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

Xiaowei Li1, Shiyan Song2, Wenfei Ge2

  • 1Department of Urology, The First Hospital of Qinhuangdao, Qinhuangdao, 066000, China.

BMC Cancer
|April 3, 2026
PubMed
Abstract

No abstract available in PubMed .

Keywords:
Clear cell renal cell carcinomaContrast-enhanced CTMachine learningRadiomicsTumor grading

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DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...

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