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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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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
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  Data: 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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  Data: <searchLink fieldCode="AU" term="%22Pang+D%22">Pang D</searchLink>; Department of Nuclear Medicine, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, 530021, China.<br /><searchLink fieldCode="AU" term="%22Yang+H%22">Yang H</searchLink>; Department of Nuclear Medicine, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, 530021, China.<br /><searchLink fieldCode="AU" term="%22Zhang+S%22">Zhang S</searchLink>; Department of Nuclear Medicine, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, 530021, China.<br /><searchLink fieldCode="AU" term="%22Qiu+W%22">Qiu W</searchLink>; Department of Nuclear Medicine, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, 530021, China.<br /><searchLink fieldCode="AU" term="%22Pu+W%22">Pu W</searchLink>; Department of Nuclear Medicine, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, 530021, China.<br /><searchLink fieldCode="AU" term="%22Liu+Z%22">Liu Z</searchLink>; Department of Nuclear Medicine, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, 530021, China.<br /><searchLink fieldCode="AU" term="%22Yang+Z%22">Yang Z</searchLink>; Department of Nuclear Medicine, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, 530021, China.<br /><searchLink fieldCode="AU" term="%22Li+N%22">Li N</searchLink>; Department of Nuclear Medicine, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, 530021, China.<br /><searchLink fieldCode="AU" term="%22Liao+H%22">Liao H</searchLink>; Department of Nuclear Medicine, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, 530021, China. 42442427@qq.com.<br /><searchLink fieldCode="AU" term="%22Xiao+G%22">Xiao G</searchLink>; Department of Nuclear Medicine, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, 530021, China. xgy725@aliyun.com.
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  Data: <searchLink fieldCode="JN" term="%22100967800%22">BMC cancer</searchLink> [BMC Cancer] 2026 Apr 09; Vol. 26 (1). <i>Date of Electronic Publication: </i>2026 Apr 09.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100967800 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1471-2407 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214712407%22">14712407 </searchLink><i>NLM ISO Abbreviation: </i>BMC Cancer <i>Subsets: </i>MEDLINE
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        Value: 10.1186/s12885-026-15882-x
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      – TitleFull: 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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            – D: 09
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              Text: 2026 Apr 09
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              Y: 2026
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