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Exploratory machine learning analysis to characterize angioscopic features associated with atherosclerosis-related aortic dissection: an exploratory single-center angioscopic study

AimAortic dissection (AD) is a life-threatening condition. Non-obstructive general angioscopy (NOGA) enables direct visualization of spontaneously ruptured aortic plaques and injuries (SRAPIs). This study evaluated the diagnostic potential and pathophysiological relevance of SRAPIs to AD.MethodsThis...

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Principais autores: Satoru Takahashi, Sei Komatsu, Chikao Yutani, Hiroyuki Nishi, Yoshiharu Higuchi, Nobuzo Iwa, Tomoki Ohara, Mitsuhiko Takewa, Kazuhisa Kodama
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2026-05-01
coleção:Frontiers in Cardiovascular Medicine
Assuntos:
aorta
aortic dissection
machine learning
non-obstructive general angioscopy
spontaneously ruptured aortic plaques and injuries (SRAPIs)
Acesso em linha:https://www.frontiersin.org/articles/10.3389/fcvm.2026.1784239/full
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