A machine learning radiomics based on enhanced computed tomography to predict neoadjuvant immunotherapy for resectable esophageal squamous cell carcinoma

BackgroundPatients with resectable esophageal squamous cell carcinoma (ESCC) receiving neoadjuvant immunotherapy (NIT) display variable treatment responses. The purpose of this study is to establish and validate a radiomics based on enhanced computed tomography (CT) and combined with clinical data t...

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Detalles Bibliográficos

Principais autores:	Jia-Ling Wang, Lian-Sha Tang, Xia Zhong, Yi Wang, Yu-Jie Feng, Yun Zhang, Ji-Yan Liu
Formato:	Artigo
Idioma:	Inglês
Publicado:	Frontiers Media S.A. 2024-06-01
Series:	Frontiers in Immunology
Assuntos:	neoadjuvant immunotherapy esophageal squamous cell cancer major pathological response radiomics computed tomography
Acceso en liña:	https://www.frontiersin.org/articles/10.3389/fimmu.2024.1405146/full
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