Cristin-resultat-ID: 1395357
Sist endret: 3. februar 2017, 11:32
NVI-rapporteringsår: 2016
Resultat
Vitenskapelig artikkel
2016

Glioblastoma Segmentation: Comparison of Three Different Software Packages

Bidragsytere:
  • Even Hovig Fyllingen
  • Anne Line Stensjøen
  • Erik Magnus Berntsen
  • Ole Solheim og
  • Ingerid Reinertsen

Tidsskrift

PLOS ONE
ISSN 1932-6203
e-ISSN 1932-6203
NVI-nivå 1

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2016
Publisert online: 2016
Volum: 11
Hefte: 10
Open Access

Importkilder

Scopus-ID: 2-s2.0-84992410770

Beskrivelse Beskrivelse

Tittel

Glioblastoma Segmentation: Comparison of Three Different Software Packages

Sammendrag

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.

Bidragsytere

Even Hovig Fyllingen

  • Tilknyttet:
    Forfatter
    ved Nevroklinikken ved St. Olavs Hospital HF

Anne Line Stensjøen

  • Tilknyttet:
    Forfatter
    ved Institutt for sirkulasjon og bildediagnostikk ved Norges teknisk-naturvitenskapelige universitet

Erik Magnus Berntsen

  • Tilknyttet:
    Forfatter
    ved Klinikk for bildediagnostikk ved St. Olavs Hospital HF
  • Tilknyttet:
    Forfatter
    ved Institutt for sirkulasjon og bildediagnostikk ved Norges teknisk-naturvitenskapelige universitet
Aktiv cristin-person

Ole Skeidsvoll Solheim

Bidragsyterens navn vises på dette resultatet som Ole Solheim
  • Tilknyttet:
    Forfatter
    ved Institutt for nevromedisin og bevegelsesvitenskap ved Norges teknisk-naturvitenskapelige universitet
  • Tilknyttet:
    Forfatter
    ved Nevroklinikken ved St. Olavs Hospital HF

Ingerid Reime Reinertsen

Bidragsyterens navn vises på dette resultatet som Ingerid Reinertsen
  • Tilknyttet:
    Forfatter
    ved Nevroklinikken ved St. Olavs Hospital HF
  • Tilknyttet:
    Forfatter
    ved Helse ved SINTEF AS
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