title: GBM volumetry using the 3D Slicer medical image computing platform.
abstract: Volumetric change in glioblastoma multiforme (GBM) over time is a critical factor in treatment decisions. Typically, the tumor volume is computed on a slice-by-slice basis using MRI scans obtained at regular intervals. (3D)Slicer - a free platform for biomedical research - provides an alternative to this manual slice-by-slice segmentation process, which is significantly faster and requires less user interaction. In this study, 4 physicians segmented GBMs in 10 patients, once using the competitive region-growing based GrowCut segmentation module of Slicer, and once purely by drawing boundaries completely manually on a slice-by-slice basis. Furthermore, we provide a variability analysis for three physicians for 12 GBMs. The time required for GrowCut segmentation was on an average 61% of the time required for a pure manual segmentation. A comparison of Slicer-based segmentation with manual slice-by-slice segmentation resulted in a Dice Similarity Coefficient of 88.43 ± 5.23% and a Hausdorff Distance of 2.32 ± 5.23 mm.
authors: Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. egger@bwh.harvard.edu
authors: Jan
authors: J
authors: Egger
authors: Tina
authors: T
authors: Kapur
authors: Andriy
authors: A
authors: Fedorov
authors: Steve
authors: S
authors: Pieper
authors: James V
authors: JV
authors: Miller
authors: Harini
authors: H
authors: Veeraraghavan
authors: Bernd
authors: B
authors: Freisleben
authors: Alexandra J
authors: AJ
authors: Golby
authors: Christopher
authors: C
authors: Nimsky
authors: Ron
authors: R
authors: Kikinis
mesh_terms: D005909:Glioblastoma / Q000175:diagnosis* / Q000473:pathology; D006801:Humans; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional; D008279:Magnetic Resonance Imaging; D047368:Tumor Burden