Voxelwise statistical methods to localize practice variation in brain tumor surgery.
PURPOSE:During resections of brain tumors, neurosurgeons have to weigh the risk between residual tumor and damage to brain functions. Different perspectives on these risks result in practice variation. We present statistical methods to localize differences in extent of resection between institutions...
Main Authors: | Roelant Eijgelaar, Philip C De Witt Hamer, Carel F W Peeters, Frederik Barkhof, Marcel van Herk, Marnix G Witte |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2019-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0222939 |
Similar Items
-
Accurate MR Image Registration to Anatomical Reference Space for Diffuse Glioma
by: Martin Visser, et al.
Published: (2020-06-01) -
A voxelwise approach to determine consensus regions-of-interest for the study of brain network plasticity
by: Sarah M. Rajtmajer, et al.
Published: (2015-07-01) -
The age-related posterior-anterior shift as revealed by voxelwise analysis of functional brain networks
by: Paul eMccarthy, et al.
Published: (2014-11-01) -
Signal detection in multi-modality medical imaging : comparison of different conditions using voxelwise statistical techniques
by: Kalemis, Antonios
Published: (2005) -
Resection probability maps for quality assessment of glioma surgery without brain location bias.
by: Philip C De Witt Hamer, et al.
Published: (2013-01-01)