Objective:To investigate the predictive efficacy of Delta radiomics for the patholo-gical complete remission (pCR) of pancreatic cancer after total neoadjuvant therapy (TNT).Methods:The retrospective cohort study was conducted. The clinicopathological data of 263 patients with pancreatic cancer who were admitted to Henan Provincial People′s Hospital (Zhengzhou University People's Hspital) from January 2019 to September 2024 were collected. There were 166 males and 97 females, aged (56±12)years. All patients underwent TNT. The 263 patients were randomly divided into a training set of 184 cases and a test set of 79 cases using a 7∶3 random seed count. The training set was used to construct the prediction model, and the test set was used to validate the performance of the prediction model. Observation indicators: (1) postoperative and follow-up condi-tions; (2) imaging feature selection and model construction; (3) evaluation of predictive efficacy of different radiomic models. Comparison of measurement data with normal distribution between groups was conducted using the t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. The Kaplan-Meier method was used to calculate the survival rate and draw survival curve. The Log-rank test was used for survival analysis. The perfor-mance of the prediction model for pCR after TNT was evaluated using the receiver operator charac-teristic (ROC) curve, precision-recall (P-R) curve and Bootstrap method, along with the calculation of area under the curve (AUC), precision rate, recall rate, F1-score. Results:(1) Postoperative and follow-up conditions. All 263 patients underwent surgery after TNT, with pathological examination revealing 124 cases of pCR (86 cases in the training set, 38 cases in the test set) and 139 cases of non-pCR (98 cases in the training set, 41 cases in the test set), respectively. All 263 patients were followed up for 6(range, 3-12) months after surgery, of which 15 cases (4 cases of pCR and 11 cases of non-pCR) were lost to follow-up or died due to non-tumor reasons within 6 months after surgery. The postoperative 6-month recurrence-free survival rate of 124 pCR patients and 139 non-pCR patients were 80% and 50%, respectively, showing a significant difference between the two groups of patients ( χ2=22.84, P<0.05). (2) Imaging feature selection and model construction. Construction of the traditional radiology model: based on the response evaluation criteria in solid tumors 1.1, the Logistic regression model was constructed using the relative shrinkage (D%) as a predictive variable. The AUC of traditional radiology model was 0.72 [95% confidence interval ( CI) as 0.63?0.81] in the training set and 0.75 (95% CI as 0.66?0.84) in the test set, respectively. Construction of the Delta radiomics model: 10 non-zero coefficient features were selected. The Delta radiomics models were constructed by using the regularized Logistic regression, random forest, gradient boosting machine, and support vector machine algorithms through using selected features as input variables. (3) Evaluation of predictive efficacy of different radiomic models. The AUC of Delta radiomics model constructed by regularized Logistic regression algorithm in the test set for predicting pCR in pancreatic cancer after TNT was 0.90, higher than that of the random forest algorithm, gradient boosting machine algorithm, support vector machine algorithm (AUC as 0.81, 0.81, 0.83), and higher than that of the traditional radiology model (AUC as 0.72). Results of Bootstrap method revealed significant differences in the predictive efficacy of Delta radiomics model constructed by regularized Logistic regression algorithm compared to the Delta radiomics model constructed by random forest algorithm, gradient boosting machine algorithm, support vector machine algorithm and the tradi-tional radiology model (95% CI as 0.03?0.16, 0.03?0.16, 0.03?0.13, 0.08?0.29, P<0.05). The regularized Logistic regression algorithm within the Delta radiomics model demonstrated the best overall performance among the above models evaluated. Conclusion:Compared to the traditional radiology model, the Delta radiomics model offers superior efficacy in predicting pCR of pancreatic cancer after TNT, in which the regularized Logistic regression algorithm demonstrates the best overall performance metrics.

