Additional Value of Machine-Learning Computed Tomographic Angiography-Based Fractional Flow Reserve Compared to Standard Computed Tomographic Angiography

Background: Machine-learning-based computed-tomography-derived fractional flow reserve (CT-FFR(ML)) obtains a hemodynamic index in coronary arteries. We examined whether it could reduce the number of invasive coronary angiographies (ICA) showing no obstructive lesions. We further compared CT-FFR(ML)...

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Detalles Bibliográficos
Autores principales: Lossnitzer, Dirk, Chandra, Leonard, Rutsch, Marlon, Becher, Tobias, Overhoff, Daniel, Janssen, Sonja, Weiss, Christel, Borggrefe, Martin, Akin, Ibrahim, Pfleger, Stefan, Baumann, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141259/
https://www.ncbi.nlm.nih.gov/pubmed/32138259
http://dx.doi.org/10.3390/jcm9030676

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141259/
https://www.ncbi.nlm.nih.gov/pubmed/32138259
http://dx.doi.org/10.3390/jcm9030676

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