Evaluation of the differential diagnosis accuracy of meningioma and glioma by vascular endothelial growth factor combined with magnetic resonance imaging
10.3760/cma.j.issn.1006-9801.2014.02.010
- VernacularTitle:血管内皮生长因子联合磁共振成像鉴别诊断脑膜瘤和胶质瘤的准确度评价
- Author:
Cuixian ZHANG
;
Xiaojun ZHAO
;
Yanling AN
;
Peicui CHEN
;
Yao ZHANG
;
Tiane LUO
;
Guifen LIU
- Publication Type:Journal Article
- Keywords:
Meningioma;
Glioma;
ROC curve;
Vascular endothelial growth factor;
Magnetic resonance imaging;
Diagnosis,differential
- From:
Cancer Research and Clinic
2014;26(2):106-109,113
- CountryChina
- Language:Chinese
-
Abstract:
Objective To clarify evaluation methodology of the accuracy of differential diagnosis of meningioma and glioma,taking magnetic resonance imaging (MRI) and vascular endothelial growth factor (VEGF) into account.Methods According to the unified standard of design,114 cases were selected,which were diagnosed by postoperative pathological in Shanxi Cancer Hospital from March 2010 to October 2012.On the basis of hospital routine inspection,all patients needed MRI scan,enhancement scan,VEGF,ALP and LDH,with pathological diagnosis of glioma or meningioma.Using ROC curve analysis which took VEGF,T2WI into account,the accuracy of differential diagnosis could be evaluated.Results The results showed that the differential diagnosis accuracy were high relatively,the area under the ROC curve was 91.34 ％.When the T2WI were equisignal,low signal or high signal respectively,the area under the curve ROC were 97.62 ％,90.00 ％,88.34 ％.Conclusion To consider the MRI T2WI and VEGF,ROC curve regression model analysis can enhance the differential diagnosis accuracy of meningioma and glioma.