Objective:To investigate the predictive efficacy of Delta radiomics for the patholo-gical complete remission (pCR) of pancreatic cancer after total neoadjuvant therapy (TNT).Methods:The retrospective cohort study was conducted. The clinicopathological data of 263 patients with pancreatic cancer who were admitted to Henan Provincial People′s Hospital (Zhengzhou University People's Hspital) from January 2019 to September 2024 were collected. There were 166 males and 97 females, aged (56±12)years. All patients underwent TNT. The 263 patients were randomly divided into a training set of 184 cases and a test set of 79 cases using a 7∶3 random seed count. The training set was used to construct the prediction model, and the test set was used to validate the performance of the prediction model. Observation indicators: (1) postoperative and follow-up condi-tions; (2) imaging feature selection and model construction; (3) evaluation of predictive efficacy of different radiomic models. Comparison of measurement data with normal distribution between groups was conducted using the t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. The Kaplan-Meier method was used to calculate the survival rate and draw survival curve. The Log-rank test was used for survival analysis. The perfor-mance of the prediction model for pCR after TNT was evaluated using the receiver operator charac-teristic (ROC) curve, precision-recall (P-R) curve and Bootstrap method, along with the calculation of area under the curve (AUC), precision rate, recall rate, F1-score. Results:(1) Postoperative and follow-up conditions. All 263 patients underwent surgery after TNT, with pathological examination revealing 124 cases of pCR (86 cases in the training set, 38 cases in the test set) and 139 cases of non-pCR (98 cases in the training set, 41 cases in the test set), respectively. All 263 patients were followed up for 6(range, 3-12) months after surgery, of which 15 cases (4 cases of pCR and 11 cases of non-pCR) were lost to follow-up or died due to non-tumor reasons within 6 months after surgery. The postoperative 6-month recurrence-free survival rate of 124 pCR patients and 139 non-pCR patients were 80% and 50%, respectively, showing a significant difference between the two groups of patients ( χ2=22.84, P<0.05). (2) Imaging feature selection and model construction. Construction of the traditional radiology model: based on the response evaluation criteria in solid tumors 1.1, the Logistic regression model was constructed using the relative shrinkage (D%) as a predictive variable. The AUC of traditional radiology model was 0.72 [95% confidence interval ( CI) as 0.63?0.81] in the training set and 0.75 (95% CI as 0.66?0.84) in the test set, respectively. Construction of the Delta radiomics model: 10 non-zero coefficient features were selected. The Delta radiomics models were constructed by using the regularized Logistic regression, random forest, gradient boosting machine, and support vector machine algorithms through using selected features as input variables. (3) Evaluation of predictive efficacy of different radiomic models. The AUC of Delta radiomics model constructed by regularized Logistic regression algorithm in the test set for predicting pCR in pancreatic cancer after TNT was 0.90, higher than that of the random forest algorithm, gradient boosting machine algorithm, support vector machine algorithm (AUC as 0.81, 0.81, 0.83), and higher than that of the traditional radiology model (AUC as 0.72). Results of Bootstrap method revealed significant differences in the predictive efficacy of Delta radiomics model constructed by regularized Logistic regression algorithm compared to the Delta radiomics model constructed by random forest algorithm, gradient boosting machine algorithm, support vector machine algorithm and the tradi-tional radiology model (95% CI as 0.03?0.16, 0.03?0.16, 0.03?0.13, 0.08?0.29, P<0.05). The regularized Logistic regression algorithm within the Delta radiomics model demonstrated the best overall performance among the above models evaluated. Conclusion:Compared to the traditional radiology model, the Delta radiomics model offers superior efficacy in predicting pCR of pancreatic cancer after TNT, in which the regularized Logistic regression algorithm demonstrates the best overall performance metrics.

Diabetic nephropathy (DN) is a common kidney disease in diabetic patients. Long non-coding RNA maternally expressed gene 3 (MEG3) and microRNA (miR)-23c are reported to be implicated in DN development. Nevertheless, it is unclear that the molecular mechanism between MEG3 and miR-23c in DN remains unclear. Methods: Human mesangial cells (HMCs) were treated with high glucose (HG) to simulate the DN status in vitro. Expression of MEG3 and miR-23c was measured. Effects of MEG3 silencing on HG-stimulated HMC injury were determined. The relationship between MEG3 and miR-23c was verified by the dual-luciferase reporter and RNA immunoprecipitation assays. Results: MEG3 was overexpressed in serums from DN patients and HG-stimulated HMCs. MEG3 knockdown weakened HG-stimulated HMC proliferation, extracellular matrix (ECM) accumulation, and inflammation. MEG3 regulated lin-28 homolog B (LIN28B) expression through adsorbing miR-23c. MiR-23c inhibitor reversed MEG3 knockdown-mediated effects on HG-stimulated HMC proliferation, ECM accumulation, and inflammation. LIN28B overexpression overturned miR-23c mimic-mediated effects on HG-stimulated HMC proliferation, ECM accumulation, and inflammation. Conclusion: MEG3 regulated HMC injury via regulation of the miR-23c/LIN28B axis in DN, which can help us better understand the mechanism of DN mediated by MEG3.

Diabetic nephropathy (DN) is a common kidney disease in diabetic patients. Long non-coding RNA maternally expressed gene 3 (MEG3) and microRNA (miR)-23c are reported to be implicated in DN development. Nevertheless, it is unclear that the molecular mechanism between MEG3 and miR-23c in DN remains unclear. Methods: Human mesangial cells (HMCs) were treated with high glucose (HG) to simulate the DN status in vitro. Expression of MEG3 and miR-23c was measured. Effects of MEG3 silencing on HG-stimulated HMC injury were determined. The relationship between MEG3 and miR-23c was verified by the dual-luciferase reporter and RNA immunoprecipitation assays. Results: MEG3 was overexpressed in serums from DN patients and HG-stimulated HMCs. MEG3 knockdown weakened HG-stimulated HMC proliferation, extracellular matrix (ECM) accumulation, and inflammation. MEG3 regulated lin-28 homolog B (LIN28B) expression through adsorbing miR-23c. MiR-23c inhibitor reversed MEG3 knockdown-mediated effects on HG-stimulated HMC proliferation, ECM accumulation, and inflammation. LIN28B overexpression overturned miR-23c mimic-mediated effects on HG-stimulated HMC proliferation, ECM accumulation, and inflammation. Conclusion: MEG3 regulated HMC injury via regulation of the miR-23c/LIN28B axis in DN, which can help us better understand the mechanism of DN mediated by MEG3.

