Risk Stratification in Acute Coronary Syndrome by Comprehensive Morphofunctional Assessment With Optical Coherence Tomography

BACKGROUND: Artificial intelligence enables simultaneous evaluation of plaque morphology and computational physiology from optical coherence tomography (OCT). OBJECTIVES: This study sought to appraise the predictive value of major adverse cardiovascular events (MACE) by combined plaque morphology an...

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Detalles Bibliográficos
Autores principales: Hong, Huihong, Jia, Haibo, Zeng, Ming, Gutiérrez-Chico, Juan Luis, Wang, Yini, Zeng, Xiaoling, Qin, Yuhan, Zhao, Chen, Chu, Miao, Huang, Jiayue, Liu, Lili, Hu, Sining, He, Luping, Chen, Lianglong, Wijns, William, Yu, Bo, Tu, Shengxian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9627809/
https://www.ncbi.nlm.nih.gov/pubmed/36339358
http://dx.doi.org/10.1016/j.jacasi.2022.03.004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9627809/
https://www.ncbi.nlm.nih.gov/pubmed/36339358
http://dx.doi.org/10.1016/j.jacasi.2022.03.004

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