Integrated prediction of lesion-specific ischemia from quantitative coronary CT Angiography using machine learning: a multicenter study

OBJECTIVES: We aimed to investigate if lesion-specific ischemia by invasive fractional flow reserve (FFR) can be predicted by an integrated machine learning (ML) ischemia risk score from quantitative plaque measures from coronary Computed Tomography Angiography (CTA). METHODS: In a multicenter trial...

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Detalhes bibliográficos
Publicado no:Eur Radiol
Main Authors: Dey, Damini, Gaur, Sara, Ovrehus, Kristian A, Slomka, Piotr J, Betancur, Julian, Goeller, Markus, Hell, Michaela M, Gransar, Heidi, Berman, Daniel S, Achenbach, Stephan, Botker, Hans Erik, Jensen, Jesper Moller, Lassen, Jens Flensted, Norgaard, Bjarne Linde
Formato: Artigo
Idioma:Inglês
Publicado em: 2018
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5940537/
https://ncbi.nlm.nih.gov/pubmed/29352380
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00330-017-5223-z
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