Transcranial Magnetic Stimulation-Based Machine Learning Prediction of Tumor Grading in Motor-Eloquent Gliomas.

Journal: Neurosurgery
PMID: 38511960

Abstract

BACKGROUND: Navigated transcranial magnetic stimulation (nTMS) is a well-established preoperative mapping tool for motor-eloquent glioma surgery. Machine learning (ML) and nTMS may improve clinical outcome prediction and histological correlation.

Authors

  • José Pedro Lavrador
    Department of Neurosurgery, King's College Hospital Foundation Trust, London , UK.
  • Ana Mirallave-Pescador
    Department of Neurosurgery, King's College Hospital Foundation Trust, London , UK.
  • Christos Soumpasis
    Department of Neurosurgery, King's College Hospital Foundation Trust, London , UK.
  • Alba Díaz Baamonde
    Department of Neurosurgery, King's College Hospital Foundation Trust, London , UK.
  • Jahard Aliaga-Arias
    Department of Neurosurgery, King's College Hospital Foundation Trust, London , UK.
  • Asfand Baig Mirza
    Department of Neurosurgery, King's College Hospital Foundation Trust, London , UK.
  • Sabina Patel
    Department of Neurosurgery, King's College Hospital Foundation Trust, London , UK.
  • José David Siado Mosquera
    Department of Neurosurgery, King's College Hospital Foundation Trust, London , UK.
  • Richard Gullan
    Department of Neurosurgery, King's College Hospital Foundation Trust, London , UK.
  • Keyoumars Ashkan
    King's College Hospital, Neurosurgery, London, United Kingdom of Great Britain and Northern Ireland.
  • Ranjeev Bhangoo
    Department of Neurosurgery, King's College Hospital Foundation Trust, London , UK.
  • Francesco Vergani
    Department of Neurosurgery, King's College Hospital Foundation Trust, London , UK.

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