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Fractional flow reserve and coronary bifurcation anatomy: A novel quantitative model to assess and report the stenosis severity of bifurcation lesions

  • Shengxian Tu*
  • , Mauro Echavarria-Pinto
  • , Clemens Von Birgelen
  • , Niels R. Holm
  • , Stylianos A. Pyxaras
  • , Indulis Kumsars
  • , Ming Kai Lam
  • , Ilona Valkenburg
  • , Gabor G. Toth
  • , Yingguang Li
  • , Javier Escaned
  • , William Wijns
  • , Johan H.C. Reiber
  • *Corresponding author for this work
  • Shanghai Jiao Tong University
  • Leiden University
  • Hospital Clínico San Carlos de Madrid
  • Medisch Spectrum Twente
  • University of Twente
  • Aarhus University
  • Cardiovascular Center Aalst
  • Paula Stradina Clinical University Hospital

Research output: Contribution to journalArticlepeer-review

77 Citations (Scopus)

Abstract

Objectives The aim of this study was to develop a new model for assessment of stenosis severity in a bifurcation lesion including its core. The diagnostic performance of this model, powered by 3-dimensional quantitative coronary angiography to predict the functional significance of obstructive bifurcation stenoses, was evaluated using fractional flow reserve (FFR) as the reference standard. Background Development of advanced quantitative models might help to establish a relationship between bifurcation anatomy and FFR. Methods Patients who had undergone coronary angiography and interventions in 5 European cardiology centers were randomly selected and analyzed. Different bifurcation fractal laws, including Murray, Finet, and HK laws, were implemented in the bifurcation model, resulting in different degrees of stenosis severity. Results A total of 78 bifurcation lesions in 73 patients were analyzed. In 51 (65%) bifurcations, FFR was measured in the main vessel. A total of 34 (43.6%) interrogated vessels had an FFR a0.80. Correlation between FFR and diameter stenosis was poor by conventional straight analysis (ρ = -0.23, p < 0.001) but significantly improved by bifurcation analyses: the highest by the HK law (ρ = -0.50, p < 0.001), followed by the Finet law (ρ = -0.49, p < 0.001), and the Murray law (ρ = -0.41, p < 0.001). The area under the receiver-operating characteristics curve for predicting FFR a;0.80 was significantly higher by bifurcation analysis compared with straight analysis: 0.72 (95% confidence interval: 0.61 to 0.82) versus 0.60 (95% confidence interval: 0.49 to 0.71; p = 0.001). Applying a threshold of a50% diameter stenosis, as assessed by the bifurcation model, to predict FFR 0.80 resulted in 23 true positives, 27 true negatives, 17 false positives, and 11 false negatives. Conclusions The new bifurcation model provides a comprehensive assessment of bifurcation anatomy. Compared with straight analysis, identification of lesions with preserved FFR values in obstructive bifurcation stenoses was improved. Nevertheless, accuracy was limited by using solely anatomical parameters.

Original languageEnglish
Pages (from-to)564-574
Number of pages11
JournalJACC: Cardiovascular Interventions
Volume8
Issue number4
DOIs
Publication statusPublished - 20 Apr 2015
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Coronary bifurcation
  • fractional flow reserve
  • quantitative coronary angiography

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