Objective To explore the effectiveness of an integrated laparoscopic simulation training course (best essential surgical technique training, BEST) in enhancing laparoscopic peritoneal suturing techniques in surgical residents.Methods As an integrated two-stage program, the BEST course applied basic laparoscopic training system with simple molds in phase Ⅰ training, and then adopted advanced laparoscopic training system, 3D Laparoscope and ex-vivo animal models in phase Ⅱ training. The laparoscopic suturing techniques were practiced in phase Ⅱ training. From August 2021 to July 2024, surgical residents in the second year of the national standardized training program were divided into pilot and control groups based on whether they had undergone the BEST course. Two cases of laparoscopic peritoneal suture were performed by the surgical residents under supervision in the department of gastrointestinal surgery. The operative time, quality of suture, and independent completion rate were compared between the two groups.Results A total of 33 surgical residents (19 in pilot group and 14 in control group) were included in this study, and a total of 66 cases of laparoscopic peritoneal suture were performed (38 in pilot group and 28 in control group). The operative time was significantly shorter in pilot group than that in control group (15.7 min vs. 17.5 min, P=0.025). The quality of suture was significantly better in pilot group compared to control group (P=0.023). In pilot group, all peritoneal sutures were performed by residents independently, whereas in control group, 3 cases (10.7%) were assisted by the supervisor, and the independent completion rate was different significantly (P=0.039).Conclusions The BEST course can help improve surgical residents′ laparoscopic peritoneal suturing techniques and could be promoted in the national standardized training program for surgical residents.

Objective:To analyze the association between remnant cholesterol (RC) and the risk of atherosclerotic cardiovascular disease (ASCVD) in community population in Shanghai.Methods:Using baseline and follow-up data from the Shanghai Suburban Adult Cohort and Biobank, individuals with ASCVD (including coronary heart disease, stroke, myocardial infarction, and peripheral artery disease) at baseline were excluded. A Cox proportional hazards regression model was employed to analyze the relationship between RC and ASCVD risk and the association under different LDL-C levels.Results:A total of 57 281 participants were included, with a median follow-up of 5.61 person-years. During the follow-up, 1 436 ASCVD events (2.51%) were recorded. After adjusting for potential confounders, individuals with moderate ( HR=1.18, 95% CI: 1.03-1.36) or high RC levels ( HR=1.32, 95% CI: 1.15-1.51) had an increased risk of ASCVD. The association was stronger in participants younger than 60 years-old (interaction P=0.048). Participants with RC ≥0.97 mmol/L and LDL-C <3.40 mmol/L demonstrated a 19% ( HR=1.19, 95% CI: 1.06-1.35) increased risk of ASCVD. When RC ≥0.97 mmol/L and LDL-C ≥3.40 mmol/L, ASCVD risk increased by 42% ( HR=1.42, 95% CI: 1.21-1.67). Conclusions:Elevated RC increases ASCVD risk, regardless of LDL-C levels. RC can serve as a valuable predictor and intervention target for ASCVD.

Objective To study the influence of laser diffraction ultrasound parameters on the determination of particle size and particle size distribution of budesonide suspension for inhalation,and explore the rationality of ultrasound parameter settings of the laser diffraction method.Methods The Mastersizer 3000 was set to measure the particle size and particle size distribution of budesonide suspension for inhalation from 6 companies at different ultrasonic times,and the FlowCam was used to test the samples simultaneously.Results The ultrasound parameters have a significant impact on the particle size and particle size distribution of budesonide suspension for inhalation in some companies,and the FlowCam test results show that particles in some samples exhibit aggregation,which can be dispersed by ultrasound and affect the results.Conclusion It is necessary to optimize the ultrasound parameters of laser diffraction to determine the particle size and particle size distribution of suspension for inhalation,and verify the rationality of the ultrasound parameter settings through microscopic techniques.

