Intravoxel Incoherent Motion Metrics as Potential Biomarkers for Survival in Glioblastoma.
- Puig J Imaging Research Unit, Institut de Diagnostic per la Imatge (IDI), Girona Biomedical Research Institute (IDIBGI), Hospital Universitari Dr Josep Trueta, Girona, Spain.
- Sánchez-González J Philips Healthcare Ibérica, Madrid, Spain.
- Blasco G Imaging Research Unit, Institut de Diagnostic per la Imatge (IDI), Girona Biomedical Research Institute (IDIBGI), Hospital Universitari Dr Josep Trueta, Girona, Spain.
- Daunis-I-Estadella P Department of Computer Science, Applied Mathematics, and Statistics, University of Girona, Girona, Spain.
- Federau C Department of Diagnostic and Interventional Radiology, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne, Lausanne, Switzerland.
- Alberich-Bayarri Á Biomedical Imaging Research Group (GIBI230), La Fe Polytechnics and University Hospital, La Fe Health Research Institute, Valencia, Spain.
- Biarnes C Imaging Research Unit, Institut de Diagnostic per la Imatge (IDI), Girona Biomedical Research Institute (IDIBGI), Hospital Universitari Dr Josep Trueta, Girona, Spain.
- Nael K Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, United States of America.
- Essig M Department of Radiology, University of Manitoba, Winnipeg, Canada.
- Jain R Division of Neuroradiology, Department of Radiology, NYU Langone Medical Center, New York, United States of America.
- Wintermark M Department of Radiology, Neuroradiology Division, Stanford University, Palo Alto, United States of America.
- Pedraza S Imaging Research Unit, Institut de Diagnostic per la Imatge (IDI), Girona Biomedical Research Institute (IDIBGI), Hospital Universitari Dr Josep Trueta, Girona, Spain.
- 2016-07-09
Published in:
- PloS one. - 2016
Aged
Biomarkers
Brain
Brain Neoplasms
Diffusion Magnetic Resonance Imaging
Female
Glioblastoma
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
English
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/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.
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.
- Language
-
- English
- Open access status
- gold
- Identifiers
-
- DOI 10.1371/journal.pone.0158887
- PMID 27387822
- Persistent URL
- https://sonar.ch/global/documents/281335
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