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Intravoxel Incoherent Motion Metrics as Potential Biomarkers for Survival in Glioblastoma

OBJECTIVE: 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 pat...

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Autores principales: Puig, Josep, Sánchez-González, Javier, Blasco, Gerard, Daunis-i-Estadella, Pepus, Federau, Christian, Alberich-Bayarri, Ángel, Biarnes, Carles, Nael, Kambiz, Essig, Marco, Jain, Rajan, Wintermark, Max, Pedraza, Salvador
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4936699/
https://www.ncbi.nlm.nih.gov/pubmed/27387822
http://dx.doi.org/10.1371/journal.pone.0158887
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author Puig, Josep
Sánchez-González, Javier
Blasco, Gerard
Daunis-i-Estadella, Pepus
Federau, Christian
Alberich-Bayarri, Ángel
Biarnes, Carles
Nael, Kambiz
Essig, Marco
Jain, Rajan
Wintermark, Max
Pedraza, Salvador
author_facet Puig, Josep
Sánchez-González, Javier
Blasco, Gerard
Daunis-i-Estadella, Pepus
Federau, Christian
Alberich-Bayarri, Ángel
Biarnes, Carles
Nael, Kambiz
Essig, Marco
Jain, Rajan
Wintermark, Max
Pedraza, Salvador
author_sort Puig, Josep
collection PubMed
description OBJECTIVE: 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/mm(2). 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 f(CER) and D*(CER) correlated with rCBF(CER.) The best cutoffs for 6-month survival were f(CER)>9.86% and D*(CER)>21.712 x10(−3)mm(2)/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); f(CER) combined with treatment predicted survival with 100% accuracy. CONCLUSIONS: The IVIM-metrics f(CER) and D*(CER) are promising biomarkers of 6-month survival in newly diagnosed glioblastoma.
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spelling pubmed-49366992016-07-22 Intravoxel Incoherent Motion Metrics as Potential Biomarkers for Survival in Glioblastoma Puig, Josep Sánchez-González, Javier Blasco, Gerard Daunis-i-Estadella, Pepus Federau, Christian Alberich-Bayarri, Ángel Biarnes, Carles Nael, Kambiz Essig, Marco Jain, Rajan Wintermark, Max Pedraza, Salvador PLoS One Research Article OBJECTIVE: 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/mm(2). 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 f(CER) and D*(CER) correlated with rCBF(CER.) The best cutoffs for 6-month survival were f(CER)>9.86% and D*(CER)>21.712 x10(−3)mm(2)/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); f(CER) combined with treatment predicted survival with 100% accuracy. CONCLUSIONS: The IVIM-metrics f(CER) and D*(CER) are promising biomarkers of 6-month survival in newly diagnosed glioblastoma. Public Library of Science 2016-07-07 /pmc/articles/PMC4936699/ /pubmed/27387822 http://dx.doi.org/10.1371/journal.pone.0158887 Text en © 2016 Puig et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Puig, Josep
Sánchez-González, Javier
Blasco, Gerard
Daunis-i-Estadella, Pepus
Federau, Christian
Alberich-Bayarri, Ángel
Biarnes, Carles
Nael, Kambiz
Essig, Marco
Jain, Rajan
Wintermark, Max
Pedraza, Salvador
Intravoxel Incoherent Motion Metrics as Potential Biomarkers for Survival in Glioblastoma
title Intravoxel Incoherent Motion Metrics as Potential Biomarkers for Survival in Glioblastoma
title_full Intravoxel Incoherent Motion Metrics as Potential Biomarkers for Survival in Glioblastoma
title_fullStr Intravoxel Incoherent Motion Metrics as Potential Biomarkers for Survival in Glioblastoma
title_full_unstemmed Intravoxel Incoherent Motion Metrics as Potential Biomarkers for Survival in Glioblastoma
title_short Intravoxel Incoherent Motion Metrics as Potential Biomarkers for Survival in Glioblastoma
title_sort intravoxel incoherent motion metrics as potential biomarkers for survival in glioblastoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4936699/
https://www.ncbi.nlm.nih.gov/pubmed/27387822
http://dx.doi.org/10.1371/journal.pone.0158887
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