Deep Learning Algorithms to Predict Differential Renal Function <40% in Unilateral Hydronephrosis Based on Key Parameters of Urinary Tract Ultrasound.

Journal: Urology
Published Date: Apr 8, 2025

Abstract

OBJECTIVE: To identify the correlation between ultrasound findings and the incidence of differential renal function (DRF) <40%, we conducted an analysis of the key parameters of urinary tract ultrasound in children with unilateral hydronephrosis. For children with unilateral hydronephrosis, DRF <40% serves as a compelling indication for surgical intervention, and it can be assessed through diuretic renogram. However, a significant number of patients do not have convenient access to high-quality renograms. So we conducted this analysis aiming to identifying value of urinary tract ultrasound in surgical intervention decision.

Authors

  • Jiaxin Huang
    Department of Digestive Diseases, Huashan Hospital, Fudan University, 12 Middle Urumqi Road, Shanghai, 200040, China.
  • Liyuan Geng
    NYU Shanghai, Shanghai, PR China.
  • Yue Hu
    Department of Biobank, China-Japan Union Hospital of Jilin University, Changchun, China.
  • Zhoutong Chen
    Department of Urology, Children's Hospital of Fudan University, Shanghai, PR China.
  • Hongquan Geng
    Department of Urology, Children's Hospital of Fudan University, Shanghai, PR China.
  • Xingang Cui
    Department of Urology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, PR China. Electronic address: cuixingang@xinhuamed.com.cn.
  • Xiaoliang Fang
    Department of Urology, Children's Hospital of Fudan University, Shanghai, PR China.

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