Objective:To investigate the application value of gastric suspension method in supra-pancreatic lymph node dissection of laparoscopic radical gastrectomy of gastric cancer.Method:The retrospective cohort study was conducted. The clinicopathological data of 84 patients who under-went laparoscopic radical gastrectomy of gastric cancer at Zhejiang Cancer Hospital from August 2023 to July 2024 were collected. There were 61 males and 23 females, aged (64±11)years. Of the 84 patients, 42 patients undergoing supra-pancreatic lymph node dissection during laparoscopic radical gastrectomy of gastric cancer with traditional method for surgical field exposure were divided into the control group, and 42 patients undergoing supra-pancreatic lymph node dissection during laparoscopic radical gastrectomy of gastric cancer with gastric suspension method for surgical field exposure were divided into the suspension group. Observation indicators: (1) surgical conditions; (2) postoperative conditions. Comparison of measurement data with normal distribution between groups was conducted using the independent sample 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. Results:(1) Surgical condi-tions. The time for supra-pancreatic lymph node dissection of the control group was (78±14)minutes. Number of grasping operations was 116±34, number of bleeding sites caused by grasping operations was 7.8±2.7, and operation time was (3.9±0.8)hours. The above indicators of the suspension group were (59±12)minutes, 68±19, 2.1±1.5, and (3.3±0.7)hours, respectively. There were significant diffe-rences in the above indicators between the two groups ( t=5.42, 8.10, 8.31, 3.14, P<0.05). (2) Post-operative conditions. The tumor diameter was 2.5(2.0,3.5)cm for patients of the control group, versus 3.0(2.4, 4.4)cm for patients of the suspension group, showing a significant difference between the two groups ( Z=-1.98, P<0.05). Conclusion:Compared with the traditional non-suspension method, the gastric suspension method in laparoscopic radical gastrectomy of gastric cancer for supra-pancreatic lymph node dissection is associated with shorter operation time and less trauma.

Objective:To evaluate the functional outcomes and postoperative complications associated with modified Toupet-like (mToupet-like) anastomosis following proximal gastrectomy for patients with gastric tumors.Methods:After proximal gastrectomy, barbed sutures (2-3 stitches) in the seromuscular layer were used to secure the anterior wall of the stomach at a distance of 1-2 cm from the closure line and the posterior wall of the esophagus at a distance of 5.0 cm from the closure line. The remnant stomach was then positioned posterior to the esophagus on the greater curvature side. Esophagogastric anterior wall anastomosis (manual or circular stapling) was performed at the greater curvature of the remnant stomach, 3 cm distal to the gastroesophageal fixation point. A Toupet-like folding procedure was conducted by folding the reconstructed gastric fundus and wall anteriorly from behind the esophagus and embedding the esophagus within a 270° wrap at the site of stomach-esophagus fixation.Results:Twelve patients with gastric tumors underwent proximal partial gastrectomy with mToupet-like anastomosis in the Department of Gastric Surgery at Zhejiang Cancer Hospital from January to March 2024. Among them, 10 diagnosed as upper gastric adenocarcinoma, and 2 diagnosed as gastric gastrointestinal stromal tumors. The cohort included nine male patients and three female patients, aged 46 to 77 years old, with a body mass index (BMI) ranging from 19.7 to 27.3 kg/m2. The maximum tumor diameter was less than 4 cm, and the predicted residual gastric volume exceeded one-half. Laparoscopic surgery was performed in 11 patients, while only 1 patient underwent open surgery. The mean duration of mToupet-like anastomosis was 48.3±8.7 minutes with an estimated intraoperative blood loss was 53.0±11.2 ml. All the 12 patients successfully achieved R0 resection. Among these patietns, the median postoperative hospital stay was 8.5 (7.0, 11.0) days, and the average hospitalization cost was 5.0±0.2 ten thousand yuan. No Clavien-Dindo grade II or higher complications were observed during the perioperative period. Patients were followed up for 6 to 8 months after operation, and no cases of reflux esophagitis were detected by gastroscopy, and no patient required long-term oral proton pump inhibitors.Conclusions:mToupet-like anastomosis for digestive tract reconstruction after proximal gastrectomy is a safe and feasible technique, demonstrating favorable preliminary efficacy.

