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. |
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| 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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| ISSN: | 2509-9280 |
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| DOI: | 10.1186/s41747-026-00730-1 |
