Applied deep learning in neurosurgery: identifying cerebrospinal fluid (CSF) shunt systems in hydrocephalus patients.

Journal: Acta neurochirurgica
Published Date:

Abstract

BACKGROUND: Over the recent decades, the number of different manufacturers and models of cerebrospinal fluid shunt valves constantly increased. Proper identification of shunt valves on X-ray images is crucial to neurosurgeons and radiologists to derive further details of a specific shunt valve, such as opening pressure settings and MR scanning conditions. The main aim of this study is to evaluate the feasibility of an AI-assisted shunt valve detection system.

Authors

  • Thomas Rhomberg
    Department of Neurosurgery, Inselspital, University Hospital Bern, Bern, Switzerland. thomas.rhomberg.1@gmail.com.
  • Felipe Trivik-Barrientos
    Department of Neurosurgery, Landesklinikum Wiener Neustadt, Wiener Neustadt, Austria.
  • Arsany Hakim
    University Institute of Diagnostic and Interventional Neuroradiology, Bern University Hospital, Inselspital (A.H., R.W.), University of Bern, Switzerland.
  • Andreas Raabe
    Department of Neurosurgery, Inselspital, Bern University Hospital, Bern, Switzerland.
  • Michael Murek
    Department of Neurosurgery, Inselspital, University Hospital Bern, Bern, Switzerland.