Objective: Astrocytoma is the common type of glioma. But the MRI scanning for astrocytoma preoperation pathological diagnosis is not exact. The purpose of this study was to use the MRI multi quantitative parameters to improve the diagnosis of astrocytoma and exploit their molecular mechanism related to the expression of HIF-1α.
Methods: Superconducting MR scanner and its work station were used to calculate the MRI multi quantitative parameters of the selected patients in this experiment. Scion Image Beta4.03 software was used to get the cellular density of tumor tissue. The expression of HIF-1α in astrocytoma specimens was detected by immunohistochemistry method. The correlation of MRI multi quantitative parameters and the expression of HIF-1α was analyzed by statistical software.
Result: The values of ADC, RSIGd, EP, EI, cellular density and the expression of HIF-1α were changed with the malignant degree of astrocytoma to some extent, but not every quantitative parameter was related to the expression of HIF-1α.
Conclusion: The MRI multi quantitative parameters binding with conventional MRI imaging can significantly raise the diagnostic accuracy of astrocytoma preoperatively. MRI features could indirectly reflect the biological behavior of astrocytoma. The peritumoral edema can't be explained by only one theory.
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