Literature DB >> 31525085

Optimal Cutoff Value of Fractional Flow Reserve Derived From Coronary Computed Tomography Angiography for Predicting Hemodynamically Significant Coronary Artery Disease.

Yukiko Matsumura-Nakano1, Tetsuma Kawaji2, Hiroki Shiomi1, Kanae Kawai-Miyake3, Masako Kataoka3, Koji Koizumi3, Akira Matsuda3, Kazuki Kitano1, Masaharu Yoshida1, Hirotoshi Watanabe1, Junichi Tazaki1, Takao Kato1, Naritatsu Saito1, Satoshi Shizuta1, Koh Ono1, Kaori Togashi3, Takeshi Morimoto4, Takeshi Kimura1.   

Abstract

BACKGROUND: The optimal cutoff value of fractional flow reserve (FFR) derived from coronary computed tomography angiography (FFRCT) remains unclear.
METHODS: The current study population consisted of 93 patients with 139 vessels, who had suspected coronary artery disease by computed tomography angiography and underwent invasive FFR. We evaluated diagnostic performance of FFRCT according to different FFRCT cutoff values and FFRCT ranges with invasive FFR ≤0.80 as the reference standard.
RESULTS: In per-vessel analysis, median invasive FFR was 0.85 (interquartile range, 0.75-0.90), and 57 out of 139 vessels (41%) showed hemodynamically significant stenosis (≤0.80). Median FFRCT was 0.77 (interquartile range, 0.66-0.84; mean difference [invasive FFR-FFRCT], 0.06±0.11). Per-vessel accuracy, sensitivity, specificity, positive predictive value, and negative predictive value were 73%, 95%, 59%, 61%, and 94% for the cutoff value of FFRCT ≤0.80, 81%, 86%, 78%, 73%, and 89% for FFRCT ≤0.75, and 83%, 74%, 89%, 82%, and 83% for FFRCT ≤0.70, respectively. Per-vessel accuracy across the different ranges of FFRCT ≤0.60, 0.61 to 0.70, 0.71 to 0.80, 0.81 to 0.90, and >0.90 with the cutoff value of FFRCT ≤0.80 were 95%, 74%, 32%, 93%, and 100%, respectively. Setting a gray zone of FFRCT 0.71 to 0.80 provided high positive predictive value (82%; n=42/51) in the range of FFRCT ≤0.70 and high negative predictive value (94%; n=48/51) in FFRCT >0.80.
CONCLUSIONS: This study suggested that referral to invasive coronary angiography should be considered individually in the range of FFRCT 0.71 to 0.80, whereas dichotomous decision could be made in FFRCT ≤0.70 and >0.80. Future prospective studies evaluating clinical outcomes are needed to establish optimal FFRCT-based diagnostic algorithm.

Entities:  

Keywords:  algorithm; computed tomography angiography; coronary angiography; coronary artery disease; hemodynamics

Year:  2019        PMID: 31525085     DOI: 10.1161/CIRCIMAGING.119.008905

Source DB:  PubMed          Journal:  Circ Cardiovasc Imaging        ISSN: 1941-9651            Impact factor:   7.792


  5 in total

1.  Expanding the role of fractional flow reserve derived from computed tomography (FFRCT) for the non-invasive imaging of patients with coronary stents: rise of the machines?

Authors:  Andrea Matteucci; Gianluca Massaro; Mamas A Mamas; Giuseppe Biondi-Zoccai
Journal:  Eur Radiol       Date:  2021-04-23       Impact factor: 5.315

2.  Stable patients with suspected myocardial ischemia: comparison of machine-learning computed tomography-based fractional flow reserve and stress perfusion cardiovascular magnetic resonance imaging to detect myocardial ischemia.

Authors:  Dirk Lossnitzer; Selina Klenantz; Florian Andre; Johannes Goerich; U Joseph Schoepf; Kyle L Pazzo; Andre Sommer; Matthias Brado; Friedemann Gückel; Roman Sokiranski; Tobias Becher; Ibrahim Akin; Sebastian J Buss; Stefan Baumann
Journal:  BMC Cardiovasc Disord       Date:  2022-02-05       Impact factor: 2.298

Review 3.  The role of cardiac computed tomography in predicting adverse coronary events.

Authors:  Maria Emfietzoglou; Michail C Mavrogiannis; Athanasios Samaras; Georgios P Rampidis; George Giannakoulas; Polydoros N Kampaktsis
Journal:  Front Cardiovasc Med       Date:  2022-07-15

4.  Effect of Coronary Calcification Severity on Measurements and Diagnostic Performance of CT-FFR With Computational Fluid Dynamics: Results From CT-FFR CHINA Trial.

Authors:  Na Zhao; Yang Gao; Bo Xu; Weixian Yang; Lei Song; Tao Jiang; Li Xu; Hongjie Hu; Lin Li; Wenqiang Chen; Dumin Li; Feng Zhang; Lijuan Fan; Bin Lu
Journal:  Front Cardiovasc Med       Date:  2022-01-03

5.  Verification of Coronary Computed Tomography-Derived Fractional Flow Reserve Measurement Site for Detection of Significant Coronary Artery Disease.

Authors:  Tomohiro Kawasaki; Taichi Okonogi; Hisashi Koga; Yoshiya Orita; Kyoko Umeji; Ryota Fukuoka; Keisuke Hirai; Kazuki Haraguchi; Kimihiro Kajiyama; Yurie Fukami; Toshiya Soejima; Kensho Abe; Hiroshige Yamabe
Journal:  Circ Rep       Date:  2021-10-29
  5 in total

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