An Artificial Intelligence Generated Automated Algorithm to Measure Total Kidney Volume in ADPKD.

Journal: Kidney international reports
Published Date: Nov 4, 2023

Abstract

INTRODUCTION: Accurate tools to inform individual prognosis in patients with autosomal dominant polycystic kidney disease (ADPKD) are lacking. Here, we report an artificial intelligence (AI)-generated method for routinely measuring total kidney volume (TKV).

Authors

  • Jonathan Taylor
    3DLab, Medical Imaging Medical Physics, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
  • Richard Thomas
    3DLab, Medical Imaging Medical Physics, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
  • Peter Metherall
    3DLab, Medical Imaging Medical Physics, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
  • Marieke van Gastel
    Department of Nephrology, University Medical Centre Groningen, Groningen, The Netherlands.
  • Emilie Cornec-Le Gall
    University Brest, Inserm, UMR 1078, GGB, CHU Brest, F-29200 Brest, France.
  • Anna Caroli
    Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy.
  • Monica Furlano
    Inherited Kidney Disorders, Nephrology Department, Fundació Puigvert, IIB Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.
  • Nathalie Demoulin
    Cliniques Universitaires Saint-Luc, UCLouvain Medical School, Brussels, Belgium.
  • Olivier Devuyst
    Cliniques Universitaires Saint-Luc, UCLouvain Medical School, Brussels, Belgium.
  • Jean Winterbottom
    Academic Nephrology, Division of Clinical Medicine, School of Medicine and Population Health, Faculty of Health, University of Sheffield, Sheffield, UK.
  • Roser Torra
    Inherited Kidney Disorders, Nephrology Department, Fundació Puigvert, IIB Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.
  • Norberto Perico
    Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy.
  • Yannick Le Meur
    University Brest, Inserm, UMR 1227, LBAI, CHU Brest, F-29200 Brest, France.
  • Sebastian Schoenherr
    Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Austria.
  • Lukas Forer
    Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Austria.
  • Ron T Gansevoort
    Department of Nephrology, University Medical Centre Groningen, Groningen, The Netherlands.
  • Roslyn J Simms
    Academic Nephrology, Division of Clinical Medicine, School of Medicine and Population Health, Faculty of Health, University of Sheffield, Sheffield, UK.
  • Albert C M Ong
    Academic Nephrology, Division of Clinical Medicine, School of Medicine and Population Health, Faculty of Health, University of Sheffield, Sheffield, UK.

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