Three dimensional quantitative coronary angiography can detect reliably ischemic coronary lesions based on fractional flow reserve

Woo Young Chung, Byoung Joo Choi, Seong Hoon Lim, Yoshiki Matsuo, Ryan J. Lennon, Rajiv Gulati, Gurpreet S. Sandhu, David R. Holmes, Charanjit S. Rihal, Amir Lerman

Research output: Contribution to journalArticle

11 Scopus citations

Abstract

Conventional coronary angiography (CAG) has limitations in evaluating lesions producing ischemia. Three dimensional quantitative coronary angiography (3D-QCA) shows reconstructed images of CAG using computer based algorithm, the Cardio-op B system (Paieon Medical, Rosh Ha'ayin, Israel). The aim of this study was to evaluate whether 3D-QCA can reliably predict ischemia assessed by myocardial fractional flow reserve (FFR) < 0.80. 3D-QCA images were reconstructed from CAG which also were evaluated with FFR to assess ischemia. Minimal luminal diameter (MLD), percent diameter stenosis (%DS), minimal luminal area (MLA), and percent area stenosis (%AS) were obtained. The results of 3D-QCA and FFR were compared. A total of 266 patients was enrolled for the present study. FFR for all lesions ranged from 0.57 to 1.00 (0.85 ± 0.09). Measurement of MLD, %DS, MLA, and %AS all were significantly correlated with FFR (r = 0.569, 0609, 0.569, 0.670, respectively, all P < 0.001). In lesions with MLA < 4.0 mm2, %AS of more than 65.5% had a 80% sensitivity and a 83% specificity to predict FFR < 0.80 (area under curve, AUC was 0.878). 3D-QCA can reliably predict coronary lesions producing ischemia and may be used to guide therapeutic approach for coronary artery disease.

Original languageEnglish (US)
Pages (from-to)716-724
Number of pages9
JournalJournal of Korean medical science
Volume30
Issue number6
DOIs
StatePublished - 2015

Keywords

  • Coronary angiography
  • Coronary artery disease
  • Myocardial ischemia

ASJC Scopus subject areas

  • Medicine(all)

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