Prognostic value of coronary CTA-based AI plaque quantification in patients undergoing transcatheter aortic valve

Kifah Hussain1, Kevin Lee2, Senthil S Balasubramanian3

  • 1McGaw Medical Center of Northwestern University, Chicago, IL, USA; Endeavor NorthShore Cardiovascular Institute, Evanston, IL, USA; University of Chicago, Pritzker School of Medicine, Chicago, IL, USA.

PubMed

Insights

Artificial Intelligence Quantified Coronary Plaque Analysis (AI-QCPA) can predict major adverse cardiac events (MACE) after transcatheter aortic valve implantation (TAVI). Higher plaque volumes identified by AI-QCPA are linked to increased MACE risk within one year post-TAVI.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Coronary artery disease (CAD) is often evaluated during pre-transcatheter aortic valve implantation (TAVI) CT angiography (CTA).
  • Quantitative plaque analysis on coronary CTA (CCTA) is now feasible.
  • AI-QCPA enables detailed assessment of coronary plaque characteristics.

Purpose of the Study:

  • To evaluate the prognostic value of quantitative plaque volumes derived from pre-TAVI CTA using AI-QCPA.
  • To determine if AI-QCPA can predict major adverse cardiac events (MACE) within one year post-TAVI.

Main Methods:

  • An observational cohort study included 128 patients undergoing CTA for TAVI planning.
  • Coronary plaque characteristics were analyzed using AI-QCPA.
  • Differences in plaque volumes were compared between patients who did and did not develop MACE within 1 year post-TAVI.

Main Results:

  • Patients who developed MACE had significantly higher median total plaque volume (TPV), calcified plaque volume (CPV), non-calcified plaque volume (NCPV), and low-attenuation plaque volume (LAPV).
  • The highest quartile of NCPV and LAPV were independently associated with MACE after adjusting for STS score, statin use, and pre-TAVI revascularization.
  • Total plaque and all plaque subtypes were independently associated with MACE when adjusted for coronary stenosis.

Conclusions:

  • AI-QCPA effectively quantifies coronary plaque in patients undergoing TAVI.
  • High coronary plaque volume, particularly NCPV and LAPV, assessed by AI-QCPA, is independently associated with an increased risk of MACE within one year post-TAVI.
Abstract