Influence of Collaterals on True FFR Prediction for a Left Main Stenosis with Concomitant Lesions: An In Vitro Study

Ricardo Coppel, Manuel Lagache, Gérard Finet, Gilles Rioufol, Armida Gómez, François Dérimay, Mauro Malvé, Saami K. Yazdani, Roderic I. Pettigrew, Jacques Ohayon

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

With the aim of assisting interventional cardiologists during decision making for revascularization, reduced-order (0D) approaches have been developed to predict the true fractional flow reserve (FFR True ) of individual stenoses in multiple-lesion arrangements. In this study, a general equation was derived to predict the FFR True of a left main (LM) coronary stenosis with downstream lesions, one in the left anterior descending (LAD) and the other in the left circumflex (LCx) artery, and distinct collateral circulations supplying each daughter artery. An in vitro model mimicking the fractal nature of LM bifurcation trees with collateral branches was developed to validate the FFR values obtained with the prediction model (FFR Pred Model ). Our results demonstrated that: (1) considering collaterals significantly improved the FFR Pred Model estimation for a moderate LM stenosis with two downstream lesions as compared to computations with no collateral consideration (p < 0.001): mean absolute error |FFR Pred Model − FFR True | ± SD was equal to 0.02 ± 0.01 vs. 0.04 ± 0.02 respectively, and (2) Deviations from FFR True for LM stenoses are correlated to both, downstream lesion severities and collateral developments. The present study supports the hypothesis that collateral circulations supplying the LAD and LCx must be considered when predicting the FFR True of an LM stenosis with downstream lesions.

Original languageEnglish (US)
Pages (from-to)1409-1421
Number of pages13
JournalAnnals of Biomedical Engineering
Volume47
Issue number6
DOIs
StatePublished - Jun 15 2019

Keywords

  • Bifurcation lesion
  • Coronary collateral flow
  • Fractional flow reserve
  • Left main coronary stenosis
  • Multiple stenoses
  • Prediction model

ASJC Scopus subject areas

  • Biomedical Engineering

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