Objective:To develop a deep learning-based segmentation model for anterior segment ultrasound biomicroscopy (UBM) images to automatically segment the anterior segment tissues of patients with primary angle-closure glaucoma (PACG).Methods:A single-center retrospective case series was conducted.A small-scale dataset comprised 468 UBM images of the anterior chamber angle closure from 156 patients with PACG who underwent the UBM examination at Tianjin Medical University Eye Hospital between July 12, 2022, and February 20, 2023.The UBM images were randomly split into a training dataset of 228 images and a testing dataset of 152 images using a random seed method in a ratio of 6∶4.The models were trained using the PSPNet model with MobileNet V2 and ResNet50 as backbones, the DeepLab v3+ model with MobileNet V2 and Xception as backbones, and the SegFormer model with MiT-B0 and MiT-B2 as backbones.The testing dataset was used for result prediction and to achieve segmentation of four regions: the cornea and sclera, iris, ciliary body, and anterior lens surface.To evaluate the performance of the models in segmenting the anterior segment structures, multiple metrics were assessed, including the mean intersection over union (mIoU), Dice coefficient, precision, recall, false negative rate, and specificity.A comparative analysis of the test results across the different models was subsequently performed.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Tianjin Medical University Eye Hospital (No.2023KY-05).Results:The two models with the best segmentation performance were PSPNet and DeepLab v3+ .The PSPNet model with ResNet50 as the backbone achieved the mIoU of 85.11%, Dice coefficient of 91.38%, precision of 91.83%, recall of 90.94%, false negative rate of 9.06%, and specificity of 98.89%.The DeepLab v3+ model with MobileNet V2 as the backbone achieved an mIoU of 85.84%, Dice coefficient of 92.01%, precision of 92.67%, recall of 91.36%, false negative rate of 8.64%, and specificity of 98.90%.Among the five key metrics, mIoU, Dice coefficient, recall, false negative rate, and specificity, DeepLab v3+ exhibited the best segmentation performance.In addition, the DeepLab v3+ model with Xception as the backbone had the highest precision among all models, reaching 92.77%.Conclusions:The deep learning-based DeepLab v3+ model achieves precise segmentation of anterior segment tissue structures in PACG anterior segment UBM image segmentation, providing auxiliary support for clinical diagnosis.

Objective:To investigate the application value of gastric suspension method in supra-pancreatic lymph node dissection of laparoscopic radical gastrectomy of gastric cancer.Method:The retrospective cohort study was conducted. The clinicopathological data of 84 patients who under-went laparoscopic radical gastrectomy of gastric cancer at Zhejiang Cancer Hospital from August 2023 to July 2024 were collected. There were 61 males and 23 females, aged (64±11)years. Of the 84 patients, 42 patients undergoing supra-pancreatic lymph node dissection during laparoscopic radical gastrectomy of gastric cancer with traditional method for surgical field exposure were divided into the control group, and 42 patients undergoing supra-pancreatic lymph node dissection during laparoscopic radical gastrectomy of gastric cancer with gastric suspension method for surgical field exposure were divided into the suspension group. Observation indicators: (1) surgical conditions; (2) postoperative conditions. Comparison of measurement data with normal distribution between groups was conducted using the independent sample 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. Results:(1) Surgical condi-tions. The time for supra-pancreatic lymph node dissection of the control group was (78±14)minutes. Number of grasping operations was 116±34, number of bleeding sites caused by grasping operations was 7.8±2.7, and operation time was (3.9±0.8)hours. The above indicators of the suspension group were (59±12)minutes, 68±19, 2.1±1.5, and (3.3±0.7)hours, respectively. There were significant diffe-rences in the above indicators between the two groups ( t=5.42, 8.10, 8.31, 3.14, P<0.05). (2) Post-operative conditions. The tumor diameter was 2.5(2.0,3.5)cm for patients of the control group, versus 3.0(2.4, 4.4)cm for patients of the suspension group, showing a significant difference between the two groups ( Z=-1.98, P<0.05). Conclusion:Compared with the traditional non-suspension method, the gastric suspension method in laparoscopic radical gastrectomy of gastric cancer for supra-pancreatic lymph node dissection is associated with shorter operation time and less trauma.

Objective·To develop a multi-algorithm collaborative computational biology strategy for constructing a predictive model of the peripheral morphine tolerance network and for screening high-confidence candidate targets.Methods·A murine model of morphine tolerance was established across multiple treatment time points.Bulk RNA sequencing was performed on harvested dorsal root ganglion(DRG)tissues.Using the expression matrix as a basis,a weighted gene co-expression network was constructed to identify co-expressed gene modules.Candidate genes were subsequently screened through the integration of differentially expressed genes(DEGs)with key weighted gene co-expression network modules.These candidates underwent functional annotation via Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses.A protein-protein interaction(PPI)network was established,and hub genes were systematically identified using the cytoHubba algorithm.Three distinct machine learning approaches,least absolute shrinkage and selection operator(LASSO)regression,support vector machine recursive feature elimination(SVM-RFE)model,and random forest(RF)model,were strategically integrated to screen characteristic signature genes.Finally,gene set enrichment analysis(GSEA)was implemented to functionally validate both the hub and signature genes.Results·Weighted gene co-expression network analysis(WGCNA)identified 8 297 key module genes,of which 177 candidate genes overlapped with DEGs.These genes were significantly enriched in biological processes including ion channel regulation and vascular smooth muscle contraction.A combination of PPI network analysis and machine learning revealed four signature genes[actin γ2,smooth muscle(Actg2),centriolar coiled-coil protein 110(Ccp110),neural cell adhesion molecule 2(Ncam2),and selenium binding protein 1(Selenbp1)]and six hub genes[actin α2,smooth muscle(Acta2),von Willebrand factor(Vwf),cellular communication network factor 2(Ccn2),integrin β4(Itgb4),integrin α11(Itga11),and TEK receptor tyrosine kinase(Tek)]closely associated with morphine tolerance.Conclusion·In this study,we successfully constructed a multi-algorithm collaborative peripheral nerve regulation network prediction model for morphine tolerance,and screened out 10 core genes with high confidence.

