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Discrimination between Metastasis and Glioblastoma Multiforme Based on Morphometric Analysis of MR Images.
MedLine Citation:
PMID:  21051512     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
BACKGROUND AND PURPOSE: Solitary MET and GBM are difficult to distinguish by using MR imaging. Differentiation is useful before any metastatic work-up or biopsy. Our hypothesis was that MET and GBM tumors differ in morphology. Shape analysis was proposed as an indicator for discriminating these 2 types of brain pathologies. The purpose of this study was to evaluate the accuracy of this approach in the discrimination of GBMs and brain METs.
MATERIALS AND METHODS: The dataset consisted of 33 brain MR imaging sets of untreated patients, of which 18 patients were diagnosed as having a GBM and 15 patients, as having solitary metastatic brain tumor. The MR imaging was segmented by using the K-means algorithm. The resulting set of classes (also called "clusters") represented the variety of tissues observed. A morphology-based approach allowed discrimination of the 2 types of tumors. This approach was validated by a leave-1-patient-out procedure.
RESULTS: A method was developed for the discrimination of GBMs and solitary METs. Two masses out of 33 were wrongly classified; the overall results were accurate in 93.9% of the observed cases.
CONCLUSIONS: A semiautomated method based on a morphologic analysis was developed. Its application was found to be useful in the discrimination of GBM from solitary MET.
Authors:
L Blanchet; P W T Krooshof; G J Postma; A J Idema; B Goraj; A Heerschap; L M C Buydens
Publication Detail:
Type:  Journal Article     Date:  2010-11-04
Journal Detail:
Title:  AJNR. American journal of neuroradiology     Volume:  32     ISSN:  1936-959X     ISO Abbreviation:  AJNR Am J Neuroradiol     Publication Date:  2011 Jan 
Date Detail:
Created Date:  2011-01-14     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8003708     Medline TA:  AJNR Am J Neuroradiol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  67-73     Citation Subset:  IM    
Affiliation:
Institute for Molecules and Materials, Analytical Chemistry Radboud University Nijmegen, Nijmegen, the Netherlands.
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