Literature DB >> 33778519

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

Robbert W van Hamersvelt1, Michiel Voskuil1, Pim A de Jong1, Martin J Willemink1, Ivana Išgum1, Tim Leiner1.   

Abstract

PURPOSE: To evaluate the diagnostic performance of a prototype on-site coronary CT angiography-derived fractional flow reserve (CT FFR) algorithm, based on patient-specific lumped parameter models, for the detection of functionally significant stenosis defined by invasive FFR, and to compare the performance to anatomic evaluation of stenosis degree.
MATERIALS AND METHODS: In this retrospective feasibility study, 77 vessels in 57 patients (42 of 57 [74%]) men; mean age, 58.5 years ± 9.2 [standard deviation]) who underwent clinically indicated coronary CT angiography within 60 days prior to an invasive FFR measurement were analyzed. Invasive FFR less than or equal to 0.80 was used to indicate a functionally significant stenosis. Diagnostic performance of CT FFR was evaluated and compared with evaluation of stenosis degree. Analysis was performed on a per-vessel basis.
RESULTS: Invasive FFR revealed functionally significant stenoses in 37 vessels (48%). CT FFR showed a significantly increased ability to indicate functionally significant stenosis (area under the receiver operating characteristic curve [AUC], 0.87) compared with degree of stenosis at coronary CT angiography (AUC, 0.70; ΔAUC 0.17; P < .01). Using a cutoff of less than or equal to 0.80 for CT FFR and greater than or equal to 50% degree of stenosis at coronary CT angiography to indicate a significant stenosis, sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were 33 of 37 (89.2%), 31 of 40 (77.5%), 33 of 42 (78.6%), 31 of 35 (88.6%), and 64 of 77 (83.1%), respectively, for CT FFR, and 33 of 37 (89.2%), 17 of 40 (42.5%), 33 of 56 (58.9%), 17 of 21 (81.0%), and 50 of 77 (64.9%), respectively, for degree of stenosis at coronary CT angiography.
CONCLUSION: Diagnostic performance of on-site CT FFR was superior to stenosis evaluation at coronary CT angiography for identification of functionally significant coronary artery stenosis in patients suspected of having or known to have coronary artery disease.© RSNA, 2019See also commentary by Schoepf et al. 2019 by the Radiological Society of North America, Inc.

Entities:  

Year:  2019        PMID: 33778519      PMCID: PMC7977806          DOI: 10.1148/ryct.2019190036

Source DB:  PubMed          Journal:  Radiol Cardiothorac Imaging        ISSN: 2638-6135


  29 in total

1.  Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier.

Authors:  Jelmer M Wolterink; Robbert W van Hamersvelt; Max A Viergever; Tim Leiner; Ivana Išgum
Journal:  Med Image Anal       Date:  2018-10-22       Impact factor: 8.545

2.  FFR Derived From Coronary CT Angiography in Nonculprit Lesions of Patients With Recent STEMI.

Authors:  Sara Gaur; Charles A Taylor; Jesper M Jensen; Hans Erik Bøtker; Evald H Christiansen; Anne K Kaltoft; Niels R Holm; Jonathon Leipsic; Christopher K Zarins; Stephan Achenbach; Sophie Khem; Alan Wilk; Hiram G Bezerra; Jens F Lassen; Bjarne L Nørgaard
Journal:  JACC Cardiovasc Imaging       Date:  2016-10-12

3.  Quantitative computed tomographic coronary angiography: does it predict functionally significant coronary stenoses?

Authors:  Alexia Rossi; Stella-Lida Papadopoulou; Francesca Pugliese; Brunella Russo; Anoeshka S Dharampal; Admir Dedic; Pieter H Kitslaar; Alexander Broersen; W Bob Meijboom; Robert-Jan van Geuns; Andrew Wragg; Jurgen Ligthart; Carl Schultz; Steffen E Petersen; Koen Nieman; Gabriel P Krestin; Pim J de Feyter
Journal:  Circ Cardiovasc Imaging       Date:  2013-11-26       Impact factor: 7.792

