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Glioblastoma Segmentation: Comparison of Three Different Software Packages |
TY - DATA
T1 - Glioblastoma Segmentation: Comparison of Three Different Software Packages
AU - Fyllingen, Even
AU - Stensjøen, Anne Line
AU - Berntsen, Erik Magnus
AU - Solheim, Ole
AU - Reinertsen, Ingerid
PY - 2016
PB - Norstore
UR - https://doi.org/10.11582/2016.00004
DO - 10.11582/2016.00004
ER -
Fyllingen, E., Stensjøen, A. L., Berntsen, E. M., Solheim, O., Reinertsen, I. (2016).Glioblastoma Segmentation: Comparison of Three Different Software Packages [Data set]. Norstore. https://doi.org/10.11582/2016.00004
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2016-10-11 |
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Description |
To facilitate a more widespread use of volumetric tumor segmentation in clinical studies, there is an urgent need for reliable, user-friendly segmentation software. The aim of this study was therefore to compare three different software packages for semi-automatic brain tumor segmentation of glioblastoma; namely BrainVoyagerTM QX, ITK-Snap and 3D Slicer, and to make data available for future reference. Pre-operative, contrast enhanced T1-weighted 1.5 or 3 Tesla Magnetic Resonance Imaging (MRI) scans were obtained in 20 consecutive patients who underwent surgery for glioblastoma. MRI scans were segmented twice in each software package by two investigators. Intra-rater, inter-rater and between-software agreement was compared by using differences of means with 95 % limits of agreement (LoA), Dice’s similarity coefficients (DSC) and Hausdorff distance (HD). Time expenditure of segmentations was measured using a stopwatch. Eighteen tumors were included in the analyses. Inter-rater agreement was highest for BrainVoyager with difference of means of 0.19 mL and 95 % LoA from -2.42 mL to 2.81 mL. Between-software agreement and 95 % LoA were very similar for the different software packages. Intra-rater, inter-rater and between-software DSC were ≥ 0.93 in all analyses. Time expenditure was approximately 41 min per segmentation in BrainVoyager, and 18 min per segmentation in both 3D Slicer and ITK-Snap. Our main findings were that there is a high agreement within and between the software packages in terms of small intra-rater, inter-rater and between-software differences of means and high Dice’s similarity coefficients. Time expenditure was highest for BrainVoyager, but all software packages were relatively time-consuming, which may limit usability in an everyday clinical setting.
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