Manual segmentation versus semi-automated segmentation for quantifying vestibular schwannoma volume on MRI.

Journal: International journal of computer assisted radiology and surgery
Published Date: Sep 1, 2020

Abstract

PURPOSE: Management of vestibular schwannoma (VS) is based on tumour size as observed on T1 MRI scans with contrast agent injection. The current clinical practice is to measure the diameter of the tumour in its largest dimension. It has been shown that volumetric measurement is more accurate and more reliable as a measure of VS size. The reference approach to achieve such volumetry is to manually segment the tumour, which is a time intensive task. We suggest that semi-automated segmentation may be a clinically applicable solution to this problem and that it could replace linear measurements as the clinical standard.

Authors

  • Hari McGrath
    GKT School of Medical Education, King's College London, London, UK. hari.mcgrath@kcl.ac.uk.
  • Peichao Li
    School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
  • Reuben Dorent
    School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
  • Robert Bradford
    Queen Square Radiosurgery Centre (Gamma Knife), National Hospital for Neurology and Neurosurgery, London, UK.
  • Shakeel Saeed
    Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK.
  • Sotirios Bisdas
    Queen Square Institute of Neurology, University College London, Queen Square 7, London WC1N 3BG, UK.
  • Sébastien Ourselin
    Wellcome / EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, UK.
  • Jonathan Shapey
    School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
  • Tom Vercauteren
    Wellcome / EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, UK.

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