Recurrent Glioblastoma Treated with Bevacizumab: Contrast-enhanced T1-weighted Subtraction Maps Improve Tumor Delineation and Aid Prediction of Survival in a Multicenter Clinical Trial
Adult
Gadolinium DTPA
Male
Oncology and Carcinogenesis
Clinical Trials and Supportive Activities
Contrast Media
Clinical sciences
Angiogenesis Inhibitors
Antibodies, Monoclonal, Humanized
Medical and Health Sciences
Antibodies
03 medical and health sciences
Rare Diseases
0302 clinical medicine
Clinical Research
Predictive Value of Tests
Monoclonal
Humans
Humanized
Cancer
Pediatric
Biomedical and Clinical Sciences
Brain Neoplasms
Neurosciences
Middle Aged
Magnetic Resonance Imaging
Brain Disorders
3. Good health
Brain Cancer
Bevacizumab
Survival Rate
Nuclear Medicine & Medical Imaging
Neoplasm Recurrence
Treatment Outcome
Local
Subtraction Technique
Female
Neoplasm Recurrence, Local
Glioblastoma
DOI:
10.1148/radiol.13131305
Publication Date:
2013-12-02T12:10:40Z
AUTHORS (9)
ABSTRACT
To compare the capability to aid prediction of clinical outcome measures, including progression-free survival (PFS) and overall survival (OS), between volumetric estimates from contrast material-enhanced (CE) T1-weighted subtraction maps and traditional segmentation in a randomized multicenter clinical trial of recurrent glioblastoma (GBM) patients treated with bevacizumab.All patients participating in this study signed institutional review board-approved informed consent at their respective institutions prior to enrolling in the multicenter clinical trial. One-hundred sixty patients with recurrent GBM enrolled as part of a HIPAA-compliant, multicenter clinical trial (AVF3708 g, BRAIN trial). Contrast-enhancing tumor volumes and change in volumes as a response to therapy were quantified by using either conventional segmentation or CE T1-weighted subtraction maps created by voxel-by-voxel subtraction of intensity-normalized nonenhanced T1-weighted images from CE T1-weighted images. These volumes were then tested as predictors of PFS and OS by using log-rank univariate analysis, the multivariate Cox proportional hazards regression model, and receiver operating characteristic analysis.Use of CE T1-weighted subtraction maps qualitatively improved visualization and improved quantification of tumor volume after bevacizumab treatment. Significant trends between the volume of tumor and change in tumor volume after therapy on CE T1-weighted subtraction maps were found for both PFS and OS (pretreatment volume < 15 cm(3), P < .003; posttreatment volume < 7.5 cm(3), P < .05; percentage change in volume > 25%, P = .004 for PFS and P = .053 for OS). CE T1-weighted subtraction maps were significantly better at aiding prediction of 6-month PFS and 12-month OS compared with conventional segmentation by using receiver operating characteristic analysis (P < .05).Use of CE T1-weighted subtraction maps improved visualization and aided better prediction of patient survival in recurrent GBM treated with bevacizumab compared with conventional segmentation of CE T1-weighted images. Clinical trial registration no. NCT00345163. Online supplemental material is available for this article.
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