Ultrasound contrast-enhanced radiomics model for preoperative prediction of the tumor grade of clear cell renal cell carcinoma: an exploratory study.

Journal: BMC medical imaging
PMID: 38844837

Abstract

BACKGROUND: This study aims to explore machine learning(ML) methods for non-invasive assessment of WHO/ISUP nuclear grading in clear cell renal cell carcinoma(ccRCC) using contrast-enhanced ultrasound(CEUS) radiomics.

Authors

  • Yujie Luo
    Department of Ultrasound, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 18, Section 3, Renmin South Road, Wuhou District, Chengdu, Sichuan, 610041, China.
  • Xiaoling Liu
    Department of Endocrinology, Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China.
  • Yiping Jia
    Department of Ultrasound, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 18, Section 3, Renmin South Road, Wuhou District, Chengdu, Sichuan, 610041, China.
  • Qin Zhao
    Department of Computer Science and Technology, Shanghai Normal University, Shanghai, China.

Keywords

External Resources

Popular Topics
Recent Journals