In vivo detection of plaque erosion by intravascular optical coherence tomography using artificial intelligence.
Biomed Opt Express
; 13(7): 3922-3938, 2022 Jul 01.
Article
em En
| MEDLINE
| ID: mdl-35991920
ABSTRACT
Plaque erosion is one of the most common underlying mechanisms for acute coronary syndrome (ACS). Optical coherence tomography (OCT) allows in vivo diagnosis of plaque erosion. However, challenge remains due to high inter- and intra-observer variability. We developed an artificial intelligence method based on deep learning for fully automated detection of plaque erosion in vivo, which achieved a recall of 0.800 ± 0.175, a precision of 0.734 ± 0.254, and an area under the precision-recall curve (AUC) of 0.707. Our proposed method is in good agreement with physicians, and can help improve the clinical diagnosis of plaque erosion and develop individualized treatment strategies for optimal management of ACS patients.
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Bases de dados:
MEDLINE
Tipo de estudo:
Diagnostic_studies
Idioma:
En
Revista:
Biomed Opt Express
Ano de publicação:
2022
Tipo de documento:
Article
País de afiliação:
China