Literature DB >> 26691914

Software-based on-site estimation of fractional flow reserve using standard coronary CT angiography data.

Jakob De Geer1, Mårten Sandstedt2, Anders Björkholm3, Joakim Alfredsson4, Magnus Janzon4, Jan Engvall5, Anders Persson2.   

Abstract

BACKGROUND: The significance of a coronary stenosis can be determined by measuring the fractional flow reserve (FFR) during invasive coronary angiography. Recently, methods have been developed which claim to be able to estimate FFR using image data from standard coronary computed tomography angiography (CCTA) exams.
PURPOSE: To evaluate the accuracy of non-invasively computed fractional flow reserve (cFFR) from CCTA.
MATERIAL AND METHODS: A total of 23 vessels in 21 patients who had undergone both CCTA and invasive angiography with FFR measurement were evaluated using a cFFR software prototype. The cFFR results were compared to the invasively obtained FFR values. Correlation was calculated using Spearman's rank correlation, and agreement using intraclass correlation coefficient (ICC). Sensitivity, specificity, accuracy, negative predictive value, and positive predictive value for significant stenosis (defined as both FFR ≤0.80 and FFR ≤0.75) were calculated.
RESULTS: The mean cFFR value for the whole group was 0.81 and the corresponding mean invFFR value was 0.84. The cFFR sensitivity for significant stenosis (FFR ≤0.80/0.75) on a per-lesion basis was 0.83/0.80, specificity was 0.76/0.89, and accuracy 0.78/0.87. The positive predictive value was 0.56/0.67 and the negative predictive value was 0.93/0.94. The Spearman rank correlation coefficient was ρ = 0.77 (P < 0.001) and ICC = 0.73 (P < 0.001).
CONCLUSION: This particular CCTA-based cFFR software prototype allows for a rapid, non-invasive on-site evaluation of cFFR. The results are encouraging and cFFR may in the future be of help in the triage to invasive coronary angiography. © The Foundation Acta Radiologica 2015.

Entities:  

Keywords:  Cardiac; adults; arteries; computed tomography angiography (CTA); computer applications – detection/diagnosis; heart

Mesh:

Year:  2015        PMID: 26691914     DOI: 10.1177/0284185115622075

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  14 in total

1.  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

2.  Fractional Flow Reserve Measurement by Computed Tomography: An Alternative to the Stress Test.

Authors:  Ji Hyun Lee; Bríain Ó Hartaigh; Donghee Han; Asim Rizvi; Fay Y Lin; James K Min
Journal:  Interv Cardiol       Date:  2016-10

Review 3.  Plaque imaging with CT-a comprehensive review on coronary CT angiography based risk assessment.

Authors:  Márton Kolossváry; Bálint Szilveszter; Béla Merkely; Pál Maurovich-Horvat
Journal:  Cardiovasc Diagn Ther       Date:  2017-10

Review 4.  Myocardial ischemia testing with computed tomography: emerging strategies.

Authors:  Prabhakar Rajiah; Christopher D Maroules
Journal:  Cardiovasc Diagn Ther       Date:  2017-10

Review 5.  Functional cardiac CT-Going beyond Anatomical Evaluation of Coronary Artery Disease with Cine CT, CT-FFR, CT Perfusion and Machine Learning.

Authors:  Joyce Peper; Dominika Suchá; Martin Swaans; Tim Leiner
Journal:  Br J Radiol       Date:  2020-08-12       Impact factor: 3.039

6.  Diagnostic Performance of On-Site Coronary CT Angiography-derived Fractional Flow Reserve Based on Patient-specific Lumped Parameter Models.

Authors:  Robbert W van Hamersvelt; Michiel Voskuil; Pim A de Jong; Martin J Willemink; Ivana Išgum; Tim Leiner
Journal:  Radiol Cardiothorac Imaging       Date:  2019-10-31

7.  Multimodal Multiparametric Three-dimensional Image Fusion in Coronary Artery Disease: Combining the Best of Two Worlds.

Authors:  Jochen von Spiczak; Manoj Mannil; Hanna Model; Chris Schwemmer; Sebastian Kozerke; Frank Ruschitzka; Hatem Alkadhi; Robert Manka
Journal:  Radiol Cardiothorac Imaging       Date:  2020-04-16

8.  A new CFD based non-invasive method for functional diagnosis of coronary stenosis.

Authors:  Xinzhou Xie; Minwen Zheng; Didi Wen; Yabing Li; Songyun Xie
Journal:  Biomed Eng Online       Date:  2018-03-22       Impact factor: 2.819

9.  Coronary CT angiography-based estimation of myocardial perfusion territories for coronary artery FFR and wall shear stress simulation.

Authors:  Yu-Fang Hsieh; Chih-Kuo Lee; Weichung Wang; Yu-Cheng Huang; Wen-Jeng Lee; Tzung-Dau Wang; Cheng-Ying Chou
Journal:  Sci Rep       Date:  2021-07-05       Impact factor: 4.379

Review 10.  Noninvasive fractional flow reserve derived from coronary computed tomography angiography for identification of ischemic lesions: a systematic review and meta-analysis.

Authors:  Wen Wu; Dao-Rong Pan; Nicolas Foin; Si Pang; Peng Ye; Niels Holm; Xiao-Min Ren; Jie Luo; Aravinda Nanjundappa; Shao-Liang Chen
Journal:  Sci Rep       Date:  2016-07-05       Impact factor: 4.379

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