Literature DB >> 32166492

Impact of machine-learning CT-derived fractional flow reserve for the diagnosis and management of coronary artery disease in the randomized CRESCENT trials.

Fay M A Nous1,2, Ricardo P J Budde1,2, Marisa M Lubbers1,2, Yuzo Yamasaki3, Isabella Kardys1, Tobias A Bruning4, Jurgen M Akkerhuis5, Marcel J M Kofflard6, Bas Kietselaer7, Tjebbe W Galema1, Koen Nieman8,9,10.   

Abstract

OBJECTIVE: To determine the potential impact of on-site CT-derived fractional flow reserve (CT-FFR) on the diagnostic efficiency and effectiveness of coronary CT angiography (CCTA) in patients with obstructive coronary artery disease (CAD) on CCTA.
METHODS: This observational cohort study included patients with suspected CAD who had been randomized to cardiac CT in the CRESCENT I and II trials. On-site CT-FFR was blindly performed in all patients with at least one ≥ 50% stenosis on CCTA and no exclusion criteria for CT-FFR. We retrospectively assessed the effect of adding CT-FFR to the CT protocol in patients with a stenosis ≥ 50% on CCTA in terms of diagnostic effectiveness, i.e., the number of additional tests required to determine the final diagnosis, reclassification of the initial management strategy, and invasive coronary angiography (ICA) efficiency, i.e., ICA rate without ≥ 50% CAD.
RESULTS: Fifty-three patients out of the 372 patients (14%) had at least one ≥ 50% stenosis on CCTA of whom 42/53 patients (79%) had no exclusion criteria for CT-FFR. CT-FFR showed a hemodynamically significant stenosis (≤ 0.80) in 27/53 patients (51%). The availability of CT-FFR would have reduced the number of patients requiring additional testing by 57%-points compared with CCTA alone (37/53 vs. 7/53, p < 0.001). The initial management strategy would have changed for 30 patients (57%, p < 0.001). Reserving ICA for patients with a CT-FFR ≤ 0.80 would have reduced the number of ICA following CCTA by 13%-points (p = 0.016).
CONCLUSION: Implementation of on-site CT-FFR may change management and improve diagnostic efficiency and effectiveness in patients with obstructive CAD on CCTA. KEY POINTS: • The availability of on-site CT-FFR in the diagnostic evaluation of patients with obstructive CAD on CCTA would have significantly reduced the number of patients requiring additional testing compared with CCTA alone. • The implementation of on-site CT-FFR would have changed the initial management strategy significantly in the patients with obstructive CAD on CCTA. • Restricting ICA to patients with a positive CT-FFR would have significantly reduced the ICA rate in patients with obstructive CAD on CCTA.

Entities:  

Keywords:  Computed tomography angiography; Coronary artery disease; Myocardial fractional flow reserve; Myocardial ischemia; Myocardial perfusion imaging

Mesh:

Year:  2020        PMID: 32166492      PMCID: PMC8862271          DOI: 10.1007/s00330-020-06778-w

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  33 in total

1.  Coronary CT angiography-derived plaque quantification with artificial intelligence CT fractional flow reserve for the identification of lesion-specific ischemia.

Authors:  Philipp L von Knebel Doeberitz; Carlo N De Cecco; U Joseph Schoepf; Taylor M Duguay; Moritz H Albrecht; Marly van Assen; Maximilian J Bauer; Rock H Savage; J Trent Pannell; Domenico De Santis; Addison A Johnson; Akos Varga-Szemes; Richard R Bayer; Stefan O Schönberg; John W Nance; Christian Tesche
Journal:  Eur Radiol       Date:  2018-12-06       Impact factor: 5.315

2.  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

3.  Clinical Use of Coronary CTA-Derived FFR for Decision-Making in Stable CAD.

Authors:  Bjarne L Nørgaard; Jakob Hjort; Sara Gaur; Nicolaj Hansson; Hans Erik Bøtker; Jonathon Leipsic; Ole N Mathiassen; Erik L Grove; Kamilla Pedersen; Evald H Christiansen; Anne Kaltoft; Lars C Gormsen; Michael Mæng; Christian J Terkelsen; Steen D Kristensen; Lars R Krusell; Jesper M Jensen
Journal:  JACC Cardiovasc Imaging       Date:  2016-04-13

4.  Outcomes of anatomical versus functional testing for coronary artery disease.

Authors:  Pamela S Douglas; Udo Hoffmann; Manesh R Patel; Daniel B Mark; Hussein R Al-Khalidi; Brendan Cavanaugh; Jason Cole; Rowena J Dolor; Christopher B Fordyce; Megan Huang; Muhammad Akram Khan; Andrzej S Kosinski; Mitchell W Krucoff; Vinay Malhotra; Michael H Picard; James E Udelson; Eric J Velazquez; Eric Yow; Lawton S Cooper; Kerry L Lee
Journal:  N Engl J Med       Date:  2015-03-14       Impact factor: 91.245

5.  Coronary CT Angiography-derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics Modeling.

Authors:  Christian Tesche; Carlo N De Cecco; Stefan Baumann; Matthias Renker; Tindal W McLaurin; Taylor M Duguay; Richard R Bayer; Daniel H Steinberg; Katharine L Grant; Christian Canstein; Chris Schwemmer; Max Schoebinger; Lucian M Itu; Saikiran Rapaka; Puneet Sharma; U Joseph Schoepf
Journal:  Radiology       Date:  2018-04-10       Impact factor: 11.105

6.  Diagnostic performance of 64-multidetector row coronary computed tomographic angiography for evaluation of coronary artery stenosis in individuals without known coronary artery disease: results from the prospective multicenter ACCURACY (Assessment by Coronary Computed Tomographic Angiography of Individuals Undergoing Invasive Coronary Angiography) trial.

