study carried out with OPs from a Tertiary Hospital in the Northern Macroregion of Rio Grande do Sul, in which data was obtained from medical records dated between 2011 and 2020, which were analyzed using statistical techniques, mainly with the objective of determining the prevalence, incidence, and factors associated with CVDs.

Results:

The sample included 250 OPs distributed over 10 years. Regarding CVDs, prevalence and incidence were, respectively, 47.6% and 13.6%. It was noted the predominance, in the previous conditions, of systemic arterial hypertension (67.7%) and, in the incident disorders, of deep vein thrombosis (30.6%). The total incidence was associated with male sex (p=0.003), smoking (p=0.023) and metabolic (p=0.025) and pulmonary (p=0.047) comorbidities. The incidence after the start of OT was linked to radiotherapy (p=0.015) and chemotherapy (p=0.011), in particular, fluorouracil (p=0.025) and oxaliplatin (p=0.033).

Conclusions:

The relationship between CAs and CVDs has become clear, highlighting the importance of promoting the progress of cardio-oncology, especially with the aim of providing better therapeutic perspectives for OPs.

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Artigo Original

Subcutaneous Tissue Thickness is an Independent Predictor of Image Noise in Cardiac CT

Henrique Lane Staniak et al. Rodolfo Sharovsky Alexandre Costa Pereira Cláudio Campi de Castro … Isabela M. Benseñor Paulo A. Lotufo Márcio Sommer Bittencourt

Background:

Few data on the definition of simple robust parameters to predict image noise in cardiac computed tomography (CT) exist.

Objectives:

To evaluate the value of a simple measure of subcutaneous tissue as a predictor of image noise in cardiac CT.

Methods:

86 patients underwent prospective ECG-gated coronary computed tomographic angiography (CTA) and coronary calcium scoring (CAC) with 120 kV and 150 mA. The image quality was objectively measured by the image noise in the aorta in the cardiac CTA, and low noise was defined as noise < 30HU. The chest anteroposterior diameter and lateral width, the image noise in the aorta and the skin-sternum (SS) thickness were measured as predictors of cardiac CTA noise. The association of the predictors and image noise was performed by using Pearson correlation.

Results:

The mean radiation dose was 3.5 ± 1.5 mSv. The mean image noise in CT was 36.3 ± 8.5 HU, and the mean image noise in non-contrast scan was 17.7 ± 4.4 HU. All predictors were independently associated with cardiac CTA noise. The best predictors were SS thickness, with a correlation of 0.70 (p < 0.001), and noise in the non-contrast images, with a correlation of 0.73 (p < 0.001). When evaluating the ability to predict low image noise, the areas under the ROC curve for the non-contrast noise and for the SS thickness were 0.837 and 0.864, respectively.

Conclusion:

Both SS thickness and CAC noise are simple accurate predictors of cardiac CTA image noise. Those parameters can be incorporated in standard CT protocols to adequately adjust radiation exposure.

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Cardiovascular Diseases in Oncological Patients Treated at a Tertiary Hospital in the Northern Macroregion of Rio Grande do Sul

ABSTRACT

Background:

Objectives:

Methods:

Results:

Conclusions:

Subcutaneous Tissue Thickness is an Independent Predictor of Image Noise in Cardiac CT

Background:

Objectives:

Methods:

Results:

Conclusion:

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Electronic Document Format (Vancouver)

Electronic Document Format (ABNT)

Electronic Document Format (APA)

Electronic Document Format (ISO)