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Clustering of quantitative CT features identifies HCC subtypes with distinct prognosis and immune signatures.

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Title: Clustering of quantitative CT features identifies HCC subtypes with distinct prognosis and immune signatures.
Authors: Wu S; Department of Radiation Oncology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.; Cancer Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China., Peng F; Department of Radiation Oncology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.; Cancer Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China., Huang J; Department of Radiation Oncology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.; Cancer Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China., Xu L; Department of Radiation Oncology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China., Zhang X; Department of Radiation Oncology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China., Bao Y; Department of Radiation Oncology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China. baoyong@mail.sysu.edu.cn.; Cancer Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China. baoyong@mail.sysu.edu.cn., Chen Y; Department of Radiation Oncology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China. chenyong@mail.sysu.edu.cn.; Cancer Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China. chenyong@mail.sysu.edu.cn.
Source: European radiology experimental [Eur Radiol Exp] 2026 May 27; Vol. 10 (1). Date of Electronic Publication: 2026 May 27.
Publication Type: Journal Article
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: <searchLink fieldCode="AU" term="%22Wu+S%22">Wu S</searchLink>; Department of Radiation Oncology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.; Cancer Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.<br /><searchLink fieldCode="AU" term="%22Peng+F%22">Peng F</searchLink>; Department of Radiation Oncology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.; Cancer Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.<br /><searchLink fieldCode="AU" term="%22Huang+J%22">Huang J</searchLink>; Department of Radiation Oncology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.; Cancer Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.<br /><searchLink fieldCode="AU" term="%22Xu+L%22">Xu L</searchLink>; Department of Radiation Oncology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.<br /><searchLink fieldCode="AU" term="%22Zhang+X%22">Zhang X</searchLink>; Department of Radiation Oncology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.<br /><searchLink fieldCode="AU" term="%22Bao+Y%22">Bao Y</searchLink>; Department of Radiation Oncology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China. baoyong@mail.sysu.edu.cn.; Cancer Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China. baoyong@mail.sysu.edu.cn.<br /><searchLink fieldCode="AU" term="%22Chen+Y%22">Chen Y</searchLink>; Department of Radiation Oncology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China. chenyong@mail.sysu.edu.cn.; Cancer Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China. chenyong@mail.sysu.edu.cn.
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        Value: 10.1186/s41747-026-00730-1
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        Text: English
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      – TitleFull: Clustering of quantitative CT features identifies HCC subtypes with distinct prognosis and immune signatures.
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              Text: 2026 May 27
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