Authors:  Matthew J Budoff; David Dowe; James G Jollis; Michael Gitter; John Sutherland; Edward Halamert; Markus Scherer; Raye Bellinger; Arthur Martin; Robert Benton; Augustin Delago; James K Min
Journal:  J Am Coll Cardiol       Date:  2008-11-18       Impact factor: 24.094

7.  Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in suspected coronary artery disease: the NXT trial (Analysis of Coronary Blood Flow Using CT Angiography: Next Steps).

Authors:  Bjarne L Nørgaard; Jonathon Leipsic; Sara Gaur; Sujith Seneviratne; Brian S Ko; Hiroshi Ito; Jesper M Jensen; Laura Mauri; Bernard De Bruyne; Hiram Bezerra; Kazuhiro Osawa; Mohamed Marwan; Christoph Naber; Andrejs Erglis; Seung-Jung Park; Evald H Christiansen; Anne Kaltoft; Jens F Lassen; Hans Erik Bøtker; Stephan Achenbach
Journal:  J Am Coll Cardiol       Date:  2014-01-30       Impact factor: 24.094

8.  Computed tomography derived fractional flow reserve testing in stable patients with typical angina pectoris: influence on downstream rate of invasive coronary angiography.

Authors:  Jesper Møller Jensen; Hans Erik Bøtker; Ole Norling Mathiassen; Erik Lerkevang Grove; Kristian Altern Øvrehus; Kamilla Bech Pedersen; Christian Juhl Terkelsen; Evald Høj Christiansen; Michael Maeng; Jonathon Leipsic; Anne Kaltoft; Lars Jakobsen; Jacob Thorsted Sørensen; Troels Thim; Steen Dalby Kristensen; Lars Romer Krusell; Bjarne Linde Nørgaard
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2018-04-01       Impact factor: 6.875

9.  Clinical outcomes of fractional flow reserve by computed tomographic angiography-guided diagnostic strategies vs. usual care in patients with suspected coronary artery disease: the prospective longitudinal trial of FFR(CT): outcome and resource impacts study.

Authors:  Pamela S Douglas; Gianluca Pontone; Mark A Hlatky; Manesh R Patel; Bjarne L Norgaard; Robert A Byrne; Nick Curzen; Ian Purcell; Matthias Gutberlet; Gilles Rioufol; Ulrich Hink; Herwig Walter Schuchlenz; Gudrun Feuchtner; Martine Gilard; Daniele Andreini; Jesper M Jensen; Martin Hadamitzky; Karen Chiswell; Derek Cyr; Alan Wilk; Furong Wang; Campbell Rogers; Bernard De Bruyne
Journal:  Eur Heart J       Date:  2015-09-01       Impact factor: 29.983

10.  Real-world clinical utility and impact on clinical decision-making of coronary computed tomography angiography-derived fractional flow reserve: lessons from the ADVANCE Registry.

Authors:  Timothy A Fairbairn; Koen Nieman; Takashi Akasaka; Bjarne L Nørgaard; Daniel S Berman; Gilbert Raff; Lynne M Hurwitz-Koweek; Gianluca Pontone; Tomohiro Kawasaki; Niels Peter Sand; Jesper M Jensen; Tetsuya Amano; Michael Poon; Kristian Øvrehus; Jeroen Sonck; Mark Rabbat; Sarah Mullen; Bernard De Bruyne; Campbell Rogers; Hitoshi Matsuo; Jeroen J Bax; Jonathon Leipsic; Manesh R Patel
Journal:  Eur Heart J       Date:  2018-11-01       Impact factor: 29.983

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  5 in total

1.  Addition of FFRct in the diagnostic pathway of patients with stable chest pain to reduce unnecessary invasive coronary angiography (FUSION) : Rationale and design for the multicentre, randomised, controlled FUSION trial.

Authors:  S P Sharma; A Hirsch; M G M Hunink; M J M Cramer; F A A Mohamed Hoesein; C A Geluk; G Kramer; J W C Gratama; R L Braam; P M van der Zee; W Yassi; S L Wolters; C Gürlek; G Pundziute; R Vliegenthart; R P J Budde
Journal:  Neth Heart J       Date:  2022-08-17       Impact factor: 2.854

2.  The use of lesion-specific calcium morphology to guide the appropriate use of dynamic CT myocardial perfusion imaging and CT fractional flow reserve.

Authors:  Xu Dai; Zhigang Lu; Yarong Yu; Lihua Yu; Hao Xu; Jiayin Zhang
Journal:  Quant Imaging Med Surg       Date:  2022-02

Review 3.  Current and Future Applications of Artificial Intelligence in Coronary Artery Disease.

Authors:  Nitesh Gautam; Prachi Saluja; Abdallah Malkawi; Mark G Rabbat; Mouaz H Al-Mallah; Gianluca Pontone; Yiye Zhang; Benjamin C Lee; Subhi J Al'Aref
Journal:  Healthcare (Basel)       Date:  2022-01-26

4.  Diagnostic performance of coronary computed tomography angiography-derived fractional flow reverse in lesion-specific ischemia patients with different Gensini score levels.

Authors:  Mengya Dong; Chen Li; Guang Yang; Qiling Gou; Qinghua Zhao; Yuqi Liu; Xiling Shou
Journal:  Ann Transl Med       Date:  2022-04

5.  Prevalence of pathological FFRCT values without coronary artery stenosis in an asymptomatic marathon runner cohort.

Authors:  Sebastian Gassenmaier; Ilias Tsiflikas; Simon Greulich; Jens Kuebler; Florian Hagen; Konstantin Nikolaou; Andreas M Niess; Christof Burgstahler; Patrick Krumm
Journal:  Eur Radiol       Date:  2021-05-26       Impact factor: 5.315

  5 in total

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