Machine learning models to predict the zero-fragment rate and lower pole access with FANS during flexible Ureteroscopy-an EAU section of endourology study.

Journal: World journal of urology
Published Date: Jul 6, 2025

Abstract

INTRODUCTION: Suction devices such as flexible and navigable suction ureteral access sheath (FANS) are promising tools to reach the zero-fragment rate (ZFR) after flexible ureteroscopy (FURS) and laser lithotripsy. FANS could especially be useful for lower pole stones (LPS), avoiding postoperative retained stone dust. Using Machine Learning (ML) models, we aimed to predict the ZFR after FURS with FANS and secondarily the possible access to the lower pole (LP).

Authors

  • Frédéric Panthier
    Endolase lab, GRC20, Sorbonne Université and PIMM-Arts et Métiers Paris Tech, Paris, France.
  • Daron Smith
    Institute of Urology, University College Hospital London, London, UK.
  • Olivier Traxer
    Endolase lab, GRC20, Sorbonne Université and PIMM-Arts et Métiers Paris Tech, Paris, France.
  • Daniele Castellani
    Endourology Section, European Association of Urology, Arnhem, The Netherlands.
  • Steffi Yuen
    Endourology Technology Section of European Association of Urology (EAU), Arnhem, The Netherlands.
  • Bhaskar Somani
    Department of Urology, University of Southampton, Southampton, United Kingdom.
  • Vineet Gauhar
    Endourology Section, European Association of Urology, Arnhem, The Netherlands.

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