Diabetic nephropathy (DN) is a common kidney disease in diabetic patients. Long non-coding RNA maternally expressed gene 3 (MEG3) and microRNA (miR)-23c are reported to be implicated in DN development. Nevertheless, it is unclear that the molecular mechanism between MEG3 and miR-23c in DN remains unclear. Methods: Human mesangial cells (HMCs) were treated with high glucose (HG) to simulate the DN status in vitro. Expression of MEG3 and miR-23c was measured. Effects of MEG3 silencing on HG-stimulated HMC injury were determined. The relationship between MEG3 and miR-23c was verified by the dual-luciferase reporter and RNA immunoprecipitation assays. Results: MEG3 was overexpressed in serums from DN patients and HG-stimulated HMCs. MEG3 knockdown weakened HG-stimulated HMC proliferation, extracellular matrix (ECM) accumulation, and inflammation. MEG3 regulated lin-28 homolog B (LIN28B) expression through adsorbing miR-23c. MiR-23c inhibitor reversed MEG3 knockdown-mediated effects on HG-stimulated HMC proliferation, ECM accumulation, and inflammation. LIN28B overexpression overturned miR-23c mimic-mediated effects on HG-stimulated HMC proliferation, ECM accumulation, and inflammation. Conclusion: MEG3 regulated HMC injury via regulation of the miR-23c/LIN28B axis in DN, which can help us better understand the mechanism of DN mediated by MEG3.

Diabetic nephropathy (DN) is a common kidney disease in diabetic patients. Long non-coding RNA maternally expressed gene 3 (MEG3) and microRNA (miR)-23c are reported to be implicated in DN development. Nevertheless, it is unclear that the molecular mechanism between MEG3 and miR-23c in DN remains unclear. Methods: Human mesangial cells (HMCs) were treated with high glucose (HG) to simulate the DN status in vitro. Expression of MEG3 and miR-23c was measured. Effects of MEG3 silencing on HG-stimulated HMC injury were determined. The relationship between MEG3 and miR-23c was verified by the dual-luciferase reporter and RNA immunoprecipitation assays. Results: MEG3 was overexpressed in serums from DN patients and HG-stimulated HMCs. MEG3 knockdown weakened HG-stimulated HMC proliferation, extracellular matrix (ECM) accumulation, and inflammation. MEG3 regulated lin-28 homolog B (LIN28B) expression through adsorbing miR-23c. MiR-23c inhibitor reversed MEG3 knockdown-mediated effects on HG-stimulated HMC proliferation, ECM accumulation, and inflammation. LIN28B overexpression overturned miR-23c mimic-mediated effects on HG-stimulated HMC proliferation, ECM accumulation, and inflammation. Conclusion: MEG3 regulated HMC injury via regulation of the miR-23c/LIN28B axis in DN, which can help us better understand the mechanism of DN mediated by MEG3.

Objective:To summarize our experience in diagnosis and treatment of Budd-Chiari syndrome(BCS) accompanied with hepatic nodules.Methods:The clinical data of 33 patients with BCS accompanied with hepatic nodules who were treated at Henan Provincial People's Hospital from January 2012 to December 2018 were retrospectively analysed. A total of 33 patients were enrolled, including 17 males and 16 females, with an average age of 51 years. Analyze the treatment and prognosis of different types of nodules.Results:Of 33 patients, 27 were diagnosed to have hepatocellular carcinoma and 6 benign proliferative nodules. Treatment of patients with hepatocellular carcinoma included, transcatheter arterial chemoembolization ( n=1) and hepatectomy ( n=26). The survival time of these patients with hepatocellular carcinoma ranged from 10.0 to 78.0 months (mean 37.8 months). For the remaining 6 patients with benign nodules, the nodules were multiple and no malignant changes were observed on follow-up. Conclusion:For patients with BCS associated with benign nodules, no specific treatment was required. Hepatocellular carcinoma assocated with BCS had good prognosis. An aggressive surgical resectional approach is recommended to treat and to relieve the hepatic outflow obstruction.

