Radiologically defined ecological dynamics and clinical outcomes in glioblastoma multiforme: preliminary results.
METHODS
We examined pretreatment magnetic resonance imaging (MRI) examinations from 32 patients with glioblastoma multiforme (GBM) enrolled in The Cancer Genome Atlas (TCGA). Spatial variations in T1 post-gadolinium and either T2-weighted or fluid attenuated inversion recovery sequences from each tumor MRI study were used to characterize each small region of the tumor by its local contrast enhancement and edema/cellularity ("habitat"). The patient cohort was divided into group 1 (survival < 400 days, n = 16) and group 2 (survival > 400 days, n = 16).


RESULTS
Histograms of relative values in each sequence demonstrated that the tumor regions were consistently divided into high and low blood contrast enhancement, each of which could be subdivided into regions of high, low, and intermediate cell density/interstitial edema. Group 1 tumors contained greater volumes of habitats with low contrast enhancement but intermediate and high cell density (not fully necrotic) than group 2. Both leave-one-out and 10-fold cross-validation schemes demonstrated that individual patients could be correctly assigned to the short or long survival group with 81.25% accuracy.


CONCLUSIONS
We demonstrate that novel image analytic techniques can characterize regional habitat variations in GBMs using combinations of MRI sequences. A preliminary study of 32 patients from the TCGA database found that the distribution of MRI-defined habitats varied significantly among the different survival groups. Radiologically defined ecological tumor analysis may provide valuable prognostic and predictive biomarkers in GBM and other tumors.
Department of Computer Science and Engineering, University of South Florida, Tampa, FL.
Mu
M
Zhou
Department of Computer Science and Engineering, University of South Florida, Tampa, FL.
Lawrence
L
Hall
Department of Computer Science and Engineering, University of South Florida, Tampa, FL.
Dmitry
D
Goldgof
Departments of Radiology and Experimental Imaging, Moffitt Cancer Center, Tampa, FL.
Robin
R
Russo
Departments of Radiology and Experimental Imaging, Moffitt Cancer Center, Tampa, FL.
Yoganand
Y
Balagurunathan
Departments of Radiology and Experimental Imaging, Moffitt Cancer Center, Tampa, FL.
Robert
R
Gillies
Departments of Radiology and Experimental Imaging, Moffitt Cancer Center, Tampa, FL ; Cancer Biology and Evolution Program, Moffitt Cancer Center, Tampa, FL.
Robert
R
Gatenby