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Differentiation of edema and glioma infiltration: proposal of a DTI-based probability map

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Abstract

Conflicting results on differentiating edema and glioma by diffusion tensor imaging (DTI) are possibly attributable to dissimilar spatial distribution of the lesions. Combining DTI-parameters and enhanced registration might improve prediction. Regions of edema surrounding 22 metastases were compared to tumor-infiltrated regions from WHO grade 2 (12), 3 (10) and 4 (18) gliomas. DTI data was co-registered using Tract Based Spatial Statistics (TBSS), to measure Fractional Anisotropy (FA) and Mean Diffusivity (MD) for white matter only, and relative changes compared to matching reference regions (dFA and dMD). A two-factor principal component analysis (PCA) on metastasis and grade 2 glioma was performed to explore a possible differentiating combined factor. Edema demonstrated equal MD and higher FA compared to grade 2 and 3 glioma (P < 0.001), but did not differ from glioblastoma. Differences were non-significant when corrected for spatial distribution, since reference regions differed strongly (P < 0.001). The second component of the PCA (PCA-C2) did differentiate edema and low-grade tumor (sensitivity 91.7 %, specificity 86.4 %). PCA-C2 scores were plotted voxel-wise as a probability-map, discerning distinct areas of presumed edema or tumor infiltration. Correction of spatial dependency appears essential when differentiating glioma from edema. A tumor-infiltration probability-map is presented, based on supplementary information of multiple DTI parameters and spatial normalization.

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The current work complies with the current laws of the country in which they were performed (The Netherlands).

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Authors and Affiliations

  1. Department Neurosurgery, Neurosurgical Center Amsterdam, VU University Medical Center, P.O. Box 7057, 1007, MB, Amsterdam, The Netherlands

    Friso W. A. Hoefnagels, Philip De Witt Hamer, Sander Idema & W. Peter Vandertop

  2. Department of Radiology, VU University Medical Center, Amsterdam, The Netherlands

    Ernesto Sanz-Arigita & Frederik Barkhof

  3. Department of Physics & Medical Technology, VU University Medical Center, Amsterdam, The Netherlands

    Joost P. A. Kuijer & Petra J. W. Pouwels

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  1. Friso W. A. Hoefnagels
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Correspondence to Friso W. A. Hoefnagels.

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Hoefnagels, F.W.A., De Witt Hamer, P., Sanz-Arigita, E. et al. Differentiation of edema and glioma infiltration: proposal of a DTI-based probability map. J Neurooncol 120, 187–198 (2014). https://doi.org/10.1007/s11060-014-1544-9

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