Novel insights into predicting the presence of micropapillary and solid components in stage IA lung adenocarcinoma using machine learning models of modifiable risk factors

Background Lung adenocarcinoma (LUAC) patients with micropapillary (MP) and/or solid (S) generally demonstrate a poorer survival prognosis. In the diagnosis and treatment of stage IA LUAC, precisely establishing personalized treatment strategies for patients is crucial for both clinical practice and...

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Detalhes bibliográficos

Principais autores:	Xiuzhi Li, Zirui Huang, Ningbo Fan, Han Yang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Taylor & Francis Group 2025-12-01
Colecção:	Annals of Medicine
Assuntos:	Lung adenocarcinoma micropapillary adenocarcinoma solid adenocarcinoma prediction model machine learning
Acesso em linha:	https://www.tandfonline.com/doi/10.1080/07853890.2025.2590850
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