[Objective] To explore the curative effect of Chaishao Liujunzi Decoction for Chronic Gastritis(Liver Stagnation and Spleen Deficiency Syndrome).[Method] 90 cases were allocated to 2 groups(each group 45 cases) randomly.The treatment group was treated by the Decoction,the control group by Motilium and NexiumTablets.2 weeks constituted the course of treatment.The curative effect,improvement of symptoms and signs,manifestation of endoscopy before and after treatment were observed.[Result] The curative effect in treatment group was significantly different as compared with control group after treatment(P

Objective To observe the therapeutic effect of heat-clearing and dampness-removing therapy combined with Bifico for ulcerative colitis ( UC) induced by trinitrobenzene sulfonic acid ( TNBS), and to explore its influence on tumor necrosis factor alpha ( TNF-α) and interleukin-10 ( IL-10) in rats. Methods Forty female adult Sprague-Dawley rats were evenly randomized into five groups, namely normal control group, model group, Bifico (175 mg/kg) group, Chinese medicine group(enema with Changdiqing 3.6/kg and oral use of Changyanling Recipe l) , and Chinese medicine plus Bifico group. After treatment, the damage of colonic mucous membrane was evaluated, and expression levels of IL-10 and TNF-α in colonic mucosa were observed through immunohistochemical assay. Results The degree of colonic mucosal injury was severer and the inflammation was more obvious in the model group than those in the normal control groups ( P<0.01) , and the above changes were relieved to various degrees in the medication group ( P<0.01 compared with those in the model group) . Chinese medicine plus Bifico group had better effect on reducing colonic mucosa damage index ( CMDI) and inflammation, and on promoting the healing of colonic mucosa than Bifico group and Chinese medicine group (P<0.05 ) . The expression level of TNF-α in the colonic mucosa was markedly increased while that of IL-10 was markedly decreased in the model group ( P<0.01 compared with those in the normal control group) . The medication groups could counteract the above changes in the colonic mucosa ( P<0.01 compared with those in the model group) . The combination group and Chinese medicine group had better effect on decreasing TNF-α expression level and on increasing IL-10 expression level than Bifico group ( P<0.05) . Conclusion IL-10 and TNF-α play an important role in the pathogenesis and development of ulcerative colitis. Chinese medicine combined with Bifico has satisfactory therapeutic effect on UC rats, and its mechanism may be related with the increase of IL-10 expression level and with the decrease of TNF-α expression level.

Objective To construct a radiomic model based on intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI ) for preoperative prediction of hepatocellular carcinoma (HCC ) differentiation and validate its clinical value.Methods Clinical and imaging data of 187 HCC patients who received surgical treatment in the Third Affiliated Hospital of Chongqing Medical University from June 2018 to January 2024 were collected and retrospectively analyzed.According to the postoperative pathological results,they were divided into low-differentiation group (n=58)and non-low-differentiation group (n=129),andrandomly divided into the training group (n=149)and the validation group (n=38)with the ratio of 8∶2. Univariate analysis was used to assess the clinical indicators related to HCC differentiation,and then a clinical model was constructed. Pyramidimics software was used to extract the radiomic features of IVIM-DWI functional images,and minimum absolute contraction and selection operator logistic regression algorithm were employed to screen those highly correlated indicators with HCC differentiation.Support vector machine (SVM),logistic regression (LR)and random forest (RF)algorithms were utilized to construct different image omics models.SVM algorithm was applied to construct the combined imaging omics and clinical model. The internal verification of the model was carried out by using ten-fold cross-validation.Receiver operating characteristic (ROC)curve,area under the curve (AUC),calibration curve,and decision curve analysis (DCA)were used to evaluate the diagnostic value and clinical benefits of clinical model,radiomic model,and their combination.Results A total of 4060 radiological features were extracted,and after feature screening and dimensionality reduction,24 features were finally included to construct the model.Among all models,the predictive performance of the radiomic model and the radiomic-clinical combined model was better than that of the clinical model.In the comparison between the radiomic model constructed by SVM algorithm and the radiomics-clinical combined model,the AUC value was 0.954 (0.908～1.000)for the former model,and was 0.943 (0.905～0.982)for the latter model in the training set,and there was no significant difference between them.In the validation set,the AUC value was 0.807 (0.640～0.975 )and 0.876 (0.743～1.000),respectively,with statistical difference between the 2 models (P<0.05).Calibration curve analysis showed that the radiomic model and the radiomics-clinical combined model had good goodness of fit.DCA indicated that the net benefit was higher and the threshold probability range was larger in both the radiomic model and the radiomics-clinical combined model,and the net benefit of the combined model was larger. Conclusion Both the radiomic model and the combined radiomics-clinical model constructed on the basis of IVIM-DWI functional images can better predict the severity of HCC differentiation before surgery.