Optimising trajectory planning for stereotactic brain tumour biopsy using artificial intelligence: a systematic review of the literature.

Journal: British journal of neurosurgery
Published Date: May 13, 2023

Abstract

PURPOSE: Despite advances in technology, stereotactic brain tumour biopsy remains challenging due to the risk of injury to critical structures. Indeed, choosing the correct trajectory remains essential to patient safety. Artificial intelligence can be used to perform automated trajectory planning. We present a systematic review of automated trajectory planning algorithms for stereotactic brain tumour biopsies.

Authors

  • Joachim Starup-Hansen
    Charing Cross Hospital, Imperial College NHS Healthcare Trust, London, United Kingdom.
  • Simon C Williams
    Department of Neurosurgery, St George's Hospital, London, United Kingdom.
  • Jonathan P Funnell
    Department of Neurosurgery, St George's Hospital, London, United Kingdom.
  • John G Hanrahan
    Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London, United Kingdom.
  • Shah Islam
    Division of Brain Sciences, Imperial College London, GN1 Commonwealth Building, Hammersmith Hospital, Du Cane Road, London, W12 0HS, UK.
  • Alaa Al-Mohammad
    National Hospital for Neurology and Neurosurgery, University College London NHS Trust, London, United Kingdom.
  • Ciaran S Hill
    National Hospital for Neurology and Neurosurgery, University College London NHS Trust, London, United Kingdom.

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