Coronary CT Angiography–derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics Modeling
Christian Tesche,Carlo N. De Cecco,Stefan Baumann,Matthias Renker,Tindal W. McLaurin,Taylor M. Duguay,Richard R. Bayer nd,Daniel H. Steinberg,Katharine Grant,Christian Canstein,Chris Schwemmer,Max Schoebinger,Lucian Mihai Itu,Saikiran Rapaka,Puneet Sharma,U. Joseph Schoepf +15 more
TLDR
The FFRML algorithm performs equally in detecting lesion-specific ischemia when compared with the FFRCFD approach, and both methods outperform accuracy of coronary CT angiography and QCA in the detection of flow-limiting stenosis.Abstract:
The results demonstrate that coronary CT angiography–derived fractional flow reserve using machine learning performs equally to computational fluid dynamics modeling in detecting lesion-specific ischemia; both algorithms outperform coronary CT angiography alone and quantitative coronary angiography.read more
Citations
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Journal ArticleDOI
Artificial Intelligence in Cardiovascular Imaging: JACC State-of-the-Art Review.
Damini Dey,Piotr J. Slomka,Paul Leeson,Dorin Comaniciu,Sirish Shrestha,Partho P. Sengupta,Thomas H. Marwick +6 more
TL;DR: Recent promising applications of AI in cardiology and cardiac imaging, which potentially add value to patient care are summarized.
Posted Content
Integrating Physics-Based Modeling with Machine Learning: A Survey
TL;DR: An overview of techniques to integrate machine learning with physics-based modeling and classes of methodologies used to construct physics-guided machine learning models and hybrid physics-machine learning frameworks from a machine learning standpoint is provided.
Journal ArticleDOI
Coronary Computed Tomography Angiography From Clinical Uses to Emerging Technologies: JACC State-of-the-Art Review
Khaled Abdelrahman,Marcus Y. Chen,Amit K. Dey,Renu Virmani,Aloke V. Finn,Ramzi Khamis,Andrew D. Choi,James K. Min,Michelle C. Williams,Andrew J. Buckler,Charles A. Taylor,Campbell Rogers,Habib Samady,Charalambos Antoniades,Leslee J. Shaw,Matthew J. Budoff,Udo Hoffmann,Ron Blankstein,Jagat Narula,Nehal N. Mehta +19 more
TL;DR: Evidence increasingly supports the clinical utility of CCTA across various stages of CAD, from the detection of early subclinical disease to the assessment of acute chest pain, and it can be used to noninvasively quantify plaque burden and identify high-risk plaque, aiding in diagnosis, prognosis, and treatment.
Journal ArticleDOI
Machine learning in cardiac CT: Basic concepts and contemporary data
Gurpreet Singh,Subhi J. Al'Aref,Marly van Assen,Timothy Suyong Kim,Alexander R. van Rosendael,Kranthi K. Kolli,Aeshita Dwivedi,Gabriel Maliakal,Mohit Pandey,Jing Wang,Virginie Do,Manasa Gummalla,Carlo N. De Cecco,James K. Min +13 more
TL;DR: The purpose of this review is to describe the contemporary state of ML based algorithms applied to cardiac CT, as well as to provide clinicians with an understanding of its benefits and associated limitations.
Journal ArticleDOI
Influence of Coronary Calcium on Diagnostic Performance of Machine Learning CT-FFR: Results From MACHINE Registry.
Christian Tesche,Katharina Otani,Carlo N. De Cecco,Adriaan Coenen,Jakob De Geer,Mariusz Kruk,Young-Hak Kim,Moritz H. Albrecht,Stefan Baumann,Matthias Renker,Richard R. Bayer,Taylor M. Duguay,Sheldon E. Litwin,Akos Varga-Szemes,Daniel H. Steinberg,Dong Hyun Yang,Cezary Kępka,Anders Persson,Koen Nieman,U. Joseph Schoepf +19 more
TL;DR: Investigation of the influence of coronary artery calcium (CAC) score on the diagnostic performance of machine-learning-based coronary computed tomography (CT) angiography (cCTA)-derived fractional flow reserve (CT-FFR) showed superior diagnostic performance over cCTA alone in CAC with a significant difference in the performance of CT- FFR as calcium burden/Agatston calcium score increased.
References
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Journal ArticleDOI
2013 ESC guidelines on the management of stable coronary artery disease: the Task Force on the management of stable coronary artery disease of the European Society of Cardiology.
