CT-Based Radiomics Showing Generalization to Predict Tumor Regression Grade for Advanced Gastric Cancer Treated With Neoadjuvant Chemotherapy

CT-Based Radiomics Showing Generalization to Predict Tumor Regression Grade for Advanced Gastric Cancer Treated With Neoadjuvant Chemotherapy

ObjectiveThe aim of this study was to develop and validate a radiomics model to predict treatment response in patients with advanced gastric cancer (AGC) sensitive to neoadjuvant therapies and verify its generalization among different regimens, including neoadjuvant chemotherapy (NAC) and molecular...

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Bibliographic Details
Main Authors: Yong Chen, Wei Xu, Yan-Ling Li, Wentao Liu, Birendra Kumar Sah, Lan Wang, Zhihan Xu, Michael Wels, Yanan Zheng, Min Yan, Huan Zhang, Qianchen Ma, Zhenggang Zhu, Chen Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-02-01
Series:Frontiers in Oncology
Subjects:
radiomics
gastric cancer
neoadjuvant therapy
tumor regression grade
generalization
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.758863/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2022.758863/full

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