Literature DB >> 25205628

Comparison of diagnostic value of a novel noninvasive coronary computed tomography angiography method versus standard coronary angiography for assessing fractional flow reserve.

Matthias Renker1, U Joseph Schoepf2, Rui Wang3, Felix G Meinel4, Jeremy D Rier5, Richard R Bayer5, Helge Möllmann6, Christian W Hamm6, Daniel H Steinberg5, Stefan Baumann7.   

Abstract

Noninvasive fractional flow reserve (FFR) from coronary computed tomography angiography (cCTA) correlates well with invasive FFR and substantially improves the detection of obstructive coronary artery disease. However, with current algorithms, computed tomography (CT)-based FFR is derived off-site in an involved time-consuming manner. We sought to investigate the diagnostic performance of a novel CT-based FFR algorithm, developed for time-efficient in-hospital evaluation of hemodynamically indeterminate coronary lesions. In a blinded fashion, CT-based FFR was assessed in 67 coronary lesions of 53 patients. Pressure guidewire-based FFR <0.80 served as the reference standard to define hemodynamically significant stenosis and assess the diagnostic performance of CT-based FFR compared with standard evaluation of cCTA (luminal diameter stenosis of ≥50%). We recorded the time needed for derivation of CT-based FFR. On a per-lesion and per-patient basis, CT-based FFR resulted in a sensitivity of 85% and 94%, a specificity of 85% and 84%, a positive predictive value of 71% and 71%, and a negative predictive value of 93% and 97%, respectively. The area under the receiver operating characteristic curve on a per-lesion basis was significantly greater for CT-based FFR compared with standard evaluation of cCTA (0.92 vs 0.72, p = 0.0049). A similar trend, albeit not statistically significant, was observed on per-patient analysis (0.91 vs 0.78, p = 0.078). Mean total time for CT-based FFR was 37.5 ± 13.8 minutes. In conclusion, the CT-based FFR algorithm evaluated here outperforms standard evaluation of cCTA for the detection of hemodynamically significant stenoses while allowing on-site application within clinically viable time frames.
Copyright © 2014 Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 25205628     DOI: 10.1016/j.amjcard.2014.07.064

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  49 in total

Review 1.  Stress echocardiography: what is new and how does it compare with myocardial perfusion imaging and other modalities?

Authors:  Marysia S Tweet; Adelaide M Arruda-Olson; Nandan S Anavekar; Patricia A Pellikka
Journal:  Curr Cardiol Rep       Date:  2015-06       Impact factor: 2.931

Review 2.  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

3.  Fractional flow reserve derived by coronary computed tomography angiography : A sophisticated analysis method for detecting hemodynamically significant coronary stenosis.

Authors:  S Baumann; T Becher; U J Schoepf; D Lossnitzer; T Henzler; I Akin; M Borggrefe; M Renker
Journal:  Herz       Date:  2016-10-25       Impact factor: 1.443

4.  Additional diagnostic value of new CT imaging techniques for the functional assessment of coronary artery disease: a meta-analysis.

Authors:  Michèle Hamon; Damien Geindreau; Lydia Guittet; Christophe Bauters; Martial Hamon
Journal:  Eur Radiol       Date:  2019-01-07       Impact factor: 5.315

5.  Interference with MCP-1 gene expression by vector generated triple helix-forming RNA oligonucleotides.

Authors:  K Kautz; M Schwarz; H H Radeke
Journal:  Cell Mol Life Sci       Date:  2005-02       Impact factor: 9.261

6.  Diagnostic performance of machine-learning-based computed fractional flow reserve (FFR) derived from coronary computed tomography angiography for the assessment of myocardial ischemia verified by invasive FFR.

Authors:  Xiuhua Hu; Minglei Yang; Lu Han; Yujiao Du
Journal:  Int J Cardiovasc Imaging       Date:  2018-07-30       Impact factor: 2.357

7.  Is FFR-CT a "game changer" in the diagnostic management of stable coronary artery disease?

Authors:  W A Leber
Journal:  Herz       Date:  2016-08       Impact factor: 1.443

8.  Estimation of the flow resistances exerted in coronary arteries using a vessel length-based method.

Authors:  Kyung Eun Lee; Soon-Sung Kwon; Yoon Cheol Ji; Eun-Seok Shin; Jin-Ho Choi; Sung Joon Kim; Eun Bo Shim
Journal:  Pflugers Arch       Date:  2016-06-11       Impact factor: 3.657

Review 9.  Cardiac CT Imaging of Plaque Vulnerability: Hype or Hope?

Authors:  Martin J Willemink; Tim Leiner; Pál Maurovich-Horvat
Journal:  Curr Cardiol Rep       Date:  2016-04       Impact factor: 2.931

10.  Computed tomography angiography-derived fractional flow reserve (CT-FFR) for the detection of myocardial ischemia with invasive fractional flow reserve as reference: systematic review and meta-analysis.

Authors:  Baiyan Zhuang; Shuli Wang; Shihua Zhao; Minjie Lu
Journal:  Eur Radiol       Date:  2019-11-06       Impact factor: 5.315

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