Additional cardiac investigation prior to the introduction of the CAD-RADS classification in coronary computed tomography angiography reports

Guerreiro, S; Ferreira, António Miguel; Abecasis, João; Saraiva, Carla; Dores, Hélder; Cardoso, Gonçalo; Santos, Ana Coutinho; Castro, Mariana; Mendes, Miguel

doi:10.1016/j.repc.2018.05.014

Cited by 11 publications

(5 citation statements)

References 17 publications

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“…As a result, non-invasive examinations may be the most convenient to identify intermediate lesions. 20 Applying CAD-RADS-guided specific recommendations into clinical practice may assist in reducing over-referral for ICA and promoting further suitable follow-up treatment for cases having CAD. This fact is crucial in stable patients with intermediate lesions (CAD-RADS 3) since significant rates of early ICA were found in these patients immediately after CCTA and probably before appropriate therapeutic trials.…”

Section: Discussionmentioning

confidence: 99%

Validation of Coronary Artery Disease Reporting and Data System (CAD-RADS) and Application of Coronary Artery Calcium Data and Reporting System (CAC-DRS) as New Standardized Tools in the Management of Coronary Artery Disease Patients

Ebaid

Khalifa

Ragheb

et al. 2021

IJGM

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Section: Discussionmentioning

confidence: 99%

Validation of Coronary Artery Disease Reporting and Data System (CAD-RADS) and Application of Coronary Artery Calcium Data and Reporting System (CAC-DRS) as New Standardized Tools in the Management of Coronary Artery Disease Patients

Ebaid

Khalifa

Ragheb

et al. 2021

IJGM

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“…Most of the related complications are mild, but even in the absence of severe CAD, critical complications may also occur. So, the non-invasive investigation may be the most convenient method for the detection of intermediate lesions [26]. Integrating CAD-RADS-guided recommendations into clinical practice may help to reduce much-referral for ICA and encourage further appropriate follow-up care for patients undergoing a diagnostic workup of CAD.…”

Section: Discussionmentioning

confidence: 99%

The validity and applicability of CAD-RADS in the management of patients with coronary artery disease

et al. 2019

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Background: The coronary artery disease reporting and data system (CAD-RADS) is designed for a uniform standardization of coronary computed tomography angiography (CCTA) reporting and further management recommendations of coronary artery disease (CAD). This study aimed to assess clinical validity, applicability, and reproducibility of CAD-RADS in the management of patients with CAD. Methods and results:A single-center prospective study included 287 patients with clinically suspected or operated CAD who underwent CCTA. Four reviewers evaluated the CCTA images independently and assigned a CAD-RADS category to each patient. The invasive coronary angiography (ICA) was used as the reference standard for calculating diagnostic performance of CAD-RADS for categorizing the degree of coronary artery stenosis. The intra-class correlation (ICC) was used to test the inter-reviewer agreement (IRA). Reporting was provided to referring consultants according to the CAD-RADS. Based on ICA results, we have 156 patients with non-significant CAD and 131 patients with significant CAD. On a patient-based analysis, regarding those patients classified as CAD-RADS 4 and CAD-RADS 5 for predicting significant CAD, the CAD-RADS had a sensitivity, specificity, and an accuracy of 100%, 96.8 to 98.7%, and 98.3 to 99.3%, respectively, depending on the reviewer. There was an excellent IRA for CAD-RADS categories (ICC = 0.9862). The best cutoff value for predicting significant CAD was > CAD-RADS 3. Eightyseven percentage of referring consultants considered CAD-RADS reporting system to be "quite helpful" or "completely helpful" for clinical decision-making in CAD.Conclusion: CAD-RADS is valuable for improving CCTA structural reports and facilitating decision-making with high diagnostic accuracy and high reproducibility.

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“…8 However, coronary angiography is costly and invasive, and therefore better diagnostic methods are needed. 9 High-precision circulating biomarkers have emerged as a valid alternative for the diagnosis of several diseases. Combinations of biomarkers have been integrated using various methods in order to create diagnostic or prognostic tools in CAD.…”

Section: Introductionmentioning

confidence: 99%

“…20 Despite these advances, better diagnostic methods are still needed to detect CAD detection. 9 The purpose of the present study was to develop novel classifiers based on circulating biomarkers that may serve as diagnostic tools for CAD. We conducted a bioinformatic analysis of differentially expressed genes (DEGs) between CAD patients and healthy controls using data from the Gene Expression Omnibus (GEO) database.…”

mentioning

confidence: 99%

Classifiers for Predicting Coronary Artery Disease Based on Gene Expression Profiles in Peripheral Blood Mononuclear Cells

Liu

Wang

Lin

et al. 2021

IJGM

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Coronary artery disease (CAD) is a serious global health concern. Current diagnostic methods for CAD involve risk to the patient and are costly, so better diagnostic tools are needed. We defined four classifiers based on gene expression profiles in peripheral blood mononuclear cells and determined their potential for CAD detection. Methods: We downloaded a CAD-related data set (GSE113079) from the Gene Expression Omnibus (GEO) database. We identified differentially expressed genes (DEGs) in peripheral blood mononuclear cells between CAD samples and healthy controls. DEGs were analyzed for functional enrichment. To create a robust CAD classifier, DEGs were identified by feature selection using the principal component analysis. Then, least absolute shrinkage and selection operator (LASSO) logistic regression, random forest, and support vector machine (SVM) models were created. Gene set variation analysis (GSVA) score and gene set enrichment analysis (GSEA) were also conducted. The performance of the models was evaluated in terms of the area under receiver operating characteristic curves (AUC). Results: In the training set, we found 135 up-regulated genes and 104 down-regulated genes in CAD patients compared with controls. The DEGs were involved in some pathways associated with CAD, such as pathways involving calcium and interleukin-17 signaling. Twenty genes were identified as optimal features and used to generate the logistic classifier based on LASSO. The AUC for the classifier was 1.00 in the training set and 0.997 in the test set. Using the 20 DEGs, SVM and random forest classifiers were also generated and showed high diagnostic efficacy, with respective AUCs of 0.997 and 1.00 against the training set. A GSVA score was also established using the top 20 significant DEGs, which showed an AUC of 0.971 in the training set and 0.989 in the test set. Furthermore, GSEA showed autophagy and the proteasome to be major pathways involving the DEGs. Conclusion:We identified a set of genes specific for CAD whose expression can be measured non-invasively. Using these genes, we defined four diagnostic classifiers using multiple methods.

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Additional cardiac investigation prior to the introduction of the CAD-RADS classification in coronary computed tomography angiography reports

Cited by 11 publications

References 17 publications

Validation of Coronary Artery Disease Reporting and Data System (CAD-RADS) and Application of Coronary Artery Calcium Data and Reporting System (CAC-DRS) as New Standardized Tools in the Management of Coronary Artery Disease Patients

Validation of Coronary Artery Disease Reporting and Data System (CAD-RADS) and Application of Coronary Artery Calcium Data and Reporting System (CAC-DRS) as New Standardized Tools in the Management of Coronary Artery Disease Patients

The validity and applicability of CAD-RADS in the management of patients with coronary artery disease

Classifiers for Predicting Coronary Artery Disease Based on Gene Expression Profiles in Peripheral Blood Mononuclear Cells

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