Clinical study on the corration of pathological classification of brainstem glioma with MRI ;imaging
10.3969/J.ISSN.1672-8270.2015.01.029
- VernacularTitle:脑干胶质瘤磁共振成像影像与病理分级关系的临床研究
- Author:
Jian HAO
- Publication Type:Journal Article
- Keywords:
Brainstem glioma;
Magnetic resonance imaging;
Imaging;
Pathological grading
- From:
China Medical Equipment
2015;(1):92-95
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the corration of pathological classification of brainstem glioma with MRI imaging. Methods: The clinical data of 98 patients with BSG was retrospectively analyzed. of 98 patients, 66 cases were low level of brainstem gliomas, 32 cases were high level of brainstem gliomas. MRI images of different pathological grading of BSG were analyzed. Results:Glioma growth way was similar between the two groups and there was no statistical significance. But the proportion of basal artery circumvolutio, necrosis, growth across the midline of the high level group were significantly higher than the control group, there was a significant statistical significance (P<0.01). And the proportion of the cystic lesion in patients of low level group was obviously higher than that of high level group, with significant difference (P<0.01). of high level group patients with a ratio of tumor>2 cm in diameter was higher than the control group, and the difference was statistically significant (P<0.05). The improved forms of high level group were mainly wreath, wall nodules (P<0.01), and improved significantly stronger than the low level group (P<0.01). The main uniformity of high level group in show was characteristics with less uniformity (P<0.01). The MRI measuring minimum thickness was similar between the two groups and had no statistical significance. But MRI measuring thickness, the ratio and gap between maximum thickness and minimum thickness of high level group were bigger than the value of low level group, with statistically significant difference (P<0.001). Conclusion:MRI imaging and MRI enhanced characteristics of brainstem glioma may predict and judge the malignant degree and pathological grading of brainstem glioma.
