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Application of contrast-enhanced CT-based radiomics with machine learning to predict WHO/ISUP grading in clear cell renal cell carcinoma.

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Title: Application of contrast-enhanced CT-based radiomics with machine learning to predict WHO/ISUP grading in clear cell renal cell carcinoma.
Authors: Li X; Department of Urology, The First Hospital of Qinhuangdao, Qinhuangdao, 066000, China., Song S; Department of Urology, First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China., Ge W; Department of Urology, First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China., Wang H; Department of Urology, The First Hospital of Qinhuangdao, Qinhuangdao, 066000, China., Liu W; Department of Urology, The First Hospital of Qinhuangdao, Qinhuangdao, 066000, China., Qi X; Department of Urology, First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China. dl_qixiaochen@yeah.net., Zhao Y; Department of Urology, The First Hospital of Qinhuangdao, Qinhuangdao, 066000, China. zhaoyuming1592025@163.com.
Source: BMC cancer [BMC Cancer] 2026 Apr 02; Vol. 26 (1). Date of Electronic Publication: 2026 Apr 02.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100967800 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2407 (Electronic) Linking ISSN: 14712407 NLM ISO Abbreviation: BMC Cancer Subsets: MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: Application of contrast-enhanced CT-based radiomics with machine learning to predict WHO/ISUP grading in clear cell renal cell carcinoma.
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  Data: <searchLink fieldCode="AU" term="%22Li+X%22">Li X</searchLink>; Department of Urology, The First Hospital of Qinhuangdao, Qinhuangdao, 066000, China.<br /><searchLink fieldCode="AU" term="%22Song+S%22">Song S</searchLink>; Department of Urology, First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China.<br /><searchLink fieldCode="AU" term="%22Ge+W%22">Ge W</searchLink>; Department of Urology, First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China.<br /><searchLink fieldCode="AU" term="%22Wang+H%22">Wang H</searchLink>; Department of Urology, The First Hospital of Qinhuangdao, Qinhuangdao, 066000, China.<br /><searchLink fieldCode="AU" term="%22Liu+W%22">Liu W</searchLink>; Department of Urology, The First Hospital of Qinhuangdao, Qinhuangdao, 066000, China.<br /><searchLink fieldCode="AU" term="%22Qi+X%22">Qi X</searchLink>; Department of Urology, First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China. dl_qixiaochen@yeah.net.<br /><searchLink fieldCode="AU" term="%22Zhao+Y%22">Zhao Y</searchLink>; Department of Urology, The First Hospital of Qinhuangdao, Qinhuangdao, 066000, China. zhaoyuming1592025@163.com.
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  Data: <searchLink fieldCode="JN" term="%22100967800%22">BMC cancer</searchLink> [BMC Cancer] 2026 Apr 02; Vol. 26 (1). <i>Date of Electronic Publication: </i>2026 Apr 02.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100967800 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1471-2407 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214712407%22">14712407 </searchLink><i>NLM ISO Abbreviation: </i>BMC Cancer <i>Subsets: </i>MEDLINE
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      – Type: doi
        Value: 10.1186/s12885-026-15794-w
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      – Code: eng
        Text: English
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      – TitleFull: Application of contrast-enhanced CT-based radiomics with machine learning to predict WHO/ISUP grading in clear cell renal cell carcinoma.
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            NameFull: Li X
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            NameFull: Song S
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            – D: 02
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              Text: 2026 Apr 02
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              Y: 2026
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              Value: 1471-2407
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              Value: 26
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