Objective To discuss the efficacy of transcatheter arterial chemoembolization(TACE)in combination with targeted therapy and immune checkpoint inhibitors for advanced hepatocellular carcinoma(HCC),and to identify the influencing factors.Methods A total of 60 patients with advanced HCC,who were admitted to the Air Force Medical Center of China from January 2016 to December 2022,were enrolled in this study.Thirty patients received TACE combined with targeted therapy and immune checkpoint inhibitors(TACE-L-P group),and the other 30 patients received TACE combined with targeted therapy(TACE-L group).The progression-free survival(PFS),overall survival(OS),disease control rate(DCR),and objective response rate(ORR)were compared between the two groups.Results In the TACE-L group and TACE-L-P group,the median PFS(mPFS)was 7 months and 10 months respectively(P=0.011),the median OS(mOS)was 15.5 months and 29 months respectively(P=0.014).Child-Pugh class B(HR=3.89,95％CI:1.27-11.94,P=0.018)and Barcelona Clinic Liver Cancer(BCLC)stage C(HR=2.83,95％CI:1.32-6.03,P=0.007)were the independent risk factors for OS,while micro wave ablation(HR=0.21,95％CI:0.07-0.63,P=0.005)and TACE-L-P(HR=0.09,95％CI:0.03-0.3,P=0.001)were the independent protection factors for OS.Besides,elevated bilirubin level(HR=1.03,95％CI:1-1.06,P=0.032)and elevated gamma-glutamyl transferase(GGT)level(HR=1.01,95％CI:1-1.01,P=0.002)were the independent risk factors for disease progression,and TACE-L-P(HR=0.27,95％CI:0.09-0.79,P=0.017)was the independent protection factor for disease progression.The ORR and DCR in TACE-L-P group were remarkably higher than those in TACE-L group,which were 43.4％vs 13.3％and 63.4％vs 23.3％respectively,the differences between the two groups were statistically significant(both P＜0.05).Conclusion In treating advanced HCC,TACE combined with targeted therapy and immune checkpoint inhibitors is superior to TACE combined with targeted therapy in therapeutic efficacy.

Over the past three decades years, the treatment of gastric cancer has shifted from traditional open surgery to minimally invasive surgery. Cutting-edge technologies such as three-dimensional and 4K ultra-high-definition imaging systems, indocyanine green fluorescence navigation, and robotic surgical systems have been widely used in clinical practice, facilitating precise intraoperative anatomy and lymph node dissection. For early gastric cancer, endoscopic submucosal dissection, as the standard surgical procedure, can improve the 5-year survival rate and reduce the local recurrence rate. For locally advanced gastric cancer, neoadjuvant chemotherapy combined with minimally invasive surgery has increased the R0 resection rate and improved the prognosis of patients. For advanced gastric cancer, conversion therapy combined with minimally invasive surgery has brought hope for extended survival to patients with stage Ⅳ disease, and the application of immune checkpoint inhibitors has further promoted the progress of advanced gastric cancer treatment. With the advancement of technology and the improvement of policies, artificial intelligence and 5G remote surgery have become important directions in the minimally invasive surgical treatment of gastric cancer. In the future, it is necessary to accumulate evidence through multi-center prospective studies, optimize the evaluation of function-preserving surgery, develop cross-platform artificial intelligence tools, conduct cost-benefit analyses, and resolve ethical and legal disputes to promote the development of minimally invasive surgical treatment of gastric cancer towards precision and intelligence, achieving a dual improvement in efficacy and accessibility.

