Apparent diffusion coefficient histogram analysis for prediction of prognosis in glioblastoma
- PMID: 29274693
- DOI: 10.1016/j.neurad.2017.11.011
Apparent diffusion coefficient histogram analysis for prediction of prognosis in glioblastoma
Abstract
Background: To investigate the potential to predict prognosis of glioblastoma (GBM) patients by analysis of the broader and lower values in the lower distribution of apparent diffusion coefficient (ADCL) (B&L-ADCL) values in the ADC histogram.
Background: Presurgical publicly available diffusion-weighted images (DWI) and contrast-enhanced T1-weighted images from 76 GBM patients were analyzed. With applied 2-mixture normal distribution in the ADC histogram of enhanced lesions on T1-weighted images, the mean and width of ADCL were analyzed. We dichotomized the lower mean of ADCL (L-ADCL) and the broader width of ADCL (B-ADCL) at their own average. B&L-ADCL was defined as B-ADCL with L-ADCL. Progression-free survival (PFS) and overall survival (OS) were determined by using Cox proportional hazards analysis and the Kaplan-Meier method with the log-rank test. The difference between PFS and OS was calculated.
Results: Six (7.89%) patients had B&L-ADCL values. B&L-ADCL was strongly associated with poor PFS (hazard risk: 5.747; P=0.002) and OS (hazard risk: 3.331; P=0.018). There were significant differences in PFS (median, 77 vs. 302 days; P<0.001) and OS (median, 199 vs. 472 days; P=0.004) between the patents with and without B&L-ADCL. There was no significant difference in the OS-PFS duration difference between the patients with (median, 79 days) and without B&L-ADCL (median, 132 days) (P=0.348).
Conclusion: In this study, B&L-ADCL from pretreatment ADC analysis predicted poor PFS. B&L-ADCL may indicate higher cellularity and heterogeneity in GBM tumor tissue.
Keywords: Apparent diffusion coefficient; Glioblastoma; Histogram analysis; Progression-free survival.
Copyright © 2017 Elsevier Masson SAS. All rights reserved.
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