Intravoxel Incoherent Motion Metrics as Potential Biomarkers for Survival in Glioblastoma.

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Serval ID
serval:BIB_0385BC3288B5
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Intravoxel Incoherent Motion Metrics as Potential Biomarkers for Survival in Glioblastoma.
Journal
PloS one
Author(s)
Puig J., Sánchez-González J., Blasco G., Daunis-I-Estadella P., Federau C., Alberich-Bayarri Á., Biarnes C., Nael K., Essig M., Jain R., Wintermark M., Pedraza S.
ISSN
1932-6203 (Electronic)
ISSN-L
1932-6203
Publication state
Published
Issued date
2016
Peer-reviewed
Oui
Volume
11
Number
7
Pages
e0158887
Language
english
Notes
Publication types: Journal Article
Publication Status: epublish
Abstract
Intravoxel incoherent motion (IVIM) is an MRI technique with potential applications in measuring brain tumor perfusion, but its clinical impact remains to be determined. We assessed the usefulness of IVIM-metrics in predicting survival in newly diagnosed glioblastoma.
Fifteen patients with glioblastoma underwent MRI including spin-echo echo-planar DWI using 13 b-values ranging from 0 to 1000 s/mm2. Parametric maps for diffusion coefficient (D), pseudodiffusion coefficient (D*), and perfusion fraction (f) were generated for contrast-enhancing regions (CER) and non-enhancing regions (NCER). Regions of interest were manually drawn in regions of maximum f and on the corresponding dynamic susceptibility contrast images. Prognostic factors were evaluated by Kaplan-Meier survival and Cox proportional hazards analyses.
We found that fCER and D*CER correlated with rCBFCER. The best cutoffs for 6-month survival were fCER>9.86% and D*CER>21.712 x10-3mm2/s (100% sensitivity, 71.4% specificity, 100% and 80% positive predictive values, and 80% and 100% negative predictive values; AUC:0.893 and 0.857, respectively). Treatment yielded the highest hazard ratio (5.484; 95% CI: 1.162-25.88; AUC: 0.723; P = 0.031); fCER combined with treatment predicted survival with 100% accuracy.
The IVIM-metrics fCER and D*CER are promising biomarkers of 6-month survival in newly diagnosed glioblastoma.

Keywords
Aged, Biomarkers/metabolism, Brain/diagnostic imaging, Brain/pathology, Brain Neoplasms/diagnostic imaging, Brain Neoplasms/mortality, Diffusion Magnetic Resonance Imaging, Female, Glioblastoma/diagnostic imaging, Glioblastoma/mortality, Humans, Image Processing, Computer-Assisted, Kaplan-Meier Estimate, Male, Middle Aged, Motion, Observer Variation, Perfusion, Prognosis, Proportional Hazards Models, Prospective Studies, Sensitivity and Specificity, Treatment Outcome
Pubmed
Web of science
Open Access
Yes
Create date
19/07/2016 18:02
Last modification date
20/08/2019 12:25
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