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Machine learning-based radiomics analysis of PET imaging for early prediction of concurrent chemoradiotherapy response in stage II-III cervical squamous cell carcinoma.

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Bibliographic Details
Title: Machine learning-based radiomics analysis of PET imaging for early prediction of concurrent chemoradiotherapy response in stage II-III cervical squamous cell carcinoma.
Authors: Pang D; Department of Nuclear Medicine, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, 530021, China., Yang H; Department of Nuclear Medicine, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, 530021, China., Zhang S; Department of Nuclear Medicine, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, 530021, China., Qiu W; Department of Nuclear Medicine, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, 530021, China., Pu W; Department of Nuclear Medicine, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, 530021, China., Liu Z; Department of Nuclear Medicine, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, 530021, China., Yang Z; Department of Nuclear Medicine, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, 530021, China., Li N; Department of Nuclear Medicine, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, 530021, China., Liao H; Department of Nuclear Medicine, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, 530021, China. 42442427@qq.com., Xiao G; Department of Nuclear Medicine, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, 530021, China. xgy725@aliyun.com.
Source: BMC cancer [BMC Cancer] 2026 Apr 09; Vol. 26 (1). Date of Electronic Publication: 2026 Apr 09.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100967800 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2407 (Electronic) Linking ISSN: 14712407 NLM ISO Abbreviation: BMC Cancer Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1471-2407
DOI:10.1186/s12885-026-15882-x