Myocardial Blood Flow Quantification Using Stress Cardiac Magnetic Resonance Improves Detection of Coronary Artery

Shuo Wang1, Paul Kim2, Haonan Wang3

  • 1Division of Cardiovascular Medicine, University of Virginia Health System, Charlottesville, Virginia, USA.

JACC. Cardiovascular Imaging
|September 19, 2024
PubMed

Insights

Quantitative stress cardiovascular magnetic resonance (CMR) analysis of myocardial blood flow (MBF) and myocardial perfusion reserve (MPR) more accurately identifies obstructive coronary artery disease (obCAD) than qualitative assessment by experienced physicians.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Diagnostic Techniques

Background:

  • Stress cardiovascular magnetic resonance (CMR) assesses myocardial blood flow (MBF) and myocardial perfusion reserve (MPR) for epicardial coronary artery disease.
  • Quantitative perfusion analysis and conventional qualitative assessment (QA) comparison is limited.

Purpose of the Study:

  • To test if quantitative stress MBF (sMBF) and MPR analysis identifies obstructive coronary artery disease (obCAD) comparably to QA of stress CMR by experienced physicians.
  • To evaluate the diagnostic performance of quantitative vs. qualitative stress CMR in detecting obCAD.

Main Methods:

  • A multicenter study included 127 individuals undergoing stress CMR.
  • Obstructive coronary artery disease (obCAD) defined by stenosis ≥50% (left main) or ≥70% (major vessel).
  • Quantitative sMBF and MPR calculated; QA performed by 4 CMR experts.

Main Results:

  • Global sMBF and MPR were significantly lower in patients with obCAD (P < 0.001).
  • Quantitative analysis yielded higher areas under the curve (AUCs) for detecting obCAD (0.90 for sMBF, 0.86 for MPR) compared to QA (0.69–0.88).
  • Global sMBF and MPR demonstrated significantly superior diagnostic performance over average QA.

Conclusions:

  • Quantitative sMBF and MPR using dual-sequence stress CMR accurately identify obCAD.
  • Quantitative stress CMR outperforms qualitative analysis by experienced readers in detecting obstructive coronary artery disease.
Abstract