Gilles Montalescot,Udo Sechtem,Stephan Achenbach,Felicita Andreotti,Chris Arden,Andrzej Budaj,Raffaele Bugiardini,Filippo Crea,Thomas Cuisset,Carlo Di Mario,J. Rafael Ferreira,Bernard J. Gersh,Anselm K. Gitt,Jean-Sébastien Hulot,Nikolaus Marx,Lionel H. Opie,Matthias Pfisterer,Eva Prescott,Frank Ruschitzka,Manel Sabaté,Roxy Senior,David P. Taggart,Ernst E. van der Wall,Christiaan J. Vrints,José Luis Zamorano,Helmut Baumgartner,Jeroen J. Bax,Héctor Bueno,Veronica Dean,Christi Deaton,Çetin Erol,Robert Fagard,Roberto Ferrari,David Hasdai,Arno W. Hoes,Paulus Kirchhof,Juhani Knuuti,Philippe Kolh,Patrizio Lancellotti,Aleš Linhart,Petros Nihoyannopoulos,Massimo F Piepoli,Piotr Ponikowski,Per Anton Sirnes,Juan Tamargo,Michal Tendera,Adam Torbicki,William Wijns,Stephan Windecker,Marco Valgimigli,Marc J. Claeys,Norbert Donner-Banzhoff,Herbert Frank,Christian Funck-Brentano,Oliver Gaemperli,José Ramón González-Juanatey,Michalis Hamilos,Steen Husted,Stefan James,Kari Kervinen,Steen Dalby Kristensen,Aldo P. Maggioni,Axel R. Pries,Francesco Romeo,Lars Rydén,Maarten L. Simoons,Ph. Gabriel Steg,Adam Timmis,Aylin Yildirir +68 more
TL;DR: The If Inhibitor Ivabradine in Patients With Coronary Artery Disease and Left Ventricular Dysfunction is evaluated as well as patients with Diabetes mellitus for Optimal management of Multivessel disease.
Journal ArticleDOI
Diagnosis of Ischemia-Causing Coronary Stenoses by Noninvasive Fractional Flow Reserve Computed From Coronary Computed Tomographic Angiograms : Results From the Prospective Multicenter DISCOVER-FLOW (Diagnosis of Ischemia-Causing Stenoses Obtained Via Noninvasive Fractional Flow Reserve) Study
Bon-Kwon Koo,Andrejs Erglis,Joon Hyung Doh,David V. Daniels,Sanda Jegere,Hyo-Soo Kim,Allison Dunning,Tony DeFrance,Alexandra J. Lansky,Jonathan Leipsic,James K. Min +10 more
TL;DR: Noninvasive FFR derived from CCTA is a novel method with high diagnostic performance for the detection and exclusion of coronary lesions that cause ischemia.
Journal ArticleDOI
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).
Bjarne L. Nørgaard,Jonathon Leipsic,Sara Gaur,Sujith Seneviratne,Brian Ko,Hiroshi Ito,Jesper M. Jensen,Laura Mauri,Bernard De Bruyne,Hiram G. Bezerra,Kazuhiro Osawa,Mohamed Marwan,Christoph Naber,Andrejs Erglis,Seung-Jung Park,Evald Høj Christiansen,Anne Kaltoft,Jens Flensted Lassen,Hans Erik Bøtker,Stephan Achenbach +19 more
TL;DR: In this paper, the diagnostic performance of noninvasive fractional flow reserve (FFR) derived from standard acquired coronary computed tomography angiography (CTA) datasets for the diagnosis of myocardial ischemia in patients with suspected stable coronary artery disease (CAD) was evaluated.
Journal ArticleDOI
Computational Fluid Dynamics Applied to Cardiac Computed Tomography for Noninvasive Quantification of Fractional Flow Reserve: Scientific Basis
TL;DR: FFR derived from CTA was demonstrated as superior to measures of CTA stenosis severity for determination of lesion-specific ischemia, and a review on the scientific principles that underlie this technology is presented.
Journal ArticleDOI
Diagnostic Accuracy of Fractional Flow Reserve From Anatomic CT Angiography
James K. Min,Jonathon Leipsic,Michael J. Pencina,Daniel S. Berman,Bon-Kwon Koo,Carlos Van Mieghem,Andrejs Erglis,Fay Y. Lin,Allison Dunning,Patricia Apruzzese,Matthew J. Budoff,Jason H. Cole,Farouc A. Jaffer,Martin B. Leon,Martin B. Leon,Jennifer Malpeso,G.B. John Mancini,Seung-Jung Park,Robert S. Schwartz,Leslee J. Shaw,Laura Mauri +20 more
TL;DR: Although the study did not achieve its prespecified primary outcome goal for the level of per-patient diagnostic accuracy, use of noninvasive FFR(CT) plus CT among stable patients with suspected or known CAD was associated with improved diagnostic accuracy and discrimination vs CT alone for the diagnosis of hemodynamically significant coronary stenosis.
Related Papers (5)
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).
Bjarne L. Nørgaard,Jonathon Leipsic,Sara Gaur,Sujith Seneviratne,Brian Ko,Hiroshi Ito,Jesper M. Jensen,Laura Mauri,Bernard De Bruyne,Hiram G. Bezerra,Kazuhiro Osawa,Mohamed Marwan,Christoph Naber,Andrejs Erglis,Seung-Jung Park,Evald Høj Christiansen,Anne Kaltoft,Jens Flensted Lassen,Hans Erik Bøtker,Stephan Achenbach +19 more
Diagnostic Accuracy of Fractional Flow Reserve From Anatomic CT Angiography
James K. Min,Jonathon Leipsic,Michael J. Pencina,Daniel S. Berman,Bon-Kwon Koo,Carlos Van Mieghem,Andrejs Erglis,Fay Y. Lin,Allison Dunning,Patricia Apruzzese,Matthew J. Budoff,Jason H. Cole,Farouc A. Jaffer,Martin B. Leon,Martin B. Leon,Jennifer Malpeso,G.B. John Mancini,Seung-Jung Park,Robert S. Schwartz,Leslee J. Shaw,Laura Mauri +20 more