Objective:To analyze the association between remnant cholesterol (RC) and the risk of atherosclerotic cardiovascular disease (ASCVD) in community population in Shanghai.Methods:Using baseline and follow-up data from the Shanghai Suburban Adult Cohort and Biobank, individuals with ASCVD (including coronary heart disease, stroke, myocardial infarction, and peripheral artery disease) at baseline were excluded. A Cox proportional hazards regression model was employed to analyze the relationship between RC and ASCVD risk and the association under different LDL-C levels.Results:A total of 57 281 participants were included, with a median follow-up of 5.61 person-years. During the follow-up, 1 436 ASCVD events (2.51%) were recorded. After adjusting for potential confounders, individuals with moderate ( HR=1.18, 95% CI: 1.03-1.36) or high RC levels ( HR=1.32, 95% CI: 1.15-1.51) had an increased risk of ASCVD. The association was stronger in participants younger than 60 years-old (interaction P=0.048). Participants with RC ≥0.97 mmol/L and LDL-C <3.40 mmol/L demonstrated a 19% ( HR=1.19, 95% CI: 1.06-1.35) increased risk of ASCVD. When RC ≥0.97 mmol/L and LDL-C ≥3.40 mmol/L, ASCVD risk increased by 42% ( HR=1.42, 95% CI: 1.21-1.67). Conclusions:Elevated RC increases ASCVD risk, regardless of LDL-C levels. RC can serve as a valuable predictor and intervention target for ASCVD.

Objective To study the influence of laser diffraction ultrasound parameters on the determination of particle size and particle size distribution of budesonide suspension for inhalation,and explore the rationality of ultrasound parameter settings of the laser diffraction method.Methods The Mastersizer 3000 was set to measure the particle size and particle size distribution of budesonide suspension for inhalation from 6 companies at different ultrasonic times,and the FlowCam was used to test the samples simultaneously.Results The ultrasound parameters have a significant impact on the particle size and particle size distribution of budesonide suspension for inhalation in some companies,and the FlowCam test results show that particles in some samples exhibit aggregation,which can be dispersed by ultrasound and affect the results.Conclusion It is necessary to optimize the ultrasound parameters of laser diffraction to determine the particle size and particle size distribution of suspension for inhalation,and verify the rationality of the ultrasound parameter settings through microscopic techniques.

OBJECTIVE To establish HPLC methods with different separation principles to analyze the relevant impurities in the APIs of bivalirudin from seven enterprises, to provide a basis for the comprehensive control of related substances of bivalirudin. METHODS Reversed-phase high performance liquid chromatography(RP-HPLC) was used to separate and analyze 11 kinds of impurities. Hydrophilic chromatography(HILIC)-HPLC was used to control four process impurities. Polymers were determined by size exclusion chromatography(SEC)-HPLC. RESULTS The established RP-HPLC could effectively separate the principal component and 11 impurities, the correction factors of 11 impurities were between 0.8−1.2, the detection concentration of bivalirudin was 0.1 μg·mL−1, and the detection limit was 0.004%. The established HILIC-HPLC could effectively separate the principal components and four process impurities, and the detection concentration of bivalirudin was 0.3 μg·mL−1, and the detection limit was 0.01%. Under SEC-HPLC conditions, the polymer and bivalirudin peaked sequentially, the resolution of the two was 2.9, the detection concentration of bivalirudin was 6 ng·mL−1, and the detection limit was 0.000 6%. Fifteen kinds of known impurities and polymers in 15 batches of samples from 7 enterprises were calculated by the self-control method of principal components, and the impurity contents from different enterprises had a certain correlation with their production processes. CONCLUSION The three different principles of the method have good specificity, high sensitivity, good durability, and reliable results, and can be used for quality control of substances related to bivalirudin.