Objective To explore the efficacy and safety of 0.02％atropine eye drops for the treatment of nearwork-induced transient myopia(NITM)in adolescents.Methods A total of 131 adolescents with NITM were randomly divided into experimental(receiving 0.02％atropine eye drops)and control(receiving placebo)groups.Changes in the initial NITM values before medication and at 14 and 30 days after medication were observed.Alterations in intraocular pressure and accommodation amplitude were monitored,and the occurrence of complications,such as photophobia and near vision impairment,were recorded.Results The baseline NITM did not differ significantly between the two groups.On day 14 and day 30,the NITM values in the experimental group were significantly reduced compared to the baseline,with differences of 0.31 D±0.20 D and 0.30 D±0.16 D,which were significantly greater than those in the control group(0.21 D±0.98 D and 0.20 D±0.18 D,P＜0.001).The efficacy rate of NITM treatment in the experimental group was 84.4％,which was sig-nificantly higher than that in the control group(29.9％).After 30 days of treatment,no severe systemic or ocular adverse reactions were observed in the experimental group.Mild photophobia was the main adverse reaction.Conclusion 0.02％atropine eye drops can effec-tively reduce the initial NITM value in adolescents within a month of its use,with no severe complications and good tolerance.A clinical trial of atropine eye drops at different concentrations to reduce NITM over a longer period is warranted.

Objective:To develop a deep learning-based segmentation model for anterior segment ultrasound biomicroscopy (UBM) images to automatically segment the anterior segment tissues of patients with primary angle-closure glaucoma (PACG).Methods:A single-center retrospective case series was conducted.A small-scale dataset comprised 468 UBM images of the anterior chamber angle closure from 156 patients with PACG who underwent the UBM examination at Tianjin Medical University Eye Hospital between July 12, 2022, and February 20, 2023.The UBM images were randomly split into a training dataset of 228 images and a testing dataset of 152 images using a random seed method in a ratio of 6∶4.The models were trained using the PSPNet model with MobileNet V2 and ResNet50 as backbones, the DeepLab v3+ model with MobileNet V2 and Xception as backbones, and the SegFormer model with MiT-B0 and MiT-B2 as backbones.The testing dataset was used for result prediction and to achieve segmentation of four regions: the cornea and sclera, iris, ciliary body, and anterior lens surface.To evaluate the performance of the models in segmenting the anterior segment structures, multiple metrics were assessed, including the mean intersection over union (mIoU), Dice coefficient, precision, recall, false negative rate, and specificity.A comparative analysis of the test results across the different models was subsequently performed.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Tianjin Medical University Eye Hospital (No.2023KY-05).Results:The two models with the best segmentation performance were PSPNet and DeepLab v3+ .The PSPNet model with ResNet50 as the backbone achieved the mIoU of 85.11%, Dice coefficient of 91.38%, precision of 91.83%, recall of 90.94%, false negative rate of 9.06%, and specificity of 98.89%.The DeepLab v3+ model with MobileNet V2 as the backbone achieved an mIoU of 85.84%, Dice coefficient of 92.01%, precision of 92.67%, recall of 91.36%, false negative rate of 8.64%, and specificity of 98.90%.Among the five key metrics, mIoU, Dice coefficient, recall, false negative rate, and specificity, DeepLab v3+ exhibited the best segmentation performance.In addition, the DeepLab v3+ model with Xception as the backbone had the highest precision among all models, reaching 92.77%.Conclusions:The deep learning-based DeepLab v3+ model achieves precise segmentation of anterior segment tissue structures in PACG anterior segment UBM image segmentation, providing auxiliary support for clinical diagnosis.

Objective·To develop a multi-algorithm collaborative computational biology strategy for constructing a predictive model of the peripheral morphine tolerance network and for screening high-confidence candidate targets.Methods·A murine model of morphine tolerance was established across multiple treatment time points.Bulk RNA sequencing was performed on harvested dorsal root ganglion(DRG)tissues.Using the expression matrix as a basis,a weighted gene co-expression network was constructed to identify co-expressed gene modules.Candidate genes were subsequently screened through the integration of differentially expressed genes(DEGs)with key weighted gene co-expression network modules.These candidates underwent functional annotation via Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses.A protein-protein interaction(PPI)network was established,and hub genes were systematically identified using the cytoHubba algorithm.Three distinct machine learning approaches,least absolute shrinkage and selection operator(LASSO)regression,support vector machine recursive feature elimination(SVM-RFE)model,and random forest(RF)model,were strategically integrated to screen characteristic signature genes.Finally,gene set enrichment analysis(GSEA)