Interpretable multiphasic CT-based radiomic analysis for preoperatively differentiating benign and malignant solid renal tumors: a multicenter study.

Journal: Abdominal radiology (New York)
Published Date: May 11, 2024

Abstract

BACKGROUND: To develop and compare machine learning models based on triphasic contrast-enhanced CT (CECT) for distinguishing between benign and malignant renal tumors.

Authors

  • Yaohai Wu
    Department of Urology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
  • Fei Cao
  • Hanqi Lei
    Department of Urology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
  • Shiqiang Zhang
    Department of Urology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
  • Hongbing Mei
    Department of Urology, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
  • Liangchao Ni
    Department of Urology, Guangdong and Shenzhen Key Laboratory of Reproductive Medicine and Genetics, Peking University Shenzhen Hospital, Shenzhen, China.
  • Jun Pang
    Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China.

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