Over the past three decades years, the treatment of gastric cancer has shifted from traditional open surgery to minimally invasive surgery. Cutting-edge technologies such as three-dimensional and 4K ultra-high-definition imaging systems, indocyanine green fluorescence navigation, and robotic surgical systems have been widely used in clinical practice, facilitating precise intraoperative anatomy and lymph node dissection. For early gastric cancer, endoscopic submucosal dissection, as the standard surgical procedure, can improve the 5-year survival rate and reduce the local recurrence rate. For locally advanced gastric cancer, neoadjuvant chemotherapy combined with minimally invasive surgery has increased the R0 resection rate and improved the prognosis of patients. For advanced gastric cancer, conversion therapy combined with minimally invasive surgery has brought hope for extended survival to patients with stage Ⅳ disease, and the application of immune checkpoint inhibitors has further promoted the progress of advanced gastric cancer treatment. With the advancement of technology and the improvement of policies, artificial intelligence and 5G remote surgery have become important directions in the minimally invasive surgical treatment of gastric cancer. In the future, it is necessary to accumulate evidence through multi-center prospective studies, optimize the evaluation of function-preserving surgery, develop cross-platform artificial intelligence tools, conduct cost-benefit analyses, and resolve ethical and legal disputes to promote the development of minimally invasive surgical treatment of gastric cancer towards precision and intelligence, achieving a dual improvement in efficacy and accessibility.

Objective To investigate the clinical application value of MRI Radiomics score(Radscore)combined with clinicopatho-logical features in predicting postoperative progression-free survival(PFS)of patients with endometrial cancer(EC).Methods A total of 127 patients with EC were selected.The radiomic features of the lesions were extracted from T2 WI,diffusion weighted imaging(DWI)and apparent diffusion coefficient(ADC)images.The features were screened by random forest model and Radscore was calcu-lated.Simultaneously,clinical and pathological characteristics of patients were collected and incorporated,and multivariate Cox regression analysis was used to screen the risk factors related to PFS.The MRI Radscore and clinicopathological features were mapped to the nomogram,and the performance of nomogram was evaluated by receiver operating characteristic(ROC)curve and calibration curve.Results Multivariate Cox regression analysis showed that progesterone receptor(PR),human epididymis protein 4(HE4)and MRI Radscore were independent risk factors for predicting PFS in patients with EC(P＜0.05).The area under the curve(AUC)of the predicted PFS at 1,3 and 5 years after surgery were 0.91,0.804 and 0.776,respectively.Calibration curves showed that nomogram had a good fit in predicting PFS in patients with EC 1,3 and 5 years after surgery.Conclusion The nomogram con-structed based on multi-sequence MRI Radscore and clinicopathological features has favorable accuracy and stability in predicting postoperative PFS in individuals diagnosed with EC.

Objective:To analyze and summarize the implementation effect of basic essential surgical training (BEST) course of laparoscopic skills over the past 10 years and the practical experience in updating course content and models.Methods:The pre-class assessment questionnaires, basic laparoscopic operation assessment results, and post-class assessment questionnaires of the students who participated in the BEST course of laparoscopic skills were collected. According to the period of the course construction, the students were divided into two groups, namely students who used the course of single training system in the early stage (traditional group) and students who used the course integrating a variety of training systems after the course model was updated in the later stage (test group). The two groups were compared for the scores of track circle moving, tunnel crossing, and high and low columns, as well as their subjective evaluation of course setting and implementation effect. The t-test, Wilcoxon test, or chi-square test was conducted according to the data type using SPSS 13.0. Results:The time for 150 traditional group students to complete track circle moving, tunnel crossing, and high and low columns was 1.08 min (0.81 min, 1.60 min), 2.20 min (1.60 min, 3.27 min), and 4.86 min (3.28 min, 6.36 min), respectively, while the time for 75 test group students to complete the three operations was 1.27 min (0.87 min, 1.83 min), 2.57 min (1.58 min, 4.07 min), and 4.35 min (2.90 min, 6.42 min), respectively, with no significant difference between the two groups ( P>0.05). In terms of students' subjective evaluation of the course, a higher percentage of the test group students were satisfied with classroom environment, teaching method arrangement, training equipment, training opportunities, helping clinical work, and meeting pre-class expectations than those in the traditional group. Conclusion:The constantly updated BEST course can ensure the training quality of trainees and obtain their higher satisfaction. The benefits of this course in clinical practice can be further verified through long-term follow-up of these trainees.

