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Analysis of Microglia and Monocyte-derived Macrophages from the Central Nervous System by Flow Cytometry
Published on: June 22, 2017
Differences between primary central nervous system lymphoma and glioblastoma: topographic analysis using voxel-based
K Yamashita1, A Hiwatashi2, O Togao1
1Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-ku, Fukuoka 812-8582 Japan.
Voxel-based morphometry (VBM) analysis can help distinguish primary central nervous system lymphoma (PCNSL) from glioblastoma (GBM). This topographic analysis revealed a higher frequency in the splenium of the corpus callosum for PCNSL patients.
Area of Science:
- Neuroimaging
- Radiology
- Oncology
Background:
- Differentiating primary central nervous system lymphoma (PCNSL) from glioblastoma (GBM) is crucial for treatment planning.
- Both PCNSL and GBM are aggressive brain tumors that can present with similar imaging characteristics.
- Accurate diagnosis impacts patient management and prognosis.
Purpose of the Study:
- To assess the diagnostic feasibility of voxel-based morphometry (VBM) for differentiating PCNSL from GBM.
- To investigate the utility of topographic analysis in distinguishing these two brain tumors.
Main Methods:
- Retrospective analysis of 118 GBM and 52 PCNSL patients.
- Preoperative contrast-enhanced T1-weighted MRI (CE-T1WI) data were analyzed.
- Voxel-based morphometry (VBM) was performed using statistical parametric mapping (SPM) 12 after image normalization and region of interest definition.
Main Results:
- VBM analysis identified a significantly higher frequency of involvement in the splenium of the corpus callosum in PCNSL patients compared to GBM patients (p<0.05).
- This topographic finding suggests distinct spatial patterns between PCNSL and GBM.
Conclusions:
- Topographic analysis utilizing VBM is a valuable tool for differentiating PCNSL from GBM.
- VBM-based morphometric analysis can provide crucial diagnostic information for challenging neuro-oncological cases.
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