Objective:To study the safety and efficacy of using entrapped duct-to-mucosa pancreaticojejunostomy for patients with small pancreatic ducts of less than 3 mm in diameter.Methods:The clinical data of patients who underwent entrapped duct-to-mucosa pancreaticojejunostomy at Henan Province People's Hospital from January 2017 to December 2019 were retrospectively analyzed. The incidences of complication including pancreatic fistula and abdominal hemorrhage were studied. The duration to carry out the pancreaticojejunostomy and postoperative hospital study were also analyzed.Results:Of 98 patients included in this study, there were 58 males and 40 females, with an average age of 62.3 (aged 24 to 73) years. The average time of completing the pancreaticoenterostomy was (10.2±3.1) min. There were 10 patients (10.2%) who developed grade A pancreatic fistulae. There were no grade B or C pancreatic fistulae, no portoperative bleeding and no perioperative deaths. The postoperative hospital stay was (13.4±4.6) days.Conclusion:Entrapped duct-to-mucosa pancreaticojejunostomy was simple, quick, safe and effective in patients with small pancreatic ducts.

Objective To analyze the effects of structured fat emulsion and medium/long chain fat emulsion on blood lipids,immune cells and acute inflammation after hepatectomy for hepatocellular carcinoma.Methods Total of 60 patients with hepatocellular carcinoma who underwent hepatectomy in Henan People's Hospital (Zhengzhou University People's Hospital) from January 2013 to March 2017 were divided into experimental group (using structured fat emulsion) and control group (using medium/long chain fat emulsion),30 cases in each group.Triglyceride (TG),high density lipoprotein cholesterol (HDL-C),low density lipoprotein cholesterol (LDL-C),total cholesterol (TC),T lymphocyte level,fibrinogen (FIB),C-reactive protein (CRP),prostaglandin E2 (PGE2) were detected before and 2,4,6 and 8 days after infusion.Results There were no significant differences in LDL-C,HDL-C,TG and TC between the two groups before infusion (P＞0.05).On the 2nd day of parenteral nutrition infusion,the level of blood lipids in both groups was higher than experimental group before infusion;on the 4th,6th and 8th day of infusion,LDL-C,HDL-C,TG and TC in the control group were higher than those in the experimental group (P＜0.05).After parenteral nutrition infusion,the levels of CD3+,CD4+,CD8+,CD4+/CD8+ in both groups were higher than experimental group before infusion,and the experimental group was higher than the control group,the differences were statistically significant (P＜0.05).Compared with before infusion,level of FIB,CRP and PGE2 began to increase on the 2nd day of infusion,and the differences were statistically significant (P＜0.05).On the 2nd,4th,6th and 8th day,CRP in the control group was higher than experimental group.And resepeatively (19.12±5.84) mg/ml vs.(13.76±2.36) mg/ml,(31.67±8.68) mg/ml vs.(17.21±2.66) mg/ml,(22.15±8.33) mg/ml vs.(12.48±0.63) mg/ml,(9.65±4.66) mg/ml vs.(7.52±0.99) mg/ml,and PGE2 were also higher than that in the experimental group (P＜0.05).Conclusion Structured fat emulsion is superior to medium/long chain fat emulsion in improving blood lipid,immune cells and inflammatory reaction in patients after hepatectomy.

Objective To evaluate hepato-intestinal anastomosis in the treatment of complex stricture of high bile duct.Methods From Jan 2010 to Dec 2016,43 patients undergoing traditional biliary-intestinal anastomosis were grouped into control,45 patients undergoing hepato-intestinal anastomosis were allocated into study group.Results (1) Control vs study grounp,the operative time was (24 ±3)min vs.(15 ± 3)min,intraoperative blood loss and blood transfusion were (384 ± 51)ml vs.(280 ± 41) ml,(649 ± 3) ml vs.(454 ± 8) ml,number of patients with intraoperative blood transfusion,and liver resection were 10 vs.3,and 8 vs.3 respectively,with statistically differences (t =12.48,10.46,144.65,x2 =43.68,49.50,all P ＜ 0.05).(2) Postoperatively efficacy:fever was in 7 vs.3 cases,incision infection in 5 vs.3 cases,abdominal infection was in 5 vs.2 cases,biliary fistula was in 7 vs.3 cases,number of un-planed readmission was in 7 vs.3 cases,and postoperative hospital stay were (14.3 ± 1.5) d vs.(10.7 ± 0.7) d,respectively,between the control group and the study group,with statistically differences (x2 =52.55,58.91,62.23,52.55,52.55,t =16.28,all P ＜0.05).(3) Follow-up situation:all the 88 patients were followed-up for 6 to 96 months (median time,30 months).Biliary restenosis occurred in 5 vs.1 patients between the control group and the study group,respectively,with statistically differences (x2 =65.64,P ＜ 0.05).Conclusions Hepato-intestinal anastomosis is effective in the treatment of complex stricture of high bile duct.