Impact of Coronary Computerized Tomography Angiography-Derived Plaque Quantification and Machine-Lea...
Impact of Coronary Computerized Tomography Angiography-Derived Plaque Quantification and Machine-Learning Computerized Tomography Fractional Flow Reserve on Adverse Cardiac Outcome
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Author / Creator
von Knebel Doeberitz, Philipp L. , De Cecco, Carlo N. , Schoepf, U. Joseph , Albrecht, Moritz H. , van Assen, Marly , De Santis, Domenico , Gaskins, Jeffrey , Martin, Simon , Bauer, Maximilian J. , Ebersberger, Ullrich , Giovagnoli, Dante A. , Varga-Szemes, Akos , Bayer, Richard R. , Schönberg, Stefan O. and Tesche, Christian
Publisher
United States: Elsevier Inc
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Language
English
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Publisher
United States: Elsevier Inc
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Contents
This study investigated the impact of coronary CT angiography (cCTA)-derived plaque markers and machine-learning-based CT-derived fractional flow reserve (CT-FFR) to identify adverse cardiac outcome. Data of 82 patients (60 ± 11 years, 62% men) who underwent cCTA and invasive coronary angiography (ICA) were analyzed in this single-center retrospect...
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Full title
Impact of Coronary Computerized Tomography Angiography-Derived Plaque Quantification and Machine-Learning Computerized Tomography Fractional Flow Reserve on Adverse Cardiac Outcome
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TN_cdi_proquest_miscellaneous_2284565552
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2284565552
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ISSN
0002-9149
E-ISSN
1879-1913
DOI
10.1016/j.amjcard.2019.07.061