An MRI‐based machine learning radiomics can predict short‐term response to neoadjuvant chemotherapy in patients with cervical squamous cell carcinoma: A multicenter study

An MRI‐based machine learning radiomics can predict short‐term response to neoadjuvant chemotherapy in patients with cervical squamous cell carcinoma: A multicenter study

Abstract Background and Purpose Neoadjuvant chemotherapy (NACT) has become an essential component of the comprehensive treatment of cervical squamous cell carcinoma (CSCC). However, not all patients respond to chemotherapy due to individual differences in sensitivity and tolerance to chemotherapy dr...

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Bibliographic Details
Main Authors: Zhonghong Xin, Wanying Yan, Yibo Feng, Li Yunzhi, Yaping Zhang, Dawei Wang, Weidao Chen, Jianhong Peng, Cheng Guo, Zixian Chen, Xiaohui Wang, Jun Zhu, Junqiang Lei
Format: Article
Language:English
Published: Wiley 2023-10-01
Series:Cancer Medicine
Subjects:
cervical squamous cell carcinoma
machine learning
neoadjuvant chemotherapy
radiomics
SVM
Online Access:https://doi.org/10.1002/cam4.6525

Internet

https://doi.org/10.1002/cam4.6525

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