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Differentiating brain metastasis from glioblastoma by time-dependent diffusion MRI
Kiyohisa Kamimura1, Yoshiki Kamimura2, Tsubasa Nakano2
1Department of Advanced Radiological Imaging, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan. kiyohisa@m2.kufm.kagoshima-u.ac.jp.
Summary
Time-dependent diffusion MRI parameters effectively distinguish glioblastomas from brain metastases. The study found significant differences in ADC change (cADC) and relative ADC change (rcADC) in enhancing regions, aiding diagnosis.
Area of Science:
- Radiology
- Neuro-oncology
- Medical Imaging
Background:
- Distinguishing glioblastomas from brain metastases is clinically significant.
- Conventional diffusion MRI parameters often show overlap between these tumor types.
Purpose of the Study:
- To evaluate the efficacy of time-dependent diffusion MRI parameters in differentiating glioblastomas from brain metastases.
- To compare the diagnostic performance of conventional and time-dependent diffusion parameters.
Main Methods:
- Retrospective analysis of 65 glioblastomas and 27 brain metastases using oscillating gradient spin-echo (OGSE) and pulsed gradient spin-echo (PGSE) diffusion MRI.
- Calculation of apparent diffusion coefficient (ADC) maps, ADC change (cADC), and relative ADC change (rcADC).
Main Results:
- In enhancing regions, mean cADC and rcADC values were significantly higher in metastases than glioblastomas (p < 0.01).
- AUC values for mean cADC (0.877) and rcADC (0.819) were significantly higher than conventional ADC indices (p < 0.001).
- No significant differences were observed in peritumoral regions for any ADC indices.
Conclusions:
- Time-dependent diffusion MRI parameters, specifically cADC and rcADC, demonstrate potential for differentiating brain metastases from glioblastomas.
- These advanced diffusion metrics offer improved diagnostic accuracy compared to conventional ADC values in enhancing tumor regions.
