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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Detaylı Bibliyografya
Asıl Yazarlar:	Jia-Ling Wang, Lian-Sha Tang, Xia Zhong, Yi Wang, Yu-Jie Feng, Yun Zhang, Ji-Yan Liu
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	Frontiers Media S.A. 2024-06-01
Seri Bilgileri:	Frontiers in Immunology
Konular:	neoadjuvant immunotherapy esophageal squamous cell cancer major pathological response radiomics computed tomography
Online Erişim:	https://www.frontiersin.org/articles/10.3389/fimmu.2024.1405146/full
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A machine learning radiomics based on enhanced computed tomography to predict neoadjuvant immunotherapy for resectable esophageal squamous cell carcinoma

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