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Composite cardiac computed tomography angiography score for improved risk assessment in chronic coronary syndromes.
Sci Rep
January 2025
Cardiology, Vascular Medicine and Pneumology, GRN Hospital Weinheim, Weinheim, Germany.
Agatston score, the degree of lumen narrowing categorized by CAD-RADS, high-risk atherosclerotic plaque features and pericoronary adipose tissue attenuation (PCAT) are parameters, which can be assessed non-invasively by coronary computed tomography angiography (CCTA) and aid risk stratification in patients with chronic coronary syndromes (CCS). However, few studies have so far compared the prognostic value of all those parameters together. To develop and test the prognostic value of a composite CCTA score, derived from Agatston score, CAD-RADS, high-risk plaques and PCAT in patients undergoing CCTA due to CCS.
View Article and Find Full Text PDFIdentification of patients with unstable angina based on coronary CT angiography: the application of pericoronary adipose tissue radiomics.
Front Cardiovasc Med
December 2024
Cardiovascular Medicine Department, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
Objective: To explore whether radiomics analysis of pericoronary adipose tissue (PCAT) captured by coronary computed tomography angiography (CCTA) could discriminate unstable angina (UA) from stable angina (SA).
Methods: In this single-center retrospective case-control study, coronary CT images and clinical data from 240 angina patients were collected and analyzed. Patients with unstable angina ( = 120) were well-matched with those having stable angina ( = 120).
Incremental Value of Pericoronary Adipose Tissue Radiomics Models in Identifying Vulnerable Plaques.
J Comput Assist Tomogr
December 2024
Department of radiology, Shaoxing People's Hospital (Zhejiang University Shaoxing Hospital), Shaoxing, Zhejiang, China.
Objective: Inflammatory characteristics in pericoronary adipose tissue (PCAT) may enhance the diagnostic capability of radiomics techniques for identifying vulnerable plaques. This study aimed to evaluate the incremental value of PCAT radiomics scores in identifying vulnerable plaques defined by intravascular ultrasound imaging (IVUS).
Methods: In this retrospective study, a PCAT radiomics model was established and validated using IVUS as the reference standard.
Combining computed tomography features of left atrial epicardial and pericoronary adipose tissue with the triglyceride-glucose index to predict the recurrence of atrial fibrillation after radiofrequency catheter ablation: a machine learning study.
Quant Imaging Med Surg
December 2024
Department of Radiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Background: Radiofrequency catheter ablation (RFCA) represents an important treatment option for atrial fibrillation (AF); however, the recurrence rate following surgery is relatively high. This study aimed to predict the recurrence of AF after RFCA using interpretable machine learning models that combined the triglyceride-glucose (TyG) index and the quantification of left atrial epicardial and pericoronary adipose tissue.
Methods: This retrospective study included 325 patients with AF who underwent their first successful RFCA, among whom 79 had confirmed recurrence.
Corrigendum: Evaluating the role of pericoronary adipose tissue on coronary artery disease: insights from CCTA on risk assessment, vascular stenosis, and plaque characteristics.
Front Cardiovasc Med
November 2024
Department of Cardiovascular Medicine, The First Hospital of Jilin University, Changchun, China.
[This corrects the article DOI: 10.3389/fcvm.2024.
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