Differentiation of edema and glioma infiltration: proposal of a DTI-based probability map
| Autor: | Ernesto J. Sanz-Arigita, Joost P.A. Kuijer, Philip C. De Witt Hamer, Friso W. A. Hoefnagels, Frederik Barkhof, Sander Idema, W. Peter Vandertop, Petra J. W. Pouwels |
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| Přispěvatelé: | Neurosurgery, Radiology and nuclear medicine, Physics and medical technology, CCA - Innovative therapy, CCA - Cancer Treatment and Quality of Life, ANS - Amsterdam Neuroscience |
| Rok vydání: | 2014 |
| Předmět: |
Glioma infiltration
Cancer Research Pathology medicine.medical_specialty Brain Edema Spatial normalization Diagnosis Differential White matter Glioma Edema Fractional anisotropy Image Processing Computer-Assisted medicine Humans Effective diffusion coefficient MR diffusion tensor imaging medicine.diagnostic_test Brain Neoplasms business.industry Prognosis medicine.disease Probability map Diffusion Tensor Imaging medicine.anatomical_structure Neurology Oncology Positron emission tomography Neurology (clinical) Neoplasm Grading medicine.symptom Nuclear medicine business Follow-Up Studies Diffusion MRI |
| Zdroj: | Journal of Neuro-Oncology, 120(1), 187-198. Kluwer Academic Publishers Hoefnagels, F W A, Versélewel de Witt Hamer, P C, Sanz-Arigita, E J, Idema, S, Kuijer, J P A, Pouwels, P J W, Barkhof, F & Vandertop, W P 2014, ' Differentiation of edema and glioma infiltration: proposal of a DTI-based probability map ', Journal of Neuro-Oncology, vol. 120, no. 1, pp. 187-198 . https://doi.org/10.1007/s11060-014-1544-9 Journal of neuro-oncology, 120(1), 187-198. Kluwer Academic Publishers |
| ISSN: | 0167-594X |
| DOI: | 10.1007/s11060-014-1544-9 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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