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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
Diffusion tensor and dynamic susceptibility contrast MRI in glioblastoma
Anastasia K Zikou1, George A Alexiou, Paraskevi Kosta
1Department of Radiology, University Hospital of Ioannina, Ioannina, Greece.
Clinical Neurology and Neurosurgery
|January 24, 2012
Summary
Diffusion tensor imaging (DTI) and dynamic susceptibility contrast (DSC) MRI metrics correlate with glioblastoma proliferation. Fractional anisotropy (FA) values may predict patient survival.
Area of Science:
- Neuroimaging
- Oncology
- Radiology
Background:
- Glioblastoma (GBM) is an aggressive brain tumor with poor prognosis.
- Accurate assessment of tumor proliferation and patient survival is crucial for treatment planning.
Purpose of the Study:
- To investigate the correlation between diffusion tensor imaging (DTI) and dynamic susceptibility contrast (DSC) perfusion MRI metrics and the Ki-67 labeling index in glioblastomas.
- To explore the potential of these MRI metrics in predicting patient survival.
Main Methods:
- Prospective study of 17 glioblastoma patients.
- Pre-operative DTI and DSC MRI were performed.
- Tumor/normal tissue ratios for apparent diffusion coefficient (ADC), fractional anisotropy (FA), relative cerebral blood volume (rCBV), relative cerebral blood flow (rCBF), and relative mean transit time (rMTT) were calculated.
- Ki-67 antigen expression was assessed in excised tumor specimens using MIB-1 immunostaining.
Main Results:
- Significant correlations were found between Ki-67 index and ADC ratio (r = -0.528, p = 0.029) and FA ratio (r = 0.589, p = 0.012).
- rCBV and rMTT showed a trend towards significant correlation with Ki-67 index (p = 0.07 and p = 0.06, respectively).
- A trend towards better survival was observed for patients with gross total tumor excision and FA values lower than 0.48 (p = 0.1 and p = 0.09, respectively).
Conclusions:
- Tumor/normal tissue ratios of ADC, FA, rCBV, and rMTT may indicate glioma proliferation.
- FA values show potential for predicting survival in glioblastoma patients.
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