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Classification of tumor area using combined DCE and DSC MRI in patients with glioblastoma

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Abstract

This study proposes an automatic method for identification and quantification of different tissue components: the non-enhanced infiltrative tumor, vasogenic edema and enhanced tumor areas, at the subject level, in patients with glioblastoma (GB) based on dynamic contrast enhancement (DCE) and dynamic susceptibility contrast (DSC) MRI. Nineteen MR data sets, obtained from 12 patients with GB, were included. Seven patients were scanned before and 8 weeks following bevacizumab initiation. Segmentation of the tumor area was performed based on the temporal data of DCE and DSC at the group-level using k-means algorithm, and further at the subject-level using support vector machines algorithm. The obtained components were associated to different tissues types based on their temporal characteristics, calculated perfusion and permeability values and MR-spectroscopy. The method enabled the segmentation of the tumor area into the enhancing permeable component; the non-enhancing hypoperfused component, associated with vasogenic edema; and the non-enhancing hyperperfused component, associated with infiltrative tumor. Good agreement was obtained between the group-level, unsupervised and subject-level, supervised classification results, with significant correlation (r = 0.93, p < 0.001) and average symmetric root-mean-square surface distance of 2.5 ± 5.1 mm. Longitudinal changes in the volumes of the three components were assessed alongside therapy. Tumor area segmentation using DCE and DSC can be used to differentiate between vasogenic edema and infiltrative tumors in patients with GB, which is of major clinical importance in therapy response assessment.

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Acknowledgments

To Guy Nadav for technical support and to Vicki Myers for editorial assistance. This work was performed in partial fulfillment of the requirements for a Ph.D. degree of Artzi Moran, Sackler Faculty of Medicine, Tel Aviv University, Israel.

Conflict of interest

We declare that there is no conflict of interest for any of the authors.

Funding

This work was supported by the James S. McDonnell Foundation number 220020176.

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Authors and Affiliations

  1. Functional Brain Center, The Wohl Institute for Advanced Imaging, Tel Aviv Sourasky Medical Center, 6 Weizman St, 64239, Tel Aviv, Israel

    Moran Artzi, Guy Nadav, Gilad Liberman, Orna Aizenstein & Dafna Ben Bashat

  2. Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel

    Moran Artzi & Dafna Ben Bashat

  3. Neuro-Oncology Service, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel

    Deborah T. Blumenthal & Felix Bokstein

  4. Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel

    Guy Nadav

  5. Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel

    Dafna Ben Bashat

Authors
  1. Moran Artzi
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  2. Deborah T. Blumenthal
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  4. Guy Nadav
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Correspondence to Dafna Ben Bashat.

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Artzi, M., Blumenthal, D.T., Bokstein, F. et al. Classification of tumor area using combined DCE and DSC MRI in patients with glioblastoma. J Neurooncol 121, 349–357 (2015). https://doi.org/10.1007/s11060-014-1639-3

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  • DOI: https://doi.org/10.1007/s11060-014-1639-3

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