Quantitative texture analysis in the prediction of IDH status in low-grade gliomas
Quantitative texture analysis in the prediction of IDH status in low-grade gliomas
About this item
Full title
Author / Creator
Publisher
Netherlands: Elsevier B.V
Journal title
Language
English
Formats
Publication information
Publisher
Netherlands: Elsevier B.V
Subjects
More information
Scope and Contents
Contents
•Non-invasive diagnostic tools is needed to tailor surgical strategy.•Using FLAIR MRI from a standardized protocol, we explored if texture parameters could predict molecular class.•Homogeneity seems promising as a marker for IDH mutation, although further research is needed given the limited sample size.•Synthetic MRI enable standardization of imag...
Alternative Titles
Full title
Quantitative texture analysis in the prediction of IDH status in low-grade gliomas
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_swepub_primary_oai_swepub_ki_se_492051
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_swepub_primary_oai_swepub_ki_se_492051
Other Identifiers
ISSN
0303-8467,1872-6968
E-ISSN
1872-6968
DOI
10.1016/j.clineuro.2017.12.007
