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Differential diagnosis between gliosarcoma and glioblastoma based on T1-enhancement histogram analysis in maximum level |
WEN Meng-meng, ZHANG Yong, CHENG Jing-liang, HUANG Hui-yu |
Department of MRI, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China |
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Abstract Objective: To study the differential diagnosis value of dynamic contrast-enhanced MRI(DCE-MRI) histogram between gliosarcoma and glioblastoma in maximum level. Methods: We collected 65 cases, which included 35 cases of glioblastoma and 30 cases of gliosarcoma. Region of interest(ROI) was drawn on the axial enhanced MR images on each layer of tumors by using Mazda software, the gray histogram was analyzed, and statistical analysis was performed on the two sets of parameters obtained from histograms. Results: After analysing the nine parameters by gray histogram, two parameters, skewness and kurtosis, showed significant difference between the two groups. The other seven parameters, including mean, variance, perc.01%, perc.10%, perc.50%, perc.90% and perc.99%, showed no statistical significance. Conclusion: Histogram analysis of DCE-MRI has diagnostic value between gliosarcoma and glioblastoma in maximum level.
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Received: 23 November 2018
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