Deep Learning of Videourodynamics to Classify Bladder Dysfunction Severity in Patients With Spina Bifida.

Journal: The Journal of urology
PMID:

Abstract

PURPOSE: Urologists rely heavily on videourodynamics to identify patients with neurogenic bladders who are at risk of upper tract injury, but their interpretation has high interobserver variability. Our objective was to develop deep learning models of videourodynamics studies to categorize severity of bladder dysfunction.

Authors

  • John K Weaver
    Division of Pediatric Urology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
  • Madalyne Martin-Olenski
    Division of Pediatric Urology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
  • Joseph Logan
    Division of Pediatric Urology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
  • Reiley Broms
    Division of Pediatric Urology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
  • Maria Antony
    Division of Pediatric Urology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
  • Jason Van Batavia
    Division of Urology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104, USA; Division of Urology, Hospital of the University of Pennsylvania, Perelman Center for Advanced Care, 3400 Civic Center Blvd, 3rd Floor West Pavilion, Philadelphia, PA 19104, USA.
  • Dana A Weiss
    Division of Urology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104, USA; Division of Urology, Hospital of the University of Pennsylvania, Perelman Center for Advanced Care, 3400 Civic Center Blvd, 3rd Floor West Pavilion, Philadelphia, PA 19104, USA.
  • Christopher J Long
    Division of Urology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104, USA; Division of Urology, Hospital of the University of Pennsylvania, Perelman Center for Advanced Care, 3400 Civic Center Blvd, 3rd Floor West Pavilion, Philadelphia, PA 19104, USA.
  • Ariana L Smith
    Division of Urology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
  • Stephen A Zderic
    Division of Pediatric Urology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
  • Jing Huang
    Department of Nephrology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
  • Yong Fan
    CPB/ECMO Children's Hospital, Zhejiang University School of Medicine, 310052 Hangzhou, Zhejiang, China.
  • Gregory E Tasian
    Department of Surgery, Division of Pediatric Urology, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, United States; Center for Pediatric Clinical Effectiveness, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, United States; Department of Biostatistics, Epidemiology, and Informatics, The University of Pennsylvania, Philadelphia, PA, 19104, United States.