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

International Journal of Computer Assisted Radiology and Surgery
Hari McGrathTom Vercauteren

Abstract

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. Using high-quality software available for academic purposes, we ran a comparative study of manual versus semi-automated segmentation of VS on MRI with 5 clinicians and scientists. We gathered both quantitative and qualitative data to compare the two approaches; including segmentation time, segmentation effort and segmentation accuracy. We found that the selected semi-automated segmentation approach is significantly faster (167 s vs 479 s, [Formula: see text]), less temporally and physically demanding and has approximately equal performance when compared with manual segmentation, with some improvements in accuracy. There were...Continue Reading

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Citations

Feb 20, 2021·International Journal of Computer Assisted Radiology and Surgery·Melissa R RequistAmy L Lenz

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Software Mentioned

MRIcron
ITK
ImFusion Labels (
3D slicer
SNAP
ImFusion

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