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.

Objective:To investigate the safety and effectiveness of the laparoscopic hepatectomy guided by three-dimensional visualization technology for treating hepatolithiasis in military flying personnel and to discuss the aeromedical assessment.Methods:The diagnosis and treatment of a military flying personnel with hepatolithiasis admitted to the Air Force Medical Center in December of 2021 and the conclusions of aeromedical assessment were analyzed. The literature was reviewed in combination with the progress of new technologies.Results:This case, a 40-year-old male helicopter aerial machinist, had been found gallbladder stones for 12 years, hepatolithiasis for 8 years, and intermittent right upper abdominal pain for more than 3 months. Ultrasound and CT examination showed multiple gallbladder stones, intrahepatic bile duct stones in the right posterior lobe of the liver with bile duct dilatation. Under the guidance of three-dimensional visualization technology, laparoscopic liver segment 6 precise resection, cholecystectomy, common bile duct exploration and stone removal, and T-tube drainage were performed. The patient was well recovered and waivered to flight after 6 months of the operation. As of the submission date, he has safely flown for 50 h.Conclusions:Laparoscopic anatomical hepatectomy guided by three-dimensional visualization technology in the military flying personnel with hepatolithiasis shows good safety and effect, and those who recover well after surgery can be waivered to flight.

Objective:To investigate the safety and effectiveness of the laparoscopic hepatectomy guided by three-dimensional visualization technology for treating hepatolithiasis in military flying personnel and to discuss the aeromedical assessment.Methods:The diagnosis and treatment of a military flying personnel with hepatolithiasis admitted to the Air Force Medical Center in December of 2021 and the conclusions of aeromedical assessment were analyzed. The literature was reviewed in combination with the progress of new technologies.Results:This case, a 40-year-old male helicopter aerial machinist, had been found gallbladder stones for 12 years, hepatolithiasis for 8 years, and intermittent right upper abdominal pain for more than 3 months. Ultrasound and CT examination showed multiple gallbladder stones, intrahepatic bile duct stones in the right posterior lobe of the liver with bile duct dilatation. Under the guidance of three-dimensional visualization technology, laparoscopic liver segment 6 precise resection, cholecystectomy, common bile duct exploration and stone removal, and T-tube drainage were performed. The patient was well recovered and waivered to flight after 6 months of the operation. As of the submission date, he has safely flown for 50 h.Conclusions:Laparoscopic anatomical hepatectomy guided by three-dimensional visualization technology in the military flying personnel with hepatolithiasis shows good safety and effect, and those who recover well after surgery can be waivered to flight.

