Literature DB >> 25452201

Non-invasive computed fractional flow reserve from computed tomography (CT) for diagnosing coronary artery disease – Japanese results from NXT trial (Analysis of Coronary Blood Flow Using CT Angiography: Next Steps).

Toru Miyoshi1, Kazuhiro Osawa, Hiroshi Ito, Susumu Kanazawa, Takeshi Kimura, Hiroki Shiomi, Sachio Kuribayashi, Masahiro Jinzaki, Akio Kawamura, Hiram Bezerra, Stephan Achenbach, Bjarne L Nørgaard.   

Abstract

BACKGROUND: Recently, a non-invasive method using computational fluid dynamics to calculate vessel-specific fractional flow reserve (FFRCT) from routinely acquired coronary computed tomography angiography (CTA) was described. The Analysis of Coronary Blood Flow Using CT Angiography: Next Steps (NXT) trial, which was a prospective, multicenter trial including 254 patients with suspected coronary artery disease, noted high diagnostic performance of FFRCT compared with invasive FFR. The aim of this post-hoc analysis was to assess the diagnostic performance of non-invasive FFRCT vs. standard stenosis quantification on coronary CTA in the Japanese subset of the NXT trial. METHODS AND
RESULTS: A total of 57 Japanese participants were included from Okayama University (n=36), Kyoto University (n=17), and Keio University (n=4) Hospitals. Per-patient diagnostic accuracy of FFRCT(74%; 95% confidence interval [CI]: 60-85%) was higher than for coronary CTA (47%; 95% CI: 34-61%, P<0.001) arising from improved specificity (63% vs. 27%, P<0.001). FFRCT correctly reclassified 53% of patients and 63% of vessels with coronary CTA false positives as true negatives. When patients with Agatston score >1,000 were excluded, per-patient accuracy of FFRCT was 83% with a high specificity of 76%, similar to the overall NXT trial findings.
CONCLUSIONS: FFRCT has high diagnostic performance compared with invasive FFR in the Japanese subset of patients in the NXT trial.

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Year:  2014        PMID: 25452201     DOI: 10.1253/circj.CJ-14-1051

Source DB:  PubMed          Journal:  Circ J        ISSN: 1346-9843            Impact factor:   2.993


  8 in total

Review 1.  Emerging Role of Coronary Computed Tomography Angiography in Lipid-Lowering Therapy: a Bridge to Image-Guided Personalized Medicine.

Authors:  Toru Miyoshi; Kazuhiro Osawa; Keishi Ichikawa; Kazuki Suruga; Takashi Miki; Masashi Yoshida; Koji Nakagawa; Hironobu Toda; Kazufumi Nakamura; Hiroshi Morita; Hiroshi Ito
Journal:  Curr Cardiol Rep       Date:  2019-06-21       Impact factor: 2.931

2.  Reduced order models for transstenotic pressure drop in the coronary arteries.

Authors:  Mehran Mirramezani; Scott Diamond; Harold Litt; Shawn C Shadden
Journal:  J Biomech Eng       Date:  2018-12-05       Impact factor: 2.097

Review 3.  Physiome approach for the analysis of vascular flow reserve in the heart and brain.

Authors:  Kyung Eun Lee; Ah-Jin Ryu; Eun-Seok Shin; Eun Bo Shim
Journal:  Pflugers Arch       Date:  2017-03-28       Impact factor: 3.657

4.  Coronary lesion characteristics with mismatch between fractional flow reserve derived from CT and invasive catheterization in clinical practice.

Authors:  Kazuhiro Osawa; Toru Miyoshi; Takashi Miki; Yuji Koide; Yusuke Kawai; Kentaro Ejiri; Masatoki Yoshida; Shuhei Sato; Susumu Kanazawa; Hiroshi Ito
Journal:  Heart Vessels       Date:  2016-09-13       Impact factor: 2.037

5.  Fractional flow reserve based on computed tomography: an overview.

Authors:  Francesco Secchi; Marco Alì; Elena Faggiano; Paola Maria Cannaò; Marco Fedele; Silvia Tresoldi; Giovanni Di Leo; Ferdinando Auricchio; Francesco Sardanelli
Journal:  Eur Heart J Suppl       Date:  2016-04-29       Impact factor: 1.803

6.  Diagnostic Performance of First-Pass Myocardial Perfusion Imaging without Stress with Computed Tomography (CT) Compared with Coronary CT Angiography Alone, with Fractional Flow Reserve as the Reference Standard.

Authors:  Kazuhiro Osawa; Toru Miyoshi; Takashi Miki; Yasushi Koyama; Shuhei Sato; Susumu Kanazawa; Hiroshi Ito
Journal:  PLoS One       Date:  2016-02-19       Impact factor: 3.240

7.  Instantaneous wave-free ratio derived from coronary computed tomography angiography in evaluation of ischemia-causing coronary stenosis: Feasibility and initial clinical research.

Authors:  Yue Ma; Hui Liu; Yang Hou; Aike Qiao; Yingying Hou; Qingqing Yang; Qiyong Guo
Journal:  Medicine (Baltimore)       Date:  2017-01       Impact factor: 1.889

8.  Active training of physics-informed neural networks to aggregate and interpolate parametric solutions to the Navier-Stokes equations.

Authors:  Christopher J Arthurs; Andrew P King
Journal:  J Comput Phys       Date:  2021-08-01       Impact factor: 3.553

  8 in total

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