Title
Diffusion tensor imaging in primary brain tumors: reproducible quantitative analysis of corpus callosum infiltration and contralateral involvement using a probabilistic mixture model.
Abstract
Diffusion tensor imaging (DTI) has been advocated as a promising tool for delineation of the extent of tumor infiltration by primary brain tumors. First reports show conflicting results mainly due to difficulties in reproducible determination of DTI-derived parameters. A novel method based on probabilistic voxel classification for a user-independent analysis of DTI-derived parameters is presented and tested in healthy controls and patients with primary brain tumors. The proposed quantification method proved to be highly reproducible both in healthy controls and patients. Fiber integrity in the corpus callosum (CC) was measured using this quantification method, and the profiles of fractional anisotropy (FA) provided additional information of the possible extent of infiltration of primary brain tumors when compared to conventional imaging. This yielded additional information on the nature of ambiguous contralateral lesions in patients with primary brain tumors. The results show that DTI-derived parameters can be determined reproducibly and may have a strong impact on evaluation of contralateral extent of primary brain tumors.
Year
DOI
Venue
2006
10.1016/j.neuroimage.2005.12.052
NeuroImage
Keywords
Field
DocType
MRI,DTI,Primary brain tumors,Quantification,Corpus callosum
Voxel,Developmental psychology,Diffusion MRI,Fractional anisotropy,Primary Brain Tumors,Psychology,Quantitative analysis (chemistry),Probabilistic logic,Corpus callosum,Mixture model,Pathology
Journal
Volume
Issue
ISSN
31
2
1053-8119
Citations 
PageRank 
References 
2
0.40
2
Authors
10
Name
Order
Citations
PageRank
Bram Stieltjes119355.84
Mathias Schlüter2183.88
Bernd Didinger320.40
Marc-André Weber443221.68
Horst K. Hahn545072.61
Peter Parzer620.74
Jan Rexilius78514.46
Olaf Konrad-Verse8413.90
Heinz-otto Peitgen91030114.91
Marco Essig1022.09