Objective:To evaluate the effect of irisin on ventilator-induced lung injury (VILI) in rats and the relationship with expression of NOD-like receptor pyrin domain containing 3 (NLRP3) inflammasomes.Methods:Thirty-six SPF-grade healthy adult male Sprague-Dawley rats, aged 6-8 weeks, weighing 220-300 g, were divided into 3 groups ( n=12 each) using a random number table method: control group (group C), group VILI and irisin group (group I). All the groups underwent tracheotomy and intubation, group C kept spontaneous breathing for 4 h, and the animals were mechanically ventilated for 4 h in VILI and I groups.Irisin 1 μg/kg was injected via the tail vein at 30 min before tracheal intubation in group I, and the equal volume of normal saline mixture (normal saline∶phosphate buffer solution containing 5% trehalose=1∶9) were given in the other 2 groups via the tail vein.The rats were mechanically ventilated with the tidal volume of 20 ml/kg, respiratory rate 80 breaths/min, inspiratory/expiratory ratio 1∶1, inspired oxygen fraction ratio 21% and positive end-expiratory pressure 0.Blood samples from left femoral artery were collected before tracheal intubation and at the end of mechanical ventilation for detection of PaO 2.The animals were sacrificed and the lung tissue samples and bronchoalveolar lavage fluid (BALF) were then collected for examination of the pathological changes (under the light microscope), and for determination of wet to dry weight (W/D) ratio and the concentrations of total protein in BALF and interleukin-1β (IL-1β) and IL-18 in BALF and serum (by enzyme-linked immunosorbent assay), level of reactive oxygen species (ROS) in alveolar macrophages in BALF (by DCFH-DA) and the expression of NLRP3, apoptosis-associated speck-like protein (ASC) and caspase-1 protein and mRNA in lung tissues (by Western blot and by quantitative reverse transcription polymerase chain reaction). The pathological changes of the lung were scored. Results:Compared with group C, PaO 2 was significantly decreased at the end of mechanical ventilation, lung injury score and W/D ratio were increased, concentration of total protein and ROS level in alveolar macrophages in BALF and concentrations of BALF, IL-1β and IL-18 in serum were increased, and the expression of NLRP3, ASC and caspase-1 protein and mRNA in lung tissues was up-regulated in group VILI and group I ( P<0.01). Compared with group VILI, PaO 2 was significantly increased at the end of mechanical ventilation, lung injury score and W/D ratio were decreased, concentration of total protein and ROS level in alveolar macrophages in BALF and concentrations of BALF, IL-1β and IL-18 in serum were decreased, and the expression of NLRP3, ASC and caspase-1 protein and mRNA in lung tissues was down-regulated in group I ( P<0.05). Conclusion:Irisin can reduce VILI, and the mechanism is related to inhibiting activation of NLRP3 inflammasome and reducing inflammatory response in rats.

Objective:To evaluate the effects of sevoflurane combined with propofol anesthesia on the synaptic plasticity in the hippocampus after operation in rats with mild cognitive impairment (MCI) and the relationship with potassium-chloride cotransporter-2 (KCC2)/sodium-potassium-chloride cotransporter 1 (NKCC1).Methods:Clean-grade healthy male Sprague-Dawley rats, aged 16-18 months, weighing 440-540 g, in which MCI was induced by severe bilateral common carotid artery stenosis (BCAS). Forty-eight rats with MCI were divided into 4 groups ( n=12 each) using a random number table method: sham operation group (group Sham), sevoflurane anesthesia group (group S), propofol anesthesia group (group P), and sevoflurane and propofol anesthesia group (group SP). After disappearance of eyelash reflex, open reduction and internal fixation was performed after tibial fracture was induced in S, P and SP groups.Anesthesia method was as follows: 1.7% sevoflurane was inhaled and propofol 20 mg·kg -1·h -1 was intravenously infused for 3 h in group SP, 3% sevoflurane was inhaled for 3 h in group S, and propofol was intravenously infused at rate of 40 mg·kg -1·h -1 for 3 h in group P. The novel object recognition (NOR) test was performed at 14 days after operation, and the discrimination index in NOR test was calculated.The in vivo electrophysiological experiment was performed on 19 days after operation to measure long-term potentiation and amplitude of the field excitatory postsynaptic potential (fEPSP). The expression of KCC2 and NKCC1 was determined by Western blot, and the ratio of KCC2/NKCC1 was calculated.The density of dendritic spines in the hippocampal CA1 region was determined by Golgi-COX staining performed at 30 days after operation. Results:Compared with Sham group, the discrimination index in NOR test, hippocampal KCC2/NKCC1 ratio, density of dendritic spines in hippocampal CA1 region, and amplitude of fEPSP were significantly decreased in S and P groups ( P<0.05), and no significant change was found in the parameters mentioned above in group SP ( P>0.05). Compared with group S or group P, the discrimination index in NOR test, hippocampal KCC2/NKCC1 ratio, density of dendritic spines in hippocampal CA1 region, and amplitude of fEPSP were significantly increased in group SP ( P<0.05). Conclusion:Sevoflurane combined with propofol anesthesia does not aggravate postoperative cognitive dysfunction in the rats with MCI, which may be related to maintaining the balance of hippocampal KCC2/NKCC1 and protecting the synaptic plasticity in hippocampi.