1. Diffusion kurtosis imaging histogram parameter metrics predicting survival in integrated molecular subtypes of diffuse glioma: An observational cohort study.
- Author
-
Hempel JM, Brendle C, Bender B, Bier G, Kraus MS, Skardelly M, Richter H, Eckert F, Schittenhelm J, Ernemann U, and Klose U
- Subjects
- Adult, Aged, Biomarkers metabolism, Brain Neoplasms pathology, Diffusion Magnetic Resonance Imaging methods, Diffusion Tensor Imaging, Epidemiologic Methods, Female, Glioma pathology, Humans, Isocitrate Dehydrogenase metabolism, Male, Mental Retardation, X-Linked mortality, Mental Retardation, X-Linked pathology, Middle Aged, Prognosis, Retrospective Studies, World Health Organization, alpha-Thalassemia mortality, alpha-Thalassemia pathology, Brain Neoplasms mortality, Glioma mortality
- Abstract
Purpose: The aim of the study was to assess the predictive value of preoperatively assessed diffusion kurtosis imaging (DKI) metrics as prognostic factors in the 2016 World Health Organization Classification of Tumors of the Central Nervous System integrated glioma groups., Material and Methods: Seventy-seven patients with histopathologically confirmed treatment-naïve glioma were retrospectively assessed between 08/2013 and 10/2017 using mean kurtosis (MK) and mean diffusivity (MD) histogram parameters from DKI, overall and progression-free survival, and relevant prognostic molecular data (isocitrate dehydrogenase, [IDH]; alpha-thalassemia/mental retardation syndrome X-linked, [ATRX]; chromosome 1p/19q loss of heterozygosity). Receiver operating characteristic (ROC) analysis was performed on metric variables to determine the optimal cutoff-values. The Kaplan-Meier method was used to assess univariate survival data. A multivariate Cox proportional hazards model was performed on significant results from the univariate analysis., Results: There were significant differences in overall and progression-free survival between patient age (p = 0.001), resection statuses (p = 0.002), WHO glioma grades (p < 0.0001), and integrated molecular profiles (p < 0.0001). Survival was significantly better in patients with lower MK and higher MD values globally (p = 0.009), in gliomas without chromosome 1p/19q LOH (p < 0.0001), and those with retained ATRX expression (p = 0.008)., Conclusions: Patient age and MK from DKI from DKI are relevant factors for preoperatively predicting overall and progression-free survival. Regarding the molecular subgroups, they seem to be predictive in gliomas with ATRX retention, representing a feature of IDH wild-type gliomas., (Copyright © 2019 Elsevier B.V. All rights reserved.)
- Published
- 2019
- Full Text
- View/download PDF