Título:
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Intravoxel Incoherent Motion Metrics as Potential Biomarkers for Survival in Glioblastoma
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Autor/a:
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Puig Alcántara, Josep; Sánchez González, Javier; Blasco Solà, Gerard; Daunis i Estadella, Josep; Federau, Christian; Alberich Bayarri, Ángel; Biarnes, Carles; Nael, Kambiz; Essig, Marco; Jain, Rajan; Wintermark, Max; Pedraza Gutiérrez, Salvador
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Abstract:
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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.
Methods
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.
Results
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.
Conclusions
The IVIM-metrics fCER and D*CER are promising biomarkers of 6-month survival in newly diagnosed glioblastoma |
Materia(s):
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-Ressonància magnètica -Magnetic resonance -Cervell -- Tumors -Brain -- Tumors -Gliomes -Gliomas |
Derechos:
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Attribution 4.0 Spain
http://creativecommons.org/licenses/by4.0/es/ |
Tipo de documento:
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Artículo Artículo - Versión publicada |
Editor:
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Public Library of Science (PLoS)
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