Cardiac CT for personalized phenotyping in stable coronary artery disease: toward precision medicine

Joel Lenell1, Kajetan Grodecki1,2, Jacek Kwiecinski3

  • 1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States.

BJR Open
|July 28, 2026
PubMed

Insights

Coronary CT angiography (CCTA) now guides chronic coronary artery disease (CAD) diagnosis by assessing plaque features, not just ischemia. Advanced imaging and AI enable precise risk assessment for personalized patient management.

Area of Science:

  • Cardiovascular Imaging
  • Radiology
  • Artificial Intelligence in Medicine

Background:

  • The diagnostic approach for symptomatic chronic coronary artery disease (CAD) has shifted towards noninvasive anatomical assessment.
  • Coronary CT angiography (CCTA) is now the preferred first-line modality for evaluating CAD in most patients presenting with chest pain.
  • This paradigm shift emphasizes stenosis and plaque characterization over traditional ischemia testing.

Purpose of the Study:

  • To review CCTA-derived plaque features and associated imaging biomarkers for risk stratification in CAD.
  • To highlight the potential of these biomarkers in precision phenotyping and individualized patient management.
  • To discuss future developments facilitating the clinical adoption of novel CCTA imaging biomarkers.

Main Methods:

  • Review of current literature on technological advancements and landmark trials in CAD diagnostics.
  • Focus on the evolution from qualitative to quantitative plaque analysis using CCTA.
  • Integration of artificial intelligence (AI) for rapid quantitative plaque component acquisition.

Main Results:

  • CCTA enables detailed characterization of coronary plaque features, serving as crucial clinical risk markers.
  • Novel imaging biomarkers, including peri-coronary adipose tissue attenuation and epicardial adipose tissue volume, are identified.
  • AI-powered software facilitates feasible, rapid quantitative plaque analysis in clinical practice.

Conclusions:

  • CCTA-derived plaque features and biomarkers offer significant potential for precise CAD phenotyping.
  • These advancements support individualized management strategies for patients with coronary artery disease.
  • Future developments are expected to drive widespread clinical integration of these advanced imaging biomarkers.

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