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Purpose of the review <p>This review summarizes current methodology and applications of plaque quantification by coronary computed tomography angiography (CTA) to inform clinical practice.</p> Recent findings <p>CTA, intravascular ultrasound, and coronary angiography assessment of cardiovascular risk correlate. Classification based on CTA parameters enable risk stratification that guides treatment decisions and follow-up CTA frequency for longitudinal plaque assessment. Moreover, plaque progression according to CTA is associated with increased risk for cardiovascular events.</p> Summary <p>CTA-assessed total plaque volume and percent atheroma volume are valid predictors of cardiovascular risk, and noncalcified plaque volume adds incremental predictive power. Deep learning–enabled artificial intelligence–CTA platforms have improved the utility of CTA. Changes in plaque morphology and volume are promising uses for CTA; however, longitudinal plaque analysis requires scanner replication, imaging protocols, contrast concentration, and validated plaque analysis software.</p>

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Coronary Computed Tomography and Artificial Intelligence–based Plaque Analysis

  • 期刊论文

  • 发表日期：

    2026年4月16日

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  • Rayhan Saiani,
  • Christie M Ballantyne

摘要

Purpose of the review

This review summarizes current methodology and applications of plaque quantification by coronary computed tomography angiography (CTA) to inform clinical practice.

Recent findings

CTA, intravascular ultrasound, and coronary angiography assessment of cardiovascular risk correlate. Classification based on CTA parameters enable risk stratification that guides treatment decisions and follow-up CTA frequency for longitudinal plaque assessment. Moreover, plaque progression according to CTA is associated with increased risk for cardiovascular events.

Summary

CTA-assessed total plaque volume and percent atheroma volume are valid predictors of cardiovascular risk, and noncalcified plaque volume adds incremental predictive power. Deep learning–enabled artificial intelligence–CTA platforms have improved the utility of CTA. Changes in plaque morphology and volume are promising uses for CTA; however, longitudinal plaque analysis requires scanner replication, imaging protocols, contrast concentration, and validated plaque analysis software.