Cargando…
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...
Autores principales: | , , , , , , , , , , , |
---|---|
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 |
_version_ | 1782441596863643648 |
---|---|
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. |
format | Online Article Text |
id | pubmed-4936699 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT puigjosep intravoxelincoherentmotionmetricsaspotentialbiomarkersforsurvivalinglioblastoma AT sanchezgonzalezjavier intravoxelincoherentmotionmetricsaspotentialbiomarkersforsurvivalinglioblastoma AT blascogerard intravoxelincoherentmotionmetricsaspotentialbiomarkersforsurvivalinglioblastoma AT daunisiestadellapepus intravoxelincoherentmotionmetricsaspotentialbiomarkersforsurvivalinglioblastoma AT federauchristian intravoxelincoherentmotionmetricsaspotentialbiomarkersforsurvivalinglioblastoma AT alberichbayarriangel intravoxelincoherentmotionmetricsaspotentialbiomarkersforsurvivalinglioblastoma AT biarnescarles intravoxelincoherentmotionmetricsaspotentialbiomarkersforsurvivalinglioblastoma AT naelkambiz intravoxelincoherentmotionmetricsaspotentialbiomarkersforsurvivalinglioblastoma AT essigmarco intravoxelincoherentmotionmetricsaspotentialbiomarkersforsurvivalinglioblastoma AT jainrajan intravoxelincoherentmotionmetricsaspotentialbiomarkersforsurvivalinglioblastoma AT wintermarkmax intravoxelincoherentmotionmetricsaspotentialbiomarkersforsurvivalinglioblastoma AT pedrazasalvador intravoxelincoherentmotionmetricsaspotentialbiomarkersforsurvivalinglioblastoma |