Separation of stroke from vestibular neuritis using the video head impulse test: machine learning models versus expert clinicians.

Journal: Journal of neurology
PMID: 40042674

Abstract

BACKGROUND: Acute vestibular syndrome usually represents either vestibular neuritis (VN), an innocuous viral illness, or posterior circulation stroke (PCS), a potentially life-threatening event. The video head impulse test (VHIT) is a quantitative measure of the vestibulo-ocular reflex that can distinguish between these two diagnoses. It can be rapidly performed at the bedside by any trained healthcare professional but requires interpretation by an expert clinician. We developed machine learning models to differentiate between PCS and VN using only the VHIT.

Authors

  • Chao Wang
    College of Agriculture, Shanxi Agricultural University, Taigu, Shanxi, China.
  • Jeevan Sreerama
    Central Clinical School, University of Sydney, Sydney, NSW, Australia.
  • Benjamin Nham
    Institute of Clinical Neurosciences, Royal Prince Alfred Hospital, Sydney, Australia.
  • Nicole Reid
    Institute of Clinical Neurosciences, Royal Prince Alfred Hospital, Sydney, NSW, Australia.
  • Nese Ozalp
    Department of Neurophysiology, Liverpool Hospital, Sydney, NSW, Australia.
  • James O Thomas
    Department of Neurophysiology, Liverpool Hospital, Sydney, NSW, Australia.
  • Cecilia Cappelen-Smith
    Department of Neurology and Neurophysiology, Liverpool Hospital, Sydney, NSW, Australia; South Western Sydney Clinical School, University of New South Wales, Sydney, NSW, Australia; Ingham Institute for Applied Medical Research, Sydney, NSW, Australia.
  • Zeljka Calic
    Department of Neurophysiology, Liverpool Hospital, Sydney, Australia.
  • Andrew P Bradshaw
    Institute of Clinical Neurosciences, Royal Prince Alfred Hospital, Sydney, Australia.
  • Sally M Rosengren
    Institute of Clinical Neurosciences, Royal Prince Alfred Hospital, Sydney, Australia.
  • Gülden Akdal
    Department of Neurosciences, Institute of Health Sciences, Dokuz Eylül University, Izmir, Türkiye.
  • G Michael Halmagyi
    Institute of Clinical Neurosciences, Royal Prince Alfred Hospital, Sydney, Australia.
  • Deborah A Black
    Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
  • David Burke
    Institute of Clinical Neurosciences, Royal Prince Alfred Hospital, Sydney, Australia.
  • Mukesh Prasad
    Centre for Artificial Intelligence, School of Software, Faculty of Engineering and Technology, University of Technology Sydney, Sydney, Australia.
  • Gnana K Bharathy
    School of Computer Science, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia.
  • Miriam S Welgampola
    Central Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney 2006, Australia.

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