1.CT characteristics of solitary fibrous tumor of the mediastinum and analysis of 5 misdiagnosed cases
Jiayan LI ; Chunping GAO ; Wenzhao YUAN ; Hailing OU ; Min LI
Journal of Practical Radiology 2014;(6):930-932
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.
2.Protein expressions of multi-gene for predicting the prognosis of early breast cancer with COX model analysis
Yuzhou QIN ; Jianlun LIU ; Hailing OU ; Xiaoqiang ZHU ; Dehong HU
China Oncology 2001;0(02):-
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.
3.CT Diagnosis of Metastatic Liver Leiomyosarcoma
Hailing LIU ; Yanchan CAI ; Shanxing OU ; Min QIAN ; Weiguang LIN ; Yuanxing GUO
Journal of Practical Radiology 2001;0(06):-
Objective To analyze CT characteristics of metastatic liver leiomyosarcoma(MLL),and to improve the diagnostic accuracy of MLL.Methods CT manifestations and clinical characteristics of 5 patients with pathological-proved MLL were retrospectively analyzed.Plain and contrast-enhanced triphase(including arterial,portal phase in all cases and delayed phase in a part of cases) scans were performed.Results On plain scan,all lesions were hypo-dense."Bull-eye-sign" was found in two cases on contrast-enhanced scan,which is the typical metastatic feature.During arterial phase,the smaller lesions showed marked peripheral enhancement and central necrosis.The larger MLL presented as solid-cystic lesions,the parenchyma of tumor was rich in blood supply.Some cases presented mild hypo-dense or iso-dense comparing with the parenchyma of the liver on delayed phase.One case was misdiagnosed as hepatic hemangioma or focal nodular hyperplasia(FNH).Metastases were found out of the liver.Tumor thrombus of portal vein was not found in all of the cases.Conclusion MLL should be considered in the patients with history of extra-hepatic leiomyosarcoma,no marker expressions,no history of hepatitis,no tumor thrombus of portal vein and the special CT findings.