MRI-Based Machine Learning Radiomics for Preoperative Assessment of Human Epidermal Growth Factor Receptor 2 Status in Urothelial Bladder Carcinoma.

Journal: Journal of magnetic resonance imaging : JMRI
PMID: 38456745

Abstract

BACKGROUND: The human epidermal growth factor receptor 2 (HER2) has recently emerged as hotspot in targeted therapy for urothelial bladder cancer (UBC). The HER2 status is mainly identified by immunohistochemistry (IHC), preoperative and noninvasive methods for determining HER2 status in UBC remain in searching.

Authors

  • Ruixi Yu
    Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Lingkai Cai
    Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Yuxi Gong
    Department of Pathology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Xueying Sun
    Department of Biobank, The Sixth Affiliated People's Hospital of Dalian Medical University, Dalian, Liaoning, China.
  • Kai Li
    Department of Gastroenterology, Shanghai First People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
  • Qiang Cao
    Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Xiao Yang
    Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Qiang Lu
    Department of Computer Science and Technology, China University of Petroleum, Beijing 102249, China.

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