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Objective To investigate CT features of solitary fibrous tumor of the mediastinum(SFTM),and to analyze the causes of misdiagnosis of this disease.Methods CT features of 5 patients of SFTM confirmed operatively and pathologically were retrospec-tively analyzed.All patients underwent before operation but were misdiagnosed.Results 3 cases were located in right mediastinum with oval-shap,well-defined margin,and “pleural tail sign”,2 cases were located in right thoracis cavity with unwell-defined margin, and in the adjacent lung were oppressed.In all 5 patients,the mean median of tumors was 1 1.5 cm(8.6-1 5 cm),non-homogeneous density of tumors were seen on plain CT scans,and obvious non-homogeneous enhancement with“geographic pattern”on contrast-en-hanced CT.Conclusion CT can clearly reveal the size and the appearance of SFTM,adjacent architectures,the final diagnosis de-pends on histopathological and immunohistochemical findings of the tumors.To un-know is the main caused of misdiagnosis of medi-astinal SFT.
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Background and purpose:The prognosis in patients with early breast cancer(EBC) was poorly defined by clinical and histopathological features.There were more than 200 genes that might be correlated with development,progression,recurrence and prognosis of breast cancer in the published literature.This study evaluated the prognosis of patients with EBC at molecule level according to the protein expressions of 16 selecting genes(HER2,ER,PR,BCL2,Ki-67,BMYB,Cyclin B1,STK15,MMP11,BAG1,NM23,PTEN,P53,P27,VEGF,PCN A).Methods:The immunohistochemical method was used to detect the protein expressions of these genes in 76 patients with EBC and the statistical analysis was performed by COX proportional hazards model.Results:COX proportional hazard model revealed that BCL2,VEGF and STK15 were independent prognostic factors for patients with EBC.A formula of PI was set up according the three genes.The predictive outcomes with PI were compared with the actual follow-up outcomes in 48 patients with EBC.As a result,the predictive accuracy of good and bad prognosis was 86.67% and 91.67%,respectively.Conclusion:A formula of PI derived from protein expressions of the 16 genes correlated with breast cancer was ultimately set up and might be used to predict the outcomes of the patients with EBC.