Effect of the ratio of vessel-specific volume to fractional myocardial mass on fractional flow reserve

Exp Biol Med (Maywood). 2022 Sep;247(18):1630-1638. doi: 10.1177/15353702211027119. Epub 2021 Jul 8.

Abstract

This study aimed to examine whether the ratio of vessel-specific coronary arterial lumen volume to the fraction of myocardial mass (VR/MR) affects myocardial ischemia. We proposed a calculation method for VR/MR, and compared the ratio of total epicardial coronary arterial lumen volume to left ventricular myocardial mass (V/M) with VR/MR in predicting myocardial ischemia. VR/MR and V/M were computed using data from 205 patients with 241 stenosis vessel who underwent coronary computed tomography angiography (CTA), quantitative coronary angiography, and fractional flow reserve. The vessel-specific coronary arterial lumen volume (VR) was obtained from CTA by segmenting the coronary arterial lumen volume, while the vessel-specific fraction of myocardial mass (MR) was obtained by allometric scaling. The VR/MR was then calculated. The cut-off values of V/M (23.55 mm3/g) and VR/MR (12.98 mm3/g) were used to define equal groups of ischemic and non-ischemic patients, respectively. Using these cut-off values, the accuracy, specificity, sensitivity, positive predictive value, and negative predictive value of V/M were 60%, 76%, 45%, 57%, and 66%, and of VR/MR were 87%, 92%, 77%, 89%, and 83%, respectively. Patients have different VR/MR values in different stenotic coronary arteries. Clinically, VR/MR is a quantitative indicator of the risk of myocardial ischemia.

Keywords: Coronary artery disease; fractional flow reserve; fractional myocardial mass; volume to mass ratio.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Computed Tomography Angiography
  • Coronary Angiography / methods
  • Coronary Artery Disease*
  • Coronary Stenosis* / diagnostic imaging
  • Coronary Vessels / diagnostic imaging
  • Fractional Flow Reserve, Myocardial*
  • Humans
  • Myocardial Ischemia* / diagnostic imaging
  • Severity of Illness Index