Deep learning imaging features derived from kidney ultrasounds predict chronic kidney disease progression in children with posterior urethral valves.

Journal: Pediatric nephrology (Berlin, Germany)
PMID: 35867160

Abstract

BACKGROUND: We sought to use deep learning to extract anatomic features from postnatal kidney ultrasounds and evaluate their performance in predicting the risk and timing of chronic kidney disease (CKD) progression for boys with posterior urethral valves (PUV). We hypothesized that these features would predict CKD progression better than clinical characteristics such as nadir creatinine alone.

Authors

  • John K Weaver
    Division of Pediatric Urology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
  • Karen Milford
    Division of Urology, Hospital for Sick Children, Toronto, ON, Canada.
  • Mandy Rickard
    Department of Surgery, The Hospital for Sick Children, Toronto, Ontario, Canada.
  • Joey Logan
    Division of Pediatric Urology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
  • Lauren Erdman
    Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, Ontario, Canada.
  • Bernarda Viteri
    Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
  • Neeta D'Souza
    Division of Pediatric Urology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
  • Andy Cucchiara
    Center for Pediatric Clinical Effectiveness, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
  • Marta Skreta
    Department of Computer Science, University of Toronto, Toronto, Canada. martaskreta@cs.toronto.edu.
  • Daniel Keefe
    Division of Urology, Hospital for Sick Children, Toronto, ON, Canada.
  • Salima Shah
    Division of Pediatric Urology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
  • Antoine Selman
    Division of Pediatric Urology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
  • Katherine Fischer
    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.
  • 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.
  • Armando Lorenzo
    Division of Urology, Hospital for Sick Children, Toronto, ON, Canada.
  • Yong Fan
    CPB/ECMO Children's Hospital, Zhejiang University School of Medicine, 310052 Hangzhou, Zhejiang, China.
  • Greg E Tasian
    Division of Pediatric Urology, Children's Hospital of Philadelphia, Philadelphia, PA, USA. tasiang@chop.edu.

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