Mass Effect Deformation Heterogeneity (MEDH) on Gadolinium-contrast T1-weighted MRI is associated with decreased survival in patients with right cerebral hemisphere Glioblastoma: A feasibility study
Year: 2019
Type: article
Study design: Observational Study
Abstract: Subtle tissue deformations caused by mass-effect in Glioblastoma (GBM) are often not visually evident, and may cause neurological deficits, impacting survival. Radiomic features provide sub-visual quantitative measures to uncover disease characteristics. We present a new radiomic feature to capture mass effect-induced deformations in the brain on Gadolinium-contrast (Gd-C) T1w-MRI, and their impact on survival. Our rationale is that larger variations in deformation within functionally eloquent areas of the contralateral hemisphere are likely related to decreased survival. Displacements in the cortical and subcortical structures were measured by aligning the Gd-C T1w-MRI to a healthy atlas. The variance of deformation magnitudes was measured and defined as Mass Effect Deformation Heterogeneity (MEDH) within the brain structures. MEDH values were then correlated with overall-survival of 89 subjects on the discovery cohort, with tumors on the right (n = 41) and left (n = 48) cerebral hemispheres, and evaluated on a hold-out cohort (n = 49 subjects). On both cohorts, decreased survival time was found to be associated with increased MEDH in areas of language comprehension, social cognition, visual perception, emotion, somato-sensory, cognitive and motor-control functions, particularly in the memory areas in the left-hemisphere. Our results suggest that higher MEDH in functionally eloquent areas of the left-hemisphere due to GBM in the right-hemisphere may be associated with poor-survival.
Source: Scientific Reports
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $1,790
Funders: U.S. Department of Defense, Wallace H. Coulter Foundation, Case Western Reserve University, Georgia Clinical and Translational Science Alliance, National Institutes of Health, National Cancer Institute, National Institute of Biomedical Imaging and Bioengineering, National Center for Research Resources, DOD Peer Reviewed Cancer Research Program
Awards: G1642746824, G1815946096, Pathology Image Informatics Platform for visualization, analysis and management, BIOMEDICAL ENGINEERING RESEARCH FACILITIES, G3054115203, G3082257526, CHIRP Computerized Histologic Risk Predictor (CHiRP) for Early Stage Lung Cancers, G4119534169, G4787017382, MR Fingerprinting and Computerized Decision Support for Prostate Cancer, Computerized histologic image predictor of cancer outcome, G5721952423, Quantitative Histomorphometric Risk Classifier (QuHbIC) in HPV + Oropharyngeal Carcinoma, G5850682332, G6239819367, G761790451, MRI-PATHOLOGY CORRELATION FOR IMAGE ANALYTICS-BASED TREATMENT OUTCOME ASSESSMENT AND MARGIN PLANNING IN RECTAL CANCERS, Neuroimaging Training Program, G942918344
OpenAlex ID: W2932814931
