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Relationship of pre-surgery metabolic and physiological MR imaging parameters to survival for patients with untreated GBM

  • Clinical study - patient study
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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.

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Acknowledgements

This study was supported by UC Discovery grants LSIT01-10107 and ITL-BIO04-10148 funded in conjunction with GE Healthcare, and NIH grants R01 CA059880 and P50 CA97257.

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Authors and Affiliations

  1. Department of Radiology, University of California, San Francisco, Box 2532, 1700 4th Street, San Francisco, CA, 94143-2532, USA

    Forrest W. Crawford, Inas S. Khayal, Suja Saraswathy & Sarah J. Nelson

  2. UCSF/UCB Joint Graduate Group in Bioengineering, University of California, San Francisco, CA, USA

    Inas S. Khayal, Colleen McGue, Soonmee Cha & Sarah J. Nelson

  3. Department of Radiation Oncology, University of California, San Francisco, CA, USA

    Andrea Pirzkall

  4. Department of Neurological Surgery, University of California, San Francisco, CA, USA

    Soonmee Cha, Kathleen R. Lamborn, Susan M. Chang & Mitchel S. Berger

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  1. Forrest W. Crawford
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Correspondence to Sarah J. Nelson.

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Crawford, F.W., Khayal, I.S., McGue, C. et al. Relationship of pre-surgery metabolic and physiological MR imaging parameters to survival for patients with untreated GBM. J Neurooncol 91, 337–351 (2009). https://doi.org/10.1007/s11060-008-9719-x

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