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

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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
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  Data: Quantitative analysis of enhanced CT in predicting microvascular invasion and pathological grading of hepatocellular carcinoma.
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  Data: <searchLink fieldCode="AU" term="%22Shi+D%22">Shi D</searchLink>; Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Kou+Q%22">Kou Q</searchLink>; Department of Radiology, Hangzhou Lin'an District Third People's Hospital, Lin'an District, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Chen+HY%22">Chen HY</searchLink>; Department of Radiology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Chen+JY%22">Chen JY</searchLink>; Department of Radiology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Jin+LF%22">Jin LF</searchLink>; Department of Radiology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Jiang+CY%22">Jiang CY</searchLink>; Department of Radiology, People's Hospital of Songyang County, Songyang, Lishui, China.<br /><searchLink fieldCode="AU" term="%22Shi+L%22">Shi L</searchLink>; Department of Radiology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China. shilei@zjcc.org.cn.<br /><searchLink fieldCode="AU" term="%22Yu+RS%22">Yu RS</searchLink>; Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China. risheng-yu@zju.edu.cn.<br /><searchLink fieldCode="AU" term="%22Wang+C%22">Wang C</searchLink>; Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China. wangchaosmart@zju.edu.cn.
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  Data: <searchLink fieldCode="JN" term="%229114774%22">European radiology</searchLink> [Eur Radiol] 2026 Apr; Vol. 36 (4), pp. 2778-2793. <i>Date of Electronic Publication: </i>2025 Oct 31.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+International%22">Springer International </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>9114774 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-1084 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209387994%22">09387994 </searchLink><i>NLM ISO Abbreviation: </i>Eur Radiol <i>Subsets: </i>MEDLINE
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      – Type: doi
        Value: 10.1007/s00330-025-12087-x
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      – Code: eng
        Text: English
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        StartPage: 2778
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      – TitleFull: Quantitative analysis of enhanced CT in predicting microvascular invasion and pathological grading of hepatocellular carcinoma.
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            NameFull: Kou Q
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            – D: 01
              M: 04
              Text: 2026 Apr
              Type: published
              Y: 2026
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