4.  Coronary CT Angiography and 5-Year Risk of Myocardial Infarction.

Authors:  David E Newby; Philip D Adamson; Colin Berry; Nicholas A Boon; Marc R Dweck; Marcus Flather; John Forbes; Amanda Hunter; Stephanie Lewis; Scott MacLean; Nicholas L Mills; John Norrie; Giles Roditi; Anoop S V Shah; Adam D Timmis; Edwin J R van Beek; Michelle C Williams
Journal:  N Engl J Med       Date:  2018-08-25       Impact factor: 91.245

5.  Fractional flow reserve versus angiography for guidance of PCI in patients with multivessel coronary artery disease (FAME): 5-year follow-up of a randomised controlled trial.

Authors:  Lokien X van Nunen; Frederik M Zimmermann; Pim A L Tonino; Emanuele Barbato; Andreas Baumbach; Thomas Engstrøm; Volker Klauss; Philip A MacCarthy; Ganesh Manoharan; Keith G Oldroyd; Peter N Ver Lee; Marcel Van't Veer; William F Fearon; Bernard De Bruyne; Nico H J Pijls
Journal:  Lancet       Date:  2015-08-30       Impact factor: 79.321

6.  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

7.  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

8.  Diagnostic Accuracy of Computed Tomography-Derived Fractional Flow Reserve : A Systematic Review.

Authors:  Christopher M Cook; Ricardo Petraco; Matthew J Shun-Shin; Yousif Ahmad; Sukhjinder Nijjer; Rasha Al-Lamee; Yuetsu Kikuta; Yasutsugu Shiono; Jamil Mayet; Darrel P Francis; Sayan Sen; Justin E Davies
Journal:  JAMA Cardiol       Date:  2017-07-01       Impact factor: 14.676

9.  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

10.  Diagnostic performance of on-site CT-derived fractional flow reserve versus CT perfusion.

Authors:  Dong Hyun Yang; Young-Hak Kim; Jae Hyung Roh; Joon-Won Kang; Jung-Min Ahn; Jihoon Kweon; Jung Bok Lee; Seong Hoon Choi; Eun-Seok Shin; Duk-Woo Park; Soo-Jin Kang; Seung-Whan Lee; Cheol Whan Lee; Seong-Wook Park; Seung-Jung Park; Tae-Hwan Lim
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2017-04-01       Impact factor: 6.875

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  5 in total

Review 1.  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

Review 2.  [Beyond Coronary CT Angiography: CT Fractional Flow Reserve and Perfusion].

Authors:  Moon Young Kim; Dong Hyun Yang; Ki Seok Choo; Whal Lee
Journal:  Taehan Yongsang Uihakhoe Chi       Date:  2022-01-21

Review 3.  Computed tomographic evaluation of myocardial ischemia.

Authors:  Yuki Tanabe; Akira Kurata; Takuya Matsuda; Kazuki Yoshida; Dhiraj Baruah; Teruhito Kido; Teruhito Mochizuki; Prabhakar Rajiah
Journal:  Jpn J Radiol       Date:  2020-02-05       Impact factor: 2.374

Review 4.  Fractional Flow Reserve: Patient Selection and Perspectives.

Authors:  Joyce Peper; Leonie M Becker; Jan-Peter van Kuijk; Tim Leiner; Martin J Swaans
Journal:  Vasc Health Risk Manag       Date:  2021-12-14

5.  Diagnostic accuracy of on-site coronary computed tomography-derived fractional flow reserve in the diagnosis of stable coronary artery disease.

Authors:  J Peper; J Schaap; B J W M Rensing; J C Kelder; M J Swaans
Journal:  Neth Heart J       Date:  2021-12-15       Impact factor: 2.380

  5 in total

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