Objective To investigate the application of synchronized immersion course(SIC)in teaching of clinical practice of surgery for eight-year program students.Methods A total of 94 eight-year program students in French class and 4+4 class who received SIC in the study of surgery in Ruijin Clinical School,Shanghai Jiao Tong University from September 2017 to June 2019 were selected as the pilot group.A total of 91 students in English class who were taught in the traditional way in the same period were selected as a horizontal control group.A total of 84 students in French class and 4+4 class who were studying from September 2015 to June 2017 were selected as the longitudinal control group.Teaching satisfaction evaluation,examination results and specialization choice were compared among students in each group to assess teaching effectiveness.Results The total score(3.8±0.3)and satisfaction rate(98.9%)of the questionnaire in the pilot group were better than those in the horizontal control group(3.6±0.4,90.1%)(P=0.001,P=0.008).For the case analysis station in objective structured clinical examination(OSCE),the mean score(86.2±6.9)and pass rate(97.9%)in the pilot group were better than those in the horizontal control group(79.7±11.4,89.0%)(P=0.001,P=0.014),as well as better than those in the longitudinal control group(79.5±13.5,88.1%)(P=0.001,P=0.009).For the history inquiry station,the mean score(86.3±10.7)and pass rate(96.8%)in the pilot group were better than those in the horizontal control group(81.4±11.6,86.8%)(P=0.003,P=0.013).The proportion of students choosing the surgical specialty was higher in the pilot group(55.3%)than in the horizontal control group(46.2%)and the longitudinal control group(44.0%)without statistically significant difference.Conclusions SIC can help eight-year program students strengthen their clinical thinking and practice skills.Meanwhile,SIC can increase students'satisfaction with teaching and their interest in surgery.

Purpose To investigate the clinicopathological features and molecular features of diffuse paediatric-type high-grade glioma,H3-wildtype and IDH-wildtype(pHGG H3/IDH WT)of central nervous system.Methods The clinical and pathological data of 6 cases of pHGG H3/IDH WT diagnosed by Department of Pathology,Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine were retrospectively ana-lyzed.The expression of GFAP,Olig2,Syn,NeuN,IDH1,H3K27M was detected by immunohistochemistry(automatic im-munohistochemical staining device).The EGFR and MYCN gene amplification was detected by FISH.IDH,H3F3A and TERT gene mutations were detected by Sanger sequencing.The literatures were reviewed.Results The 6 patient's age ranged from 5 to 11 years,with a median age of 7.5 years.Among them,there were 2 males and 4 females,with a male to female ratio of 1∶2.The clinical symptoms were limb weakness,hemi-plegia,vomiting,convulsions,blurred vision and so on.Tumors were located in supratentorial brain for 5 cases and one in brain stem and cerebellum.Histologically,3 cases showed the mor-phological features of high-grade glioma,2 of which with giant cells.Two cases showed embryonal tumor-like features,and one had both high-grade glioma and embryonal tumor-like morpho-logical features.Microvascular proliferation and/or necrosis were present in 5 cases.Myxoid/microcystic stroma was found in 1 case.By immunohistochemistrically,the tumor cells were par-tially or focally positive for GFAP(6/6)and Olig2(6/6),fo-cally positive for Syn(3/6)and NeuN(1/6),and negative for IDH1,H3K27M,H3G34V and H3G34R.ATRX,H3K27me3,INI1 and BRG1 were diffusely positive(6/6).The positive rate of p53 was 5％-95％,and Ki67 proliferation index was 40％-90％.Molecular analysis showed that all 6 cases were IDH1/2 and H3F3A wild-type.MYCN amplification was observed in 2 cases.Two cases of EGFR amplification with polyploidy;one case had both EGFR amplification and MYCN amplification.PDGFRA amplification was observed in one case.For treatment and follow-up,the patients received postoperative radiotherapy and/or temozolomide chemotherapy;three patients died at 1 to 5 months after operation.Two patients survived and were followed up for 4 and 7 months,respectively.One patient was lost to fol-low-up.Conclusions pHGG H3/IDH WT is a highly malignant tumor with glioblastoma-like or embryonal tumor-like features.According to the molecular characteristics,it can be divided into three molecular subtypes,RTK1,RTK2 and MYCN.pHGG MYCN has the worst prognosis.Attention should be paid to the differential diagnosis of other pediatric or adult high-grade glio-mas and embryonal tumors.

