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

Abstract Background Cervical squamous cell carcinoma is a major global health burden, with many patients presenting with locally advanced disease requiring concurrent chemoradiotherapy (CCRT). Early assessment of treatment response (TR) is critical for optimizing therapeutic strategies and improving...

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Príomhchruthaitheoirí:	Dinghua Pang, Hong Yang, Shilai Zhang, Wenming Qiu, Weiwei Pu, Ziya Liu, Zhi Yang, Ning Li, Hai Liao, Guoyou Xiao
Formáid:	Artigo
Teanga:	Inglês
Foilsithe / Cruthaithe:	BMC 2026-04-01
Sraith:	BMC Cancer
Ábhair:	18F-FDG PET Cervical squamous cell carcinoma Concurrent chemoradiotherapy Radiomics Machine learning
Rochtain ar líne:	https://doi.org/10.1186/s12885-026-15882-x
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