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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
Grading of supratentorial astrocytic tumors by using the difference of ADC value
Xu Bai1, Yunting Zhang, Ying Liu
1Department of Radiology, Tianjin Huanhu Hospital, Tianjin, China.
Introduction:
To investigate the application value of diffusion-weighted imaging (DWI), the difference of apparent diffusion coefficient (ADC(difference)) value calculated from ADC(difference) map was used, in evaluating the pathologic grade of astrocytic tumors.
Methods:
33 patients with histopathologically proven supratentorial astrocytic tumors were included in this prospective study. All of them received conventional magnetic resonance imaging (MRI), DWI with diffusion factor of 0 and 50 s/mm(2) and of 0 and 3,000 s/mm(2), and perfusion-weighted imaging (PWI) examinations. Pseudo-color ADC(difference) maps were obtained by means of using ADC map with low b value (0 and 50 s/mm(2)) minus ADC map with high b value (0 and 3,000 s/mm(2)).
Results:
The highest ADC(difference) value of grades I-II, grade III, and grade IV was (0.91 ± 0.07) × 10(-3), (1.81 ± 0.38) × 10(-3), and (2.36 ± 0.32) × 10(-3) mm(2)/s, respectively, and there was statistical difference among them (p < 0.001). The highest ADC(difference) value between low-grade (grades I-II) and high-grade (grades III-IV) astrocytic tumors showed statistical difference as well (p < 0.001). The highest ADC(difference) value of astrocytic tumors correlated positively with the pathologic grade of tumor (r = 0.853, p < 0.001). Positive correlation was found between the highest ADC(difference) value and maximum relative cerebral blood volume (rCBV) value (r = 0.829, p < 0.001) in high-grade astrocytic tumors; however, the highest ADC(difference) value and maximum rCBV value had no significant correlation in low-grade astrocytic tumors (r = 0.259, p = 0.536).
Conclusion:
Quantitative analysis of highest ADC(difference) value of supratentorial astrocytic tumors may provide valuable information of tumor microcirculation and perfusion, thus allowing a promising new method for preoperatively assessing the pathologic grade of tumor.

