Objective To investigate the effect of electroacupuncture on serum insulin (INS) levels and gastric antral cholecystokinin (CCK) content in rats with diabetic gastroparesis (DGP).Methods Sixty SD rats were randomized into groups A, B, C, D and E, 12 rats each. Group A is a normal control. A DGP model was made by an intraperitoneal injection of 2% streptozocin (STZ) plus an irregular high sugar and fat diet in groups B, C, D and E. group B is a model one and did not receive treatment. Group C received electroacupuncture at points Zusanli, Sanyinjiao and Liangmen; group D, electroacupuncture at the control points of Zusanli, Sanyinjiao and Liangmen. Group C, an oral gavage of metoclopramide tablet solution. Blood sugar and urine sugar were determined using a OneTouch lood glucose meter and Tes-Tape, respectively. The gastric emptying rate and the intestinal migration rate were measured by an oral gavage of phenol red. Serum INS levels and gastric antral CCK content were measured by ELISA in every group of rats before and after treatment.Results There were statistically significant differences in blood and urine sugar values between group B, C, D or E rats and group A (P<0.01) and between group C rats and group B or E (P<0.05). There was a statistically significant difference in the gastric emptying rate between group B, C, D or E rats and group A (P<0.01) and between group C rats and group B or D (P<0.01,P<0.05). There was a statistically significant difference in the intestinal migration rate between group B or D rats and group A (P<0.01) and between group C rats and group B or D (P<0.01). There were statistically significant differences in serum INS levels and gastric antral CCK content between groups B and A rats (P<0.05,P<0.01). There was a statistically significant difference in gastric antral CCK content between groups D and A rats (P<0.01). There were statistically significant differences in serum INS levels and gastric antral CCK content between groups C or E rats and group B (P<0.05,P<0.01). There was a statistically significant difference in gastric antral CCK content between groups C and D rats (P<0.05).Conclusions Electroacupuncture can markedly improve gastrointestinal functions and promote gastric emptying in DGP rats. Its therapeutic effect may be related to electroacupuncture raising serum INS levels and reducing gastric antral CCK content.

Objective: To explore the action mechanism of electroacupuncture (EA) in improving the gastric motility of rats with diabetic gastroparesis (DGP). Methods: Forty-eight healthy Sprague-Dawley (SD) rats were randomly assigned into four groups: a normal group (group A), a model group (group B), a group of EA at acupoints (group C), and a group of EA at non-acupoints (group D), 12 rats in each group. The animal model of DGP was established by intraperitoneal injection of streptozotocin (STZ) plus high glucose and fat diet. The blood glucose, urine glucose and gastric emptying rate (GER) were observed. The content of insulin (INS) in serum and ghrelin in gastric antrum tissue were detected by enzyme linked immunoassay (ELISA). The expression of growth hormone secretagogue receptor mRNA (GHSR mRNA) in gastric antrum tissue was detected by real-time fluorescent quantitative polymerase chain reaction (PCR). Results:Compared with group A, blood glucose and urine glucose increased significantly (P<0.01), GER, content of serum insulin, the content of ghrelin and expression of GHSR mRNA in gastric antrum tissue decreased significantly (P<0.05 orP<0.01) in group B. Compared with group B, blood glucose and urine glucose decreased significantly (P<0.05), GER, the content of insulin in serum, the content of ghrelin and expression of GHSR mRNA in gastric antrum tissue increased significantly (P<0.05 orP<0.01) in group C. Conclusion: EA at acupoints can down-regulate the content of blood and urine sugar, and promote gastric emptying, which is possibly related to the regulation of serum insulin, and the expressions of ghrelin and GHSR mRNA in gastric antrum.

Objective To differentiate between pulmonary mucosa-associated lymphoid tissue lymphoma (MALT) and adenocarcinoma by radiomics, and then evaluate the diagnostic value of this novel approach. Methods We retrospectively analyzed CT images of pulmonary MALT lymphoma (n=16) and invasive pulmonary adenocarcinoma (n=41) and all these cases were confirmed by pathology in the Second Affiliated Hospital of Zhejiang University School of Medicine from June 2012 to June 2017. After we delineated the lesions as region of interest (ROI), sixty-one radiomics features were extracted from each individual's CT images by Radcloud 1.0. All cases in each group were randomly divided into training set (70％cases) and testing set(30％cases), with 7 features (Wilcoxon test) of which showed group differences and were used to train and validate a support vector machine (SVM) classifier. Results Seven of 61 radiomics features showed differences between the two groups, i.e. 10th percentile, mean, median, minimum, total energy, run length non uniformity, gray level non uniformity. Using these 7 features, the resulted SVM successfully differentiated two diseases. The SVM showed high performance with 90％precision, recall 0.89, F1-score 0.87, ROC 0.75. Conclusions Pulmonary MALT and adenocarcinoma differ in radiomics features and machine learning can utilize these features to differentiate between pulmonary MALT and adenocarcinoma. Combination of radiomics and machine learning is promising in the differential diagnosis of these two diseases.

Objective This paper aims to investigate the application of intraoral scanning and cone beam computed tomography(CBCT)registration implant robot in dental implant surgery.Methods The data of 40 cases with dental de-fect of robot-assisted implantation from November 2023 to May 2024 were retrospectively analyzed.Before the opera-tion,the intraoral scan data and CBCT data of the posi-tioning markers were automatically fused with the initial CBCT images,and the registration error was calculated.The average registration error of positioning markers was determined during the operation,and the implantation ac-curacy was analyzed after the operation.Results The intraoral scan data and CBCT data of 40 patients with dental defect wearing positioning markers were successfully registered with the initial CBCT image,and the registration errors were(0.157±0.026)mm and(0.154±0.033)mm,respectively.Statistical analysis showed no statistical significance between them.The registration errors of the marker was(0.037 3±0.003 6)mm.A total of 55 implants were performed,and the total deviations of the implant point and the apical point were(0.78±0.41)and(0.89±0.28)mm,respectively.The transverse deviations of the implant point and the apical point were(0.44±0.36)and(0.58±0.25)mm,respectively.The depth deviations of the implant point and the apical point were(0.51±0.32)and(0.54±0.36)mm,respectively.The devia-tion of the implant angle was 1.24°±0.67°.Conclusion The fusion technology based on intraoral scanning and CBCT registration can meet the accuracy requirements of preoperative registration of oral implant robots.The technology in-creases the choice of registration methods before robot-assisted dental implant surgery and reduces the multiple radiation exposuresof the patient.