Deep learning-assisted two-dimensional transperineal ultrasound for analyzing bladder neck motion in women with stress urinary incontinence.

Journal: American journal of obstetrics and gynecology
PMID: 39032723

Abstract

BACKGROUND: No universally recognized transperineal ultrasound parameters are available for evaluating stress urinary incontinence. The information captured by commonly used perineal ultrasound parameters is limited and insufficient for a comprehensive assessment of stress urinary incontinence. Although bladder neck motion plays a major role in stress urinary incontinence, objective and visual methods to evaluate its impact on stress urinary incontinence remain lacking.

Authors

  • Jin Wang
    Cells Vision (Guangzhou) Medical Technology Inc., Guangzhou, China. Electronic address: wangjin@cellsvision.com.
  • Xin Yang
    Department of Oral Maxillofacial-Head Neck Oncology, Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai, China.
  • Yinnan Wu
    Department of Ultrasound Medicine, Cancer Center, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang, China; School of Mathematical Sciences, Zhejiang University, Hangzhou, Zhejiang, China.
  • Yanqing Peng
    Department of Ultrasound Medicine, Cancer Center, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang, China.
  • Yan Zou
    National Clinical Research Center of Oral Diseases, Shanghai 200011, China.
  • Xiduo Lu
    Shenzhen RayShape Medical Technology Co, Ltd, Shenzhen, China.
  • Shuangxi Chen
    Department of Ultrasound Medicine, Zhejiang Provincial People's Hospital & People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang, China.
  • Xiaoyi Pan
    School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, China.
  • Dong Ni
  • Litao Sun
    SEU-FEI Nano-Pico Center, Key Laboratory of MEMS of Ministry of Education, Southeast University, Nanjing, 210096, China.

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