Purpose To investigate the clinicopathological features,molecular features,treatment and prognosis of infant-type hemispheric glioma(IHG)with ALK gene fusion of central nervous system.Methods Clinical data of 2 cases of IHG were collected,and the expression of GFAP,Olig2,Syn,NeuN,H3K27M,H3K27me3,H3G34V,H3G34R,ALK,and BRAF were detected using immunohistochemistry.FISH and NGS method was used to detect ALK fusion genes,and relevant liter-atures were reviewed.Results Case 1,a male,15 months old,showed a huge mass in the left frontal and temporal lobe on cranial MRI.Case 2(external hospital consultation),a male,18 months old,was found to have a space occupying lesion in the frontaltemporal lobe.Microscopic examination:in case 1,tumor cells showed diffuse patchy pattern,with small nodular shapes in some areas which separated by fibrous blood vessels.The cell density was high,and the nucleus was round or oval.The mitotic was easy to see,accompanied by bleeding and nec-rosis.In case 2,tumor cells were diffusely distributed,some of them formed pseudorosette around blood vessels and others ar-ranged in bundles.The cells were mild to moderate dysplasia with round or oval nuclei,light staining,small nucleoli,rare mitotic figures,and no microvascular proliferation or necrosis.Immunophenotypes:in case 1 tumor cells were focal positive for GFAP and NeuN,diffuse positive for H3K27me3,ALK(cyto-plasm and cell membrane),and ATRX,p53 positive(30％),negative for Olig2,Syn,H3K27M,H3G34V,H3G34R,and BRAF,Ki67 proliferation index of 20％.In case 2:tumor cells were diffusedly expressed GFAP,ATRX,H3K27me3,ALK(cytoplasm and cell membrane),and Olig2,Syn was weakly positive,NeuN and p53 were negative,and Ki67 proliferation index was 5％.FISH and NGS tests showed ALK gene fusion in both cases,with EML4::ALK fusion in case 1 and LRRFIP1::ALK fusion in case 2.Follow up for 7 months showed that the residual lesion in case 1 had shrunk and was generally in good condition;case 2 lost follow-up.Conclusion The histology of IHG often presents as high-grade gliomas or accompanied by an-aplastic features.The heterogeneity of ALK variants can also manifest as low-grade gliomas,which need to be differentiated from other high-grade gliomas,desmoplastic infantile gangliogli-oma/astrocytoma,ependymoma,etc.

Objective:To investigate the clinical value of magnetic resonance imaging (MRI) based integrated deep learning model for predicting the times of linear staplers used in double stapling technique for middle-low rectal cancer resection.Methods:The retrospective cohort study was conducted. The clinicopathological data of 263 patients who underwent low anterior resection (LAR) for middle-low rectal cancer in Ruijin Hospital of Shanghai Jiaotong University School of Medicine from January 2018 to December 2022 were collected as training dataset. There were 183 males and 80 females, aged 63(55,68)years. The clinicopathological data of 128 patients with middle-low rectal cancer were collected as validation dataset, including 83 males and 45 females, with age as 65(57,70)years. The training dataset was used to construct the prediction model, and the validation dataset was used to validate the prediction model. Observation indicators: (1) clinicopathological features of patients in the training dataset; (2) influencing factors for ≥3 times using of linear staplers in the operation; (3) prediction model construction; (4) efficiency evaluation of prediction model; (5) validation of prediction model. Measurement data with skewed distribution were represented as M( Q1, Q3), and Mann-Whitney U test was used for comparison between groups. Count data were expressed as absolute numbers, and comparison between groups was conducted using the chi-square test. Wilcoxon rank sum test was used for non-parametric data analysis. Univariate analysis was conducted using the Logistic regression model, and multivariate analysis was conducted using the Logistic stepwise regression model. The receiver operating characteristic (ROC) curve was draw and the area under the curve (AUC) was calculated. The AUC of the ROC curve >0.75 indicated the prediction model as acceptable. Comparison of AUC was conducted using the Delong test. Results:(1) Clinicopathological features of patients in the training dataset. Of the 263 patients, there were 48 cases with linear staplers used in the operation ≥3 times and 215 cases with linear staplers used in the operation ≤2 times. Cases with preoperative serum carcinoembryonic antigen (CEA) >5 μg/L, cases with anastomotic leakage, cases with tumor diameter ≥5 cm were 20, 12, 13 in the 48 cases with linear staplers used ≥3 times in the operation, versus 56, 26, 21 in the 215 cases with linear staplers used ≤2 times in the operation, showing significant differences in the above indicators between them ( χ2=4.66, 5.29, 10.45, P<0.05). (2) Influencing factors for ≥3 times using of linear staplers in the operation. Results of multivariate analysis showed that preoperative serum CEA >5 μg/L and tumor diameter ≥5 cm were independent risk factors for ≥3 times using of linear staplers in the operation ( odds ratio=2.26, 3.39, 95% confidence interval as 1.15-4.43, 1.50-7.65, P<0.05). (3) Prediction model construction. According to the results of multivariate analysis, the clinical prediction model was established as Logit(P)=-2.018+0.814×preoperative serum CEA (>5 μg/L as 1, ≤5 μg/L as 0)+ 1.222×tumor diameter (≥5 cm as 1, <5 cm as 0). The image data segmented by the Mask region convolutional neural network (MASK R-CNN) was input into the three-dimensional convolutional neural network (C3D), and the image prediction model was constructed by training. The image data segmented by the MASK R-CNN and the clinical independent risk factors were input into the C3D, and the integrated prediction model was constructed by training. (4) Efficiency evaluation of prediction model. The sensitivity, specificity and accuracy of the clinical prediction model was 70.0%, 81.0% and 79.4%, respectively, with the Yoden index as 0.51. The sensitivity, specificity and accuracy of the image prediction model was 50.0%, 98.3% and 91.2%, respectively, with the Yoden index as 0.48. The sensitivity, specificity and accuracy of the integrated prediction model was 70.0%, 98.3% and 94.1%, respectively, with the Yoden index as 0.68. The AUC of clinical prediction model, image prediction model and integrated prediction model was 0.72(95% confidence interval as 0.61-0.83), 0.81(95% confidence interval as 0.71-0.91) and 0.88(95% confidence interval as 0.81-0.95), respectively. There were significant differences in the efficacy between the integrated prediction model and the image prediction model or the clinical prediction model ( Z=2.98, 2.48, P<0.05). (5) Validation of prediction model. The three prediction models were externally validated by validation dataset. The sensitivity, specificity and accuracy of the clinical prediction model was 62.5%, 66.1% and 65.6%, respectively, with the Yoden index as 0.29. The sensitivity, specificity and accuracy of the image prediction model was 58.8%, 95.5% and 92.1%, respectively, with the Yoden index as 0.64. The sensitivity, specificity and accuracy of the integrated prediction model was 68.8%, 97.3% and 93.8%, respectively, with the Yoden index as 0.66. The AUC of clinical prediction model, image prediction model and integrated prediction model was 0.65(95% confidence interval as 0.55-0.75), 0.75(95% confidence interval as 0.66-0.84) and 0.84(95% confidence interval as 0.74-0.93), respec-tively. There was significant differences in the efficacy between the clinical prediction model and the integrated prediction model ( Z=3.24, P<0.05). Conclusion:The MRI-based deep-learning model can help predicting the high-risk population with ≥3 times using of linear staplers in resection of middle-low rectal cancer with double stapling technique.