Optical coherence tomography-based machine learning for predicting fractional flow reserve in intermediate coronary stenosis: a feasibility study

Machine learning approaches using intravascular optical coherence tomography (OCT) to predict fractional flow reserve (FFR) have not been investigated. Both OCT and FFR data were obtained for left anterior descending artery lesions in 125 patients. Training and testing groups were partitioned in the...

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Detalles Bibliográficos
Autores principales: Cha, Jung-Joon, Son, Tran Dinh, Ha, Jinyong, Kim, Jung-Sun, Hong, Sung-Jin, Ahn, Chul-Min, Kim, Byeong-Keuk, Ko, Young-Guk, Choi, Donghoon, Hong, Myeong-Ki, Jang, Yangsoo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7686372/
https://www.ncbi.nlm.nih.gov/pubmed/33235309
http://dx.doi.org/10.1038/s41598-020-77507-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7686372/
https://www.ncbi.nlm.nih.gov/pubmed/33235309
http://dx.doi.org/10.1038/s41598-020-77507-y

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