Comparative Effectiveness of CT-Derived Atherosclerotic Plaque Metrics for Predicting Myocardial Ischemia

Hooman Bakhshi, Zahra Meyghani, Satoru Kishi, Tiago A. Magalhães, Andrea Vavere, Pieter H. Kitslaar, Richard T. George, Hiroyuki Niinuma, Johan H.C. Reiber, Aisha Betoko, Matthew Matheson, Carlos E. Rochitte, Marcelo F. Di Carli, Christopher Cox, João A.C. Lima, Armin Arbab-Zadeh

Research output: Contribution to journalArticlepeer-review

Abstract

Objectives: This study sought to investigate the performance of various cardiac computed tomography (CT)–derived atherosclerotic plaque metrics for predicting provocable myocardial ischemia. Background: The association of coronary arterial diameter stenosis with myocardial ischemia is only modest, but cardiac CT provides several other, readily available atherosclerosis metrics, which may have incremental value. Methods: The study analyzed 873 nonstented coronary arteries and their myocardial perfusion territories in 356 patients (mean 62 years of age) enrolled in the CORE320 (Coronary Artery Evaluation using 320-row Multidetector Computed Tomography Angiography and Myocardial Perfusion) study. Myocardial perfusion defects in static CT perfusion imaging were graded at rest and after adenosine in 13 myocardial segments using a 4-point scale. The summed difference score was calculated by subtracting the summed rest score from the summed stress score. Reversible ischemia was defined as summed difference score ≥1. In a sensitivity analysis, results were also provided using single-photon emission computed tomography (SPECT) as the reference standard. Vessel based predictor variables included maximum percent diameter stenosis, lesion length, coronary calcium score, maximum cross-sectional calcium arc, percent atheroma volume (PAV), low-attenuation atheroma volume, positive (external) vascular remodeling, and subjective impression of “vulnerable plaque.” The study used logistic regression models to assess the association of plaque metrics with myocardial ischemia. Results: In univariate analysis, all plaque metrics were associated with reversible ischemia. In the adjusted logistic model, only maximum percent diameter stenosis (1.26; 95% confidence interval: 1.15 to 1.38) remained an independent predictor. With SPECT as outcome variable, PAV and “vulnerable” plaque remained predictive after adjustment. In vessels with intermediate stenosis (40% to 70%), no single metric had clinically meaningful incremental value. Conclusions: Various plaque metrics obtained by cardiac CT predict provocable myocardial ischemia by CT perfusion imaging through their association with maximum percent stenosis, while none had significant incremental value. With SPECT as reference standard, PAV and “vulnerable plaque” remained predictors of ischemia after adjustment but the predictive value added to stenosis assessment alone was small.

Original languageEnglish (US)
Pages (from-to)1367-1376
Number of pages10
JournalJACC: Cardiovascular Imaging
Volume12
Issue number7
DOIs
StatePublished - Jul 2019

Keywords

  • CT perfusion
  • CT plaque characterization
  • cardiac CT
  • diameter stenosis
  • plaque burden

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Cardiology and Cardiovascular Medicine

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