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Quantitative multi-modal MR imaging as a non-invasive prognostic tool for patients with recurrent low-grade glioma

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Abstract

Low-grade gliomas can vary widely in disease course and therefore patient outcome. While current characterization relies on both histological and molecular analysis of tissue resected during surgery, there remains high variability within glioma subtypes in terms of response to treatment and outcome. In this study we hypothesized that parameters obtained from magnetic resonance data would be associated with progression-free survival for patients with recurrent low-grade glioma. The values considered were derived from the analysis of anatomic imaging, diffusion weighted imaging, and 1H magnetic resonance spectroscopic imaging data. Metrics obtained from diffusion and spectroscopic imaging presented strong prognostic capability within the entire population as well as when restricted to astrocytomas, but demonstrated more limited efficacy in the oligodendrogliomas. The results indicate that multi-parametric imaging data may be applied as a non-invasive means of assessing prognosis and may contribute to developing personalized treatment plans for patients with recurrent low-grade glioma.

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Acknowledgements

We thank the staff of the UCSF Margaret Hart Surbeck Laboratory and the UCSF Brain Tumor SPORE Tissue Bank. This research was funded by the UCSF Brain Tumor SPORE (P50 CA097257).

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Authors and Affiliations

  1. Department of Radiology, University of California San Francisco, San Francisco,, CA, 94143, USA

    Evan Neill, Tracy Luks, Manisha Dayal, Llewellyn E. Jalbert, Soonmee Cha & Sarah J. Nelson

  2. Department of Pathology and Laboratory Medicine, University of California San Francisco, San Francisco, CA, 94143, USA

    Joanna J. Phillips & Arie Perry

  3. Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, 94143, USA

    Annette Molinaro & Susan M. Chang

Authors
  1. Evan Neill
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  2. Tracy Luks
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  3. Manisha Dayal
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  6. Llewellyn E. Jalbert
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  10. Sarah J. Nelson
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Correspondence to Tracy Luks.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

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Neill, E., Luks, T., Dayal, M. et al. Quantitative multi-modal MR imaging as a non-invasive prognostic tool for patients with recurrent low-grade glioma. J Neurooncol 132, 171–179 (2017). https://doi.org/10.1007/s11060-016-2355-y

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  • DOI: https://doi.org/10.1007/s11060-016-2355-y

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