Relationship of pre-surgery metabolic and physiological MR imaging parameters to survival for patients with untreated GBM
- 15 November 2008
- journal article
- research article
- Published by Springer Nature in Journal of Neuro-Oncology
- Vol. 91 (3) , 337-351
- https://doi.org/10.1007/s11060-008-9719-x
Abstract
Glioblastoma Multiforme (GBM) are heterogeneous lesions, both in terms of their appearance on anatomic images and their response to therapy. The goal of this study was to evaluate the prognostic value of parameters derived from physiological and metabolic images of these lesions. Fifty-six patients with GBM were scanned immediately before surgical resection using conventional anatomical MR imaging and, where possible, perfusion-weighted imaging, diffusion-weighted imaging, and proton MR spectroscopic imaging. The median survival time was 517 days, with 15 patients censored. Absolute anatomic lesion volumes were not associated with survival but patients for whom the combined volume of contrast enhancement and necrosis was a large percentage of the T2 hyperintense lesion had relatively poor survival. Other volumetric parameters linked with less favorable survival were the volume of the region with elevated choline to N-acetylaspartate index (CNI) and the volume within the T2 lesion that had apparent diffusion coefficient (ADC) less than 1.5 times that in white matter. Intensity parameters associated with survival were the maximum and the sum of levels of lactate and of lipid within the CNI lesion, as well as the magnitude of the 10th percentile of the normalized ADC within the contrast-enhancing lesion. Patients whose imaging parameters indicating that lesions with a relatively large percentage with breakdown of the blood brain barrier or necrosis, large regions with abnormal metabolism or areas with restricted diffusion have relatively poor survival. These parameters may provide useful information for predicting outcome and for the stratification of patients into high or low risk groups for clinical trials.Keywords
This publication has 53 references indexed in Scilit:
- Feasibility of dynamic susceptibility contrast perfusion MR imaging at 3T using a standard quadrature head coil and eight-channel phased-array coil with and without SENSE reconstructionJournal of Magnetic Resonance Imaging, 2006
- Perfusion, diffusion and spectroscopy values in newly diagnosed cerebral gliomasNMR in Biomedicine, 2006
- Measuring blood volume and vascular transfer constant from dynamic, T‐weighted contrast‐enhanced MRIMagnetic Resonance in Medicine, 2004
- Is the long‐term survival of patients with intracranial glioblastoma multiforme overstated?Cancer, 2003
- Histopathological validation of a three-dimensional magnetic resonance spectroscopy index as a predictor of tumor presenceJournal of Neurosurgery, 2002
- Evaluating Pediatric Brain Tumor Cellularity with Diffusion-Tensor ImagingAmerican Journal of Roentgenology, 2001
- An automated technique for the quantitative assessment of 3D-MRSI data from patients with gliomaJournal of Magnetic Resonance Imaging, 2001
- Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithmIEEE Transactions on Medical Imaging, 2001
- Diffusion and perfusion magnetic resonance imaging in brain tumorsTopics in Magnetic Resonance Imaging, 1993
- Comparison of single‐shot localization methods (steam and press) for In vivo proton NMR spectroscopyNMR in Biomedicine, 1989