Development and validation of a lung graph–based machine learning model to predict acute pulmonary thromboembolism on chest noncontrast computed tomography

BACKGROUND: Computed tomography pulmonary angiography (CTPA) is a first-line noninvasive method to diagnose acute pulmonary thromboembolism (APE); however, whether chest noncontrast CT (NC-CT) could aid in the diagnosis of APE remains unknown. The aim of this study was to build and evaluate a holist...

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Detalles Bibliográficos
Autores principales: Deng, Mei, Liu, Anqi, Kang, Han, Xi, Linfeng, Yu, Pengxin, Xu, Wenqing, Yang, Haoyu, Xie, Wanmu, Liu, Min, Zhang, Rongguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585544/
https://www.ncbi.nlm.nih.gov/pubmed/37869274
http://dx.doi.org/10.21037/qims-22-1059

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585544/
https://www.ncbi.nlm.nih.gov/pubmed/37869274
http://dx.doi.org/10.21037/qims-22-1059

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