Radiomics for differential diagnosis of Bosniak II-IV renal masses via CT imaging.

Journal: BMC cancer
PMID:

Abstract

RATIONALE AND OBJECTIVES: The management of complex renal cysts is guided by the Bosniak classification system, which may be inadequate for risk stratification of patients to determine the appropriate intervention. Radiomics models based on CT imaging may provide additional useful information.

Authors

  • Xun Zhao
    Transplant AI Initiative, Ajmera Transplant Program, University Health Network, Toronto, ON, Canada.
  • Ye Yan
    4 Department of Gastroenterology and Hepatology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Wanfang Xie
    School of Engineering Medicine, Beihang University, Beijing, 100191, China.
  • Zijian Qin
    State Key Laboratory of Chemical Resource Engineering, Department of Pharmaceutical Engineering, P.O. Box 53, Beijing University of Chemical Technology, 15 BeiSanHuan East Road, Beijing 100029, PR China.
  • Litao Zhao
    School of Engineering Medicine, Beihang University, Beijing, 100191, China.
  • Cheng Liu
    Key Lab of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China; School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, China; Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; Anhui Province Key Laboratory of Polar Environment and Global Change, University of Science and Technology of China, Hefei 230026, China. Electronic address: chliu81@ustc.edu.cn.
  • Shudong Zhang
    Department of Joint, Yantaishan Hospital, No. 91, Jiefang Road, Yantai, 264000, Shandong, China. Duwei121282@163.com.
  • Jiangang Liu
    School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, China.
  • Lulin Ma
    Department of Urology, Peking University Third Hospital, Haidian District, 49 North Garden Road, Haidian, Beijing, 100191, People's Republic of China. malulinpku@163.com.