VALUE OF ARTIFICIAL INTELLIGENCE-ENABLED QUANTITATIVE COMPUTED TOMOGRAPHY (AI-QCT) IN ENHANCING DIAGNOSTIC ACCURACY AND RISK STRATIFICATION OF CORONARY PLAQUE ON CCTA

Hồ Trần Bảo Nhi 1 , , Trần Bảo Ngọc , Trần Thanh Ngọc , Bùi Xuân Khải
1 University of Health Sciences, VNU-HCM
* Corresponding author:

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DOI
10.63947/bvtn.v2i8.5
Published
2026-06-07
Issue Vol. 2 No. 8 (2026): Geriatric Medicine in the Era of Personalization, Technology, and Prevention
Section
Review Article
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Research

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Bảo Nhi HT, Bảo Ngọc T, Thanh Ngọc T, Xuân Khải B. VALUE OF ARTIFICIAL INTELLIGENCE-ENABLED QUANTITATIVE COMPUTED TOMOGRAPHY (AI-QCT) IN ENHANCING DIAGNOSTIC ACCURACY AND RISK STRATIFICATION OF CORONARY PLAQUE ON CCTA. JHA [Internet]. Vietnam; 2026 Jun. 7 [cited 2026 Jun. 18];2(8):34–41. https://tcsuckhoelaohoa.vn/bvtn/article/view/198 doi: 10.63947/bvtn.v2i8.5
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Abstract

This study aims to evaluate the role of Artificial Intelligence-enabled Quantitative Computed Tomography (AI-QCT) in enhancing diagnostic accuracy and risk stratification compared to manual assessment using the CAD-RADS 2.0 standard in patients with non-obstructive coronary artery stenosis (<50%) via Coronary Computed Tomography Angiography (CCTA). Data were extracted from PubMed, ResearchGate, and ScienceDirect over the past six years. Selection criteria focused on clinical studies involving AI-QCT, high-risk plaque (HRP) characteristics, and the CAD-RADS 2.0 system. Results indicated that AI-QCT delivers superior performance, with sensitivity in detecting high-risk plaques ranging from 85% to 94%. The Area Under the Curve (AUC) for cardiovascular risk stratification reached 0.8 to 0.93. The integration of AI-QCT into CCTA analysis and the CAD-RADS 2.0 framework holds a dual strategic value: eradicating subjective bias to optimize risk stratification, while establishing a core foundation for personalizing preventive therapies and enhancing long-term clinical outcomes.

Keywords

AI-QCT risk stratification vulnerable plaque CAD-RADS 2.0 non-obstructive coronary artery disease CCTA

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