Correlation of Intratumoral Susceptibility Signal Intensity and Apparent Diffusion Coefifcient with Pathological Grading of Brain Glioma
10.3969/j.issn.1005-5185.2013.12.004
- VernacularTitle:脑胶质瘤磁敏感信号及表观扩散系数与病理分级的相关性研究
- Author:
Jun GUO
;
Jiao MENG
;
Tong HAN
- Publication Type:Journal Article
- Keywords:
Glioma;
Diffusion magnetic resonance imaging;
Susceptibility weighted imaging;
Diffusion weighted imaging;
Apparent diffusion coefficient;
Pathology,surgical
- From:
Chinese Journal of Medical Imaging
2013;(12):894-898
- CountryChina
- Language:Chinese
-
Abstract:
Purpose To analyze the relevance between magnetic susceptibility weighted imaging intratumoral susceptibility signal intensity (ITSS) and diffusion weighted imaging apparent diffusion coefficient (ADC) with different grade gliomas, and to explore the value of ITSS and ADC in the preoperative grading of gliomas. Materials and Methods Fifty-two cases of glioma patients underwent magnetic susceptibility weighted imaging and diffusion weighted imaging scans, all subjects were divided into low-grade glioma group (18 cases) and high-grade glioma group (34 cases) according to brain tumor grading standard, correlation between ITSS grade and ADC values with tumor grade was analyzed, and ROC curve was used to evaluate the diagnostic efficacy of ITSS and ADC values in the grading of brain glioma. Results Difference of ITSS grading was statistically significant (χ2=27.458, P<0.01) among different grade gliomas;difference of ADC values between different grade gliomas was also statistically significant (U=689.000, P<0.01); there was a significant positive correlation (r=0.727, P<0.001) between ITSS grading and pathological grading, ADC values were significantly negatively correlated (r=-0.622, P<0.001) with tumor grading, and ITSS grading was significantly negatively correlated (r=-0.617, P<0.001) with ADC values among different grade brain gliomas. With pathological grading as reference standard, the diagnostic sensitivity, specificity, accuracy, positive predictive value and negative predictive value of ITSS for preoperative glioma grading was 85.29%, 77.78%, 82.69%, 87.88%and 73.68%, respectively, while the diagnostic sensitivity, specificity, accuracy, positive predictive value and negative predictive value of ADC values for preoperative glioma grading was 97.06%, 88.89%, 94.23%, 94.29%and 94.12%, respectively. Conclusion There is a significant correlation between ITSS grading, ADC values and pathological grading of gliomas, the combination use of ITSS and ADC values can significantly improve the preoperative grading accuracy of brain glioma.
