Association Between Automated 3D Measurement of Coronary Luminal Narrowing and Risk of Future Myocardial Infarction

J Cardiovasc Transl Res. 2024 Aug;17(4):893-900. doi: 10.1007/s12265-024-10500-2. Epub 2024 Mar 1.

Abstract

This study focuses on identifying anatomical markers with predictive capacity for long-term myocardial infarction (MI) in focal coronary artery disease (CAD). Eighty future culprit lesions (FCL) and 108 non-culprit lesions (NCL) from 80 patients underwent 3D quantitative coronary angiography. The minimum lumen area (MLA), minimum lumen ratio (MLR), and vessel fractional flow reserve (vFFR) were evaluated. MLR was defined as the ratio between MLA and the cross-sectional area at the proximal lesion edge, with lower values indicating more abrupt luminal narrowing. Significant differences were observed between FCL and NCL in MLR (0.41 vs. 0.53, p < 0.001). MLR correlated inversely with translesional vFFR (r = - 0.26, p = 0.0004) and was the strongest predictor of MI at 5 years (AUC = 0.75). Lesions with MLR < 0.40 had a fourfold increased MI incidence at 5 years. MLR is a robust predictor of future adverse coronary events.

Keywords: Coronary artery disease; Minimum lumen ratio; Myocardial infarction; Quantitative coronary angiography; Translesional pressure gradient.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Automation
  • Coronary Angiography*
  • Coronary Artery Disease* / diagnostic imaging
  • Coronary Artery Disease* / epidemiology
  • Coronary Artery Disease* / physiopathology
  • Coronary Stenosis / diagnostic imaging
  • Coronary Stenosis / physiopathology
  • Coronary Vessels* / diagnostic imaging
  • Coronary Vessels* / physiopathology
  • Female
  • Fractional Flow Reserve, Myocardial*
  • Humans
  • Imaging, Three-Dimensional*
  • Incidence
  • Male
  • Middle Aged
  • Myocardial Infarction* / diagnostic imaging
  • Myocardial Infarction* / physiopathology
  • Predictive Value of Tests*
  • Prognosis
  • Radiographic Image Interpretation, Computer-Assisted
  • Risk Assessment
  • Risk Factors
  • Time Factors