AIM: In order to explore the mechanism of the GC - like effect of Tsiao Shaihutang (TSS), the down - regulation of glucocorticoid receptor and mRNA by TSS were studied. METHODS: GR sites were determined by receptor radio ligand binding assay method. At the same time, GR mRNA level was determined by quantitative reverse- transcriptive polymerase chain reaction (RT- PCR) method. RESULTS: (1) GR sites and GR mRNA level were down - regulated significantly after GC, TSS (P < 0.01 ) treatment . (2) GR sites and GR mRNA level in GC plus TSS group were obviously higher than those in GC group (P < 0.01 ). CONCLUSIONS: These data suggested that TSS can significantly down- regulate GR and GR mRNA level.

Objective To evaluate the diagnostic efficiency of the parameters obtained from PET/MR in brain tumors.Methods In this prospective study,28 patients (21 males,7 females,age range: 6-82 years) with clinical suspicion of brain tumor from November 2012 to September 2015 underwent PET/MR multi-modality imaging.The examination of PET/MR included 11C-MET PET and multiple MR sequences.The qualities of images were estimated firstly.The ROC curve and the accuracy of SUVmax,ADCmean,rCBF and NAA/(Cho+Cre) ratio were calculated.The pathology or final clinical diagnosis was taken as the standard.The diagnostic efficiency of the multi-modality imaging was determined based on the cutoff values of the four parameters.Two-sample t test was used to analyze the differences of parameters between glioma group and inflammatory group.Results SUVmax,ADCmean,rCBF and NAA/(Cho+Cre) ratio were validated to be effective parameters in diagnosing brain tumors with the diagnostic accuracy of 89.3％(25/28),82.1％(23/28),78.6％(22/28) and 75.0％(21/28),respectively.The SUVmax exhibited the highest diagnostic accuracy,while the diagnostic efficiency of the combination of four parameters was superior to the separate parameter.The values of SUVmax,rCBF and NAA/(Cho+Cre) ratio were significantly different between glioma group(n=10) and inflammatory group(n=11;t values:-2.31,-3.11,-2.77,all P<0.05).Conclusions PET/MR can provide a one-stop examination with multi-modality imaging of brain.The obtained parameters SUVmax,ADCmean,rCBF and NAA/(Cho+Cre) ratio,especially their combination,have effective diagnostic values on brain tumor.

Objective:To investigate the value of multiple parameters and the combined model based on 18F-fluorodeoxyglucose (FDG) PET/MR in the differential diagnosis of benign and malignant pancreatic tumors. Methods:A total of 76 patients (50 males, 26 females, age (45.2±18.0) years) with clinically suspected pancreatic tumor who underwent PET/MR between December 2012 and September 2020 in First Medical Center of Chinese PLA General Hospital were retrospectively selected. All patients had definitive diagnoses. PET/MR sequences included T 1 weighted imaging (WI; convention and contrast enhancement), T 2WI, diffusion weighted imaging (DWI) and 18F-FDG PET sequences. Morphological characteristics and scores of lesions in MRI were evaluated. Parameters including parameters of PET and DWI, as well as parameters derived from histogram analysis of apparent diffusion coefficient (ADC) and standardized uptake value (SUV) (maximum (max), minimum (min), mean, median, standard deviation (SD), skewness, kurtosis, entropy) were measured. Independent-sample t test or Mann-Whitney U test were used for data analysis. PET/MR combined model was measured based on logistic regression analysis. Receiver operating characteristic (ROC) curve analysis was used to calculate the differential diagnosis efficacy of PET/MR multiparameters and combined model for benign and malignant lesions. Results:Among 76 patients, 55 were malignant and 21 were benign. (1) Visual evaluation. The main manifestations of pancreatic cancer were unclear margin, abnormal internal MR signal and enhancement, decreased ADC signal and increased radioactive uptake. The main manifestations of benign tumor lesions of pancreas were clear margin, even signal and enhancement, no reduction of ADC, decreased radioactive uptake. (2) Diagnostic efficacy. Multiparameter model established based on logistic regression analysis included SUV max, SUV SD, ADC entropy and ADC skewness. The efficiency of differential diagnosis for benign and malignant pancreatic tumors were shown as follows: multiparametric diagnostic model>ADC entropy>MR score>SUV max>SUV SD>ADC skewness. The multiparametric diagnostic model had the best diagnosis efficiency with the area under curve (AUC) of 0.86, the sensitivity of 69.1%(38/55), and the specificity of 100%(21/21) ( z=-8.73, P<0.001). Conclusions:MR score and multiple quantitative parameters obtained from 18F-FDG PET/MR can be used to differentiate benign and malignant pancreatic tumors. Compared with independent parameter of PET/MR, multiparametric model can further improve the diagnostic efficiency.