Quantitative analysis of enhanced CT in predicting microvascular invasion and pathological grading of hepatocellular carcinoma.

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Bibliographic Details
Title: Quantitative analysis of enhanced CT in predicting microvascular invasion and pathological grading of hepatocellular carcinoma.
Authors: Shi D; Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China., Kou Q; Department of Radiology, Hangzhou Lin'an District Third People's Hospital, Lin'an District, Hangzhou, China., Chen HY; Department of Radiology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China., Chen JY; Department of Radiology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China., Jin LF; Department of Radiology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China., Jiang CY; Department of Radiology, People's Hospital of Songyang County, Songyang, Lishui, China., Shi L; Department of Radiology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China. shilei@zjcc.org.cn., Yu RS; Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China. risheng-yu@zju.edu.cn., Wang C; Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China. wangchaosmart@zju.edu.cn.
Source: European radiology [Eur Radiol] 2026 Apr; Vol. 36 (4), pp. 2778-2793. Date of Electronic Publication: 2025 Oct 31.
Publication Type: Journal Article; Multicenter Study
Journal Info: Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1432-1084
DOI:10.1007/s00330-025-12087-x