NeuroImage Clinical · 2016 · 68 citations · 23 references
MedicineOncologyRadiologyDiagnostic ImagingDiagnostic RadiologyNeuro-oncologyBrain TumorsGlioblastomaMedical ImagingMolecular Classification Of TumorsTumor CharacterizationTumor ClassificationChi-square TestDemographic Data ExtractionDigital Brain AtlasesGlioblastoma Molecular SubtypesGlioblastoma PathologyPatient Demographics CaptureTemporal Lobe TumorsTumor Segmentation
BACKGROUND AND PURPOSE: In treating glioblastoma (GB), surgical and chemotherapeutic treatment guidelines are, for the most part, independent of tumor location. In this work, we compiled imaging data from a large cohort of GB patients to create statistical atlases illustrating the disease spatial frequency as a function of patient demographics as well as tumor characteristics. MATERIALS AND METHODS: Two-hundred-six patients with pathology-proven glioblastoma were included. Of those, 65 had pathology-proven recurrence and 113 had molecular subtype and genetic information. We used validated software to segment the tumors in all patients and map them from patient space into a common template. We then created statistical maps that described the spatial location of tumors with respect to demographics and tumor characteristics. We applied a chi-square test to determine whether pattern differences were statistically significant. RESULTS: The most frequent location for glioblastoma in our patient population is the right temporal lobe. There are statistically significant differences when comparing patterns using demographic data such as gender (p = 0.0006) and age (p = 0.006). Small and large tumors tend to occur in separate locations (p = 0.0007). The tumors tend to occur in different locations according to their molecular subtypes (p < 10(- 6)). The classical subtype tends to spare the frontal lobes, the neural subtype tend to involve the inferior right frontal lobe. Although the sample size is limited, there was a difference in location according to EGFR VIII genotype (p < 10(- 4)), with a right temporal dominance for EFGR VIII negative tumors, and frontal lobe dominance in EGFR VIII positive tumors. CONCLUSIONS: Spatial location of GB is an important factor that correlates with demographic factors and tumor characteristics, which should therefore be considered when evaluating a patient with GB and might assist in personalized treatment.
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Joseph R. Simpson, John Horton, Charles Scott et al. · International Journal of Radiation Oncology*Biology*Physics · 1993 · 535 citations
Probabilistic Radiographic Atlas of Glioblastoma Phenotypes
Benjamin M. Ellingson, Albert Lai, Robert J. Harris et al. · American Journal of Neuroradiology · 2012 · 231 citations · Full text