Machine learning-based CT radiomics enhances bladder cancer staging predictions: A comparative study of clinical, radiomics, and combined models.

Journal: Medical physics
Published Date: Jul 8, 2024

Abstract

BACKGROUND: Predicting the accurate preoperative staging of bladder cancer (BLCA), which markedly affects treatment decisions and patient outcomes, using traditional clinical parameters is challenging. Nevertheless, emerging studies in radiomics, especially machine learning-based computed tomography (CT) image-based radiomics, hold promise in improving stage prediction accuracy in various tumors. However, the comparative performance and clinical utility of models for BLCA are under investigation.

Authors

  • Situ Xiong
    Department of Urology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
  • Zhehong Fu
    Department of Computer Science, Columbia University, New York, New York, USA.
  • Zhikang Deng
    Medical College of Nanchang University, Nanchang University, Nanchang, China.
  • Sheng Li
    School of Data Science, University of Virginia, Charlottesville, VA, United States.
  • Xiangpeng Zhan
    Department of Urology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
  • Fuchun Zheng
    Department of Urology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
  • Hailang Yang
    Department of Urology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
  • Xiaoqiang Liu
    Department of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, China.
  • Songhui Xu
    Department of Urology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
  • Hao Liu
    Key Laboratory of Development and Maternal and Child Diseases of Sichuan Province, Department of Pediatrics, Sichuan University, Chengdu, China.
  • Bing Fan
    Laboratory Department of the First Affiliated Hospital of Shenzhen University, Shenzhen, 518000, China.
  • Wentao Dong
    School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang, 330013, China.
  • Yanping Song
    School of Public Administration, Central South University, Changsha, Hunan, China.
  • Bin Fu
    Department of Orthopaedic Surgery, Changzhou Wujin People's Hospital, Changzhou 213100, China.

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