Value of T2WI histogram analysis in differential diagnosis of glioblastoma and solitary metastatic brain tumor
10.13929/j.1003-3289.201709134
- VernacularTitle:T2WI直方图鉴别诊断脑胶质母细胞瘤与单发转移瘤的价值
- Author:
Guoqin ZHANG
1
;
Xin CHEN
;
Sijing ZHANG
;
Cuihua GAO
;
Xiuhang RUAN
;
Xinqing JIANG
;
Xinhua WEI
Author Information
1. 广州医科大学附属市一人民医院放射科
- Keywords:
Magnetic resonance imaging;
Histogram;
Glioblastoma;
Neoplasm metastasis
- From:Chinese Journal of Medical Imaging Technology
2017;33(12):1779-1783
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the value of T2WI histogram analysis in differential diagnosis of glioblastoma multiform (GBM) from solitary metastasis.Methods Data of 103 patients with pathologically confirmed GBM (GBM group,n=57) and solitary brain metastasis (solitary brain metastasis group,n =46) were retrospectively reviewed.All patients underwent conventional MR scanning,including axial T1WI,T2WI,FLAIR and contrast-enhanced T1WI before surgery.The histogram metrics,including mean,standard deviation (SD),median,kurtosis and skewness were calculated from ROI,which were manually placed on the maximal section of the solid part of tumors on T2WI by using Image J software.ROCs were generated to evaluate differential diagnostic performance of the histogram metrics with significant difference between both groups.Results The values of mean,SD and median were significantly higher in GMB group than those in solitary brain metastasis group (P＜0.05).The areas under ROC curve of mean,SD and median was 0.772 (95％ CI [0.681,0.862],P＜0.001),0.719 (95％ CI [0.616,0.822],P＜0.001) and 0.767 (95％ CI [0.674,0.860],P＜0.001),respectively;and the diagnosis cutoff value of mean,SD and median was 509.575,58.844 and 550.500,respectively.The sensitivity of the three parameters was 0.719,0.702 and 0.719,and the specificity was 0.783,0.652,and 0.826,respectively.Conclusion The value of mean,SD and median of T2WI histogram analysis can be helpful to differentiating GBM and solitary brain metastasis,of which the mean value is the best for differential diagnosis.
