PT  - JOURNAL ARTICLE
AU  - Blanchet, L.
AU  - Krooshof, P.W.T.
AU  - Postma, G.J.
AU  - Idema, A.J.
AU  - Goraj, B.
AU  - Heerschap, A.
AU  - Buydens, L.M.C.
TI  - Discrimination between Metastasis and Glioblastoma Multiforme Based on Morphometric Analysis of MR Images
AID  - 10.3174/ajnr.A2269
DP  - 2011 Jan 01
TA  - American Journal of Neuroradiology
PG  - 67--73
VI  - 32
IP  - 1
4099  - http://www.ajnr.org/content/32/1/67.short
4100  - http://www.ajnr.org/content/32/1/67.full
SO  - Am. J. Neuroradiol.2011 Jan 01; 32
AB  - 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. CNScentral nervous systemGBMglioblastoma multiformeMETmetastasisMRSIMR spectroscopic imaging