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Automated three-dimensional radiomic body composition analysis enhances survival prediction in resectable non‑small cell lung cancer.

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Title: Automated three-dimensional radiomic body composition analysis enhances survival prediction in resectable non‑small cell lung cancer.
Authors: Huang Y; Department of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, China.; Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China., Li C; School of Biomedical Engineering, Southern Medical University, Guangzhou, China.; Guangdong Provincial Key Laboratory of Medical Image Processing, Guangzhou, China., Yang F; The First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China., Chen X; Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China., Chen X; Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China., Huang Y; Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China.; Department of Radiation Oncology (Maastro), GROW Research Institute for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands., Zhang Z; Department of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, China., Yang L; Department of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, China., Jiang Y; Department of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, China., Cun H; Department of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, China., Mou Z; Department of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, China., Yang W; School of Biomedical Engineering, Southern Medical University, Guangzhou, China. weiyanggm@gmail.com.; Guangdong Provincial Key Laboratory of Medical Image Processing, Guangzhou, China. weiyanggm@gmail.com., Liu Z; Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China. liuzaiyi@gdph.org.cn.; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China. liuzaiyi@gdph.org.cn., He B; Department of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, China. kmmu_hb@163.com.
Source: European radiology experimental [Eur Radiol Exp] 2026 Sep 18; Vol. 10 (1). Date of Electronic Publication: 2026 Sep 18.
Publication Type: Journal Article; Multicenter Study
Journal Info: Publisher: SpringerOpen Country of Publication: England NLM ID: 101721752 Publication Model: Electronic Cited Medium: Internet ISSN: 2509-9280 (Electronic) Linking ISSN: 25099280 NLM ISO Abbreviation: Eur Radiol Exp Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Automated three-dimensional radiomic body composition analysis enhances survival prediction in resectable non‑small cell lung cancer.
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  Data: <searchLink fieldCode="AU" term="%22Huang+Y%22">Huang Y</searchLink>; Department of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, China.; Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China.<br /><searchLink fieldCode="AU" term="%22Li+C%22">Li C</searchLink>; School of Biomedical Engineering, Southern Medical University, Guangzhou, China.; Guangdong Provincial Key Laboratory of Medical Image Processing, Guangzhou, China.<br /><searchLink fieldCode="AU" term="%22Yang+F%22">Yang F</searchLink>; The First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Chen+X%22">Chen X</searchLink>; Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China.<br /><searchLink fieldCode="AU" term="%22Chen+X%22">Chen X</searchLink>; Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China.<br /><searchLink fieldCode="AU" term="%22Huang+Y%22">Huang Y</searchLink>; Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China.; Department of Radiation Oncology (Maastro), GROW Research Institute for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Zhang+Z%22">Zhang Z</searchLink>; Department of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, China.<br /><searchLink fieldCode="AU" term="%22Yang+L%22">Yang L</searchLink>; Department of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, China.<br /><searchLink fieldCode="AU" term="%22Jiang+Y%22">Jiang Y</searchLink>; Department of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, China.<br /><searchLink fieldCode="AU" term="%22Cun+H%22">Cun H</searchLink>; Department of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, China.<br /><searchLink fieldCode="AU" term="%22Mou+Z%22">Mou Z</searchLink>; Department of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, China.<br /><searchLink fieldCode="AU" term="%22Yang+W%22">Yang W</searchLink>; School of Biomedical Engineering, Southern Medical University, Guangzhou, China. weiyanggm@gmail.com.; Guangdong Provincial Key Laboratory of Medical Image Processing, Guangzhou, China. weiyanggm@gmail.com.<br /><searchLink fieldCode="AU" term="%22Liu+Z%22">Liu Z</searchLink>; Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China. liuzaiyi@gdph.org.cn.; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China. liuzaiyi@gdph.org.cn.<br /><searchLink fieldCode="AU" term="%22He+B%22">He B</searchLink>; Department of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, China. kmmu_hb@163.com.
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  Data: <searchLink fieldCode="JN" term="%22101721752%22">European radiology experimental</searchLink> [Eur Radiol Exp] 2026 Sep 18; Vol. 10 (1). <i>Date of Electronic Publication: </i>2026 Sep 18.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22SpringerOpen%22">SpringerOpen </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101721752 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2509-9280 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2225099280%22">25099280 </searchLink><i>NLM ISO Abbreviation: </i>Eur Radiol Exp <i>Subsets: </i>MEDLINE
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              Text: 2026 Sep 18
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