Código QR

Multi-cohort study in gastric cancer to develop CT-based radiomic models to predict pathological response to neoadjuvant immunotherapy

Abstract Background Neoadjuvant immunotherapy has been shown to improve survival in patients with gastric cancer. This study sought to develop and validate a radiomics-based machine learning (ML) model for patients with locally advanced gastric cancer (LAGC), specifically to predict whether patients...

Descrición completa

Gardado en:
Principais autores: Ze-Ning Huang, Hao-Xiang Zhang, Yu-Qin Sun, Xing-Qi Zhang, Yi-Fen Lin, Cai-Ming Weng, Chao-Hui Zheng, Ping-Li, Jia-Bin Wang, Qi-Yue Chen, Long-Long Cao, Mi Lin, Ru-Hong Tu, Chang-Ming Huang, Jian-Xian Lin, Jian-Wei Xie
Formato: Artigo
Idioma:Inglês
Publicado: BMC 2025-03-01
Series:Journal of Translational Medicine
Assuntos:
Radiomics
Machine learning
Neoadjuvant therapy
Immunotherapy
Prediction model
Acceso en liña:https://doi.org/10.1186/s12967-025-06363-z
Tags: Engadir etiqueta
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!

Títulos similares