Voxel-level radiomics and deep learning for predicting pathologic complete response in esophageal squamous cell carcinoma after neoadjuvant immunotherapy and chemotherapy

Voxel-level radiomics and deep learning for predicting pathologic complete response in esophageal squamous cell carcinoma after neoadjuvant immunotherapy and chemotherapy

Background Accurate prediction of pathologic complete response (pCR) following neoadjuvant immunotherapy combined with chemotherapy (nICT) is crucial for tailoring patient care in esophageal squamous cell carcinoma (ESCC). This study aimed to develop and validate a deep learning model using a novel...

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Main Authors: Inigo Bermejo, Jian Zheng, Zhen Zhang, Jian Zeng, Min Fang, Leonard Wee, Andre Dekker, Tianchen Luo, Meng Yan, Haixia Shen, Kaiyi Tao, Jingping Yuan, Dirk De Ruysscher, Wencheng Zhang, Youhua Jiang, Yongling Ji
Format: Article
Language:English
Published: BMJ Publishing Group 2025-03-01
Series:Journal for ImmunoTherapy of Cancer
Online Access:https://jitc.bmj.com/content/13/3/e011149.full
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https://jitc.bmj.com/content/13/3/e011149.full

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