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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
Primary cerebral lymphoma and glioblastoma multiforme: differences in diffusion characteristics evaluated with
C-H Toh1, M Castillo, A M-C Wong
1Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Tao-Yuan, Taiwan. eldomtoh@hotmail.com
AJNR. American Journal of Neuroradiology
|December 11, 2007
Summary
Diffusion Tensor Imaging (DTI) can differentiate primary cerebral lymphoma from glioblastoma multiforme (GBM). Lower fractional anisotropy (FA) and apparent diffusion coefficient (ADC) values in lymphoma aid in distinguishing it from GBM.
Area of Science:
- Neuroimaging
- Radiology
- Oncology
Background:
- Distinguishing primary cerebral lymphoma from glioblastoma multiforme (GBM) is challenging with conventional MRI.
- Diffusion Tensor Imaging (DTI) offers potential for improved characterization.
Purpose of the Study:
- To investigate differences in fractional anisotropy (FA) and apparent diffusion coefficient (ADC) between primary cerebral lymphoma and GBM.
- To evaluate the efficacy of DTI in differentiating these two brain tumors.
Main Methods:
- Preoperative DTI was performed on 10 lymphoma and 10 GBM patients.
- Regions of interest were analyzed in solid-enhancing tumor areas and contralateral normal-appearing white matter (NAWM).
- Statistical analysis and receiver operating characteristic (ROC) curve analysis were used to determine differentiating cutoff values.
Main Results:
- FA and ADC values were significantly lower in lymphoma compared to NAWM.
- Mean FA, FA ratio, ADC, and ADC ratio values were significantly different between lymphoma and GBM.
- Established cutoff values for FA, FA ratio, ADC, and ADC ratio can distinguish between lymphoma and GBM.
Conclusions:
- Primary cerebral lymphoma exhibits significantly lower FA and ADC values than GBM.
- DTI is a valuable tool for differentiating primary cerebral lymphoma from GBM.
