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Utility of CAD-RADS 2.0 Plaque Burden Grades and Stenosis Categories on Coronary CTA for Predicting Cardiac Events in Patients With Acute Chest Pain: A Multicenter Study

Authors
 Ji Won Lee  ;  Jin Young Kim  ;  Kyunghwa Han  ;  Kye Ho Lee  ;  Dong Jin Im  ;  Chul Hwan Park  ;  Jin Hur 
Citation
 AMERICAN JOURNAL OF ROENTGENOLOGY, Vol.225(4) : e2533005, 2025-10 
Journal Title
AMERICAN JOURNAL OF ROENTGENOLOGY
ISSN
 0361-803X 
Issue Date
2025-10
MeSH
Aged ; Chest Pain* / diagnostic imaging ; Chest Pain* / etiology ; Computed Tomography Angiography* / methods ; Coronary Angiography* / methods ; Coronary Artery Disease* / complications ; Coronary Artery Disease* / diagnostic imaging ; Coronary Stenosis* / complications ; Coronary Stenosis* / diagnostic imaging ; Emergency Service, Hospital ; Female ; Humans ; Male ; Middle Aged ; Plaque, Atherosclerotic* / complications ; Plaque, Atherosclerotic* / diagnostic imaging ; Predictive Value of Tests ; Retrospective Studies
Keywords
CAD-RADS ; CTA ; chest pain ; coronary artery disease ; prognosis
Abstract
BACKGROUND. Coronary Artery Disease Reporting and Data System (CAD-RADS) 2.0 incorporated reporting of plaque burden grades in addition to stenosis categories. OBJECTIVE. The purpose of this study was to assess the usefulness of plaque burden grades and CAD-RADS categories, determined on coronary CTA by use of CAD-RADS 2.0, in predicting cardiac events in patients presenting to the emergency department (ED) with acute chest pain. METHODS. This retrospective study included patients who underwent coronary CTA after presenting to the ED with acute chest pain at one of four centers from January 2018 to December 2021. A single radiologist reviewed examinations at each center to assign a plaque burden grade by calculating a coronary artery calcium score on noncontrast images and to assign a CAD-RADS category by assessing vessel stenosis on contrast-enhanced CTA images, with both assignments made using CAD-RADS 2.0. The reviewing radiologist at each center also assessed examinations for the presence of high-risk plaque. The EMR was reviewed for cardiac events, reflecting a composite outcome of cardiac-related death, myocardial infarction, or hospitalization for unstable angina. Prognostic models were compared. RESULTS. The study included 2032 patients (1085 men and 947 women; mean age, 58.4 years). During a median follow-up of 15.2 months, 63 patients (3.1%) had cardiac events. In a multivariable Cox model adjusting for clinical variables, cardiac events showed significant independent associations with CAD-RADS 3 (HR = 7.1), CAD-RADS 4 (HR = 13.6), CAD-RADS 5 (HR = 17.6), and high-risk plaque (HR = 2.5) but not with plaque burden grades. For predicting cardiac events, the C statistic was 0.67 for a model including clinical variables; 0.74 for a model including clinical variables and plaque burden grades; 0.86 for a model including clinical variables, CAD-RADS categories, and high-risk plaque; and 0.87 for a model including clinical variables, plaque burden grades, CAD-RADS categories, and high-risk plaque. The model with clinical variables, CAD-RADS categories, and high-risk plaque but without plaque burden grades showed the highest net clinical benefit across threshold probabilities from 20% to 100%. CONCLUSION. Addition of plaque burden grades did not provide further prognostic benefit in models using CAD-RADS categories. CLINICAL IMPACT. Inclusion of an additional noncontrast acquisition for coronary artery calcium scoring within coronary CTA protocols may not improve risk stratification for patients presenting to the ED with chest pain.
Full Text
https://www.ajronline.org/doi/10.2214/AJR.25.33005
DOI
10.2214/AJR.25.33005
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
Park, Chul Hwan(박철환) ORCID logo https://orcid.org/0000-0002-0004-9475
Im, Dong Jin(임동진) ORCID logo https://orcid.org/0000-0001-8139-5646
Han, Kyung Hwa(한경화)
Hur, Jin(허진) ORCID logo https://orcid.org/0000-0002-8651-6571
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/209721
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