English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Volumetric change in glioblastoma multiforme (GBM) over time is a criticalfactor in treatment decisions. Typically, the tumor volume is computed on aslice-by-slice basis using MRI scans obtained at regular intervals. (3D)Slicer- a free platform for biomedical research - provides an alternative to thismanual slice-by-slice segmentation process, which is significantly faster andrequires less user interaction. In this study, 4 physicians segmented GBMs in10 patients, once using the competitive region-growing based GrowCutsegmentation module of Slicer, and once purely by drawing boundaries completelymanually on a slice-by-slice basis. Furthermore, we provide a variabilityanalysis for three physicians for 12 GBMs. The time required for GrowCutsegmentation was on an average 61% of the time required for a pure manualsegmentation. A comparison of Slicer-based segmentation with manualslice-by-slice segmentation resulted in a Dice Similarity Coefficient of 88.43+/- 5.23% and a Hausdorff Distance of 2.32 +/- 5.23 mm.

GBM Volumetry using the 3D Slicer Medical Image Computing Platform