Comparison of Machine Learning Computed Tomography-Based Fractional Flow Reserve and Coronary CT Angiography-Derived Plaque Characteristics with Invasive Resting Full-Cycle Ratio

Background: The aim is to compare the machine learning-based coronary-computed tomography fractional flow reserve (CT-FFR(ML)) and coronary-computed tomographic morphological plaque characteristics with the resting full-cycle ratio (RFR(TM)) as a novel invasive resting pressure-wire index for detect...

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Detalles Bibliográficos
Autores principales: Baumann, Stefan, Hirt, Markus, Rott, Christina, Özdemir, Gökce H., Tesche, Christian, Becher, Tobias, Weiss, Christel, Hetjens, Svetlana, Akin, Ibrahim, Schoenberg, Stefan O., Borggrefe, Martin, Janssen, Sonja, Overhoff, Daniel, Lossnitzer, Dirk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141220/
https://www.ncbi.nlm.nih.gov/pubmed/32155743
http://dx.doi.org/10.3390/jcm9030714

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141220/
https://www.ncbi.nlm.nih.gov/pubmed/32155743
http://dx.doi.org/10.3390/jcm9030714

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