Advanced analyses of computed tomography coronary angiography can help discriminate ischemic lesions

Jun-Mei Zhang1, Dongsi Shuang2, Lohendran Baskaran3

  • 1National Heart Center Singapore, 5 Hospital Drive, 169609, Singapore; Duke-NUS Medical School, 8 College Rd, 169857, Singapore.

Insights

Computed tomography coronary angiography (CTCA) analysis of plaque volume and napkin-ring sign, alongside numerical simulations for FFRB, significantly improves the detection of ischemic coronary lesions compared to diameter stenosis alone.

Area of Science:

  • Cardiovascular Imaging
  • Computational Fluid Dynamics
  • Biomedical Engineering

Background:

  • Computed tomography coronary angiography (CTCA) facilitates plaque characterization and non-invasive fractional flow reserve (FFR) calculation.
  • Analyzing CTCA-derived parameters aids in understanding their association with myocardial ischemia.

Purpose of the Study:

  • To evaluate the association of various CTCA-derived anatomical, plaque, and hemodynamic parameters with ischemia.
  • To determine the predictive value of these parameters, including normalized plaque volume (NP Vol) and napkin-ring (NR) sign, in identifying obstructive coronary lesions.

Main Methods:

  • CTCA and invasive FFR were performed on 49 patients (61 lesions).
  • Image processing quantified lesion length, minimum lumen area, plaque characteristics (volume, NP Vol, NR sign), and hemodynamic parameters (FFRB).
  • Ischemia was defined as FFR ≤ 0.8; obstructive lesions had diameter stenosis (DS) ≥ 50%.

Main Results:

  • Plaque burden and volume were inversely correlated with FFR.
  • Multivariable analysis identified NP Vol and NR Sign as significant plaque predictors, and FFRB as a strong hemodynamic predictor of ischemia.
  • The area under the curve (AUC) for predicting ischemia increased from 0.70 (DS alone) to 0.81 (DS, NP Vol, NR Sign) and 0.93 (DS, NP Vol, NR Sign, FFRB).

Conclusions:

  • Normalized plaque volume and napkin-ring sign from CTCA plaque analysis significantly enhance the discrimination of ischemic lesions.
  • FFRB derived from numerical simulations on CTCA images further improves diagnostic accuracy.
  • Combined CTCA parameters offer superior detection of ischemia compared to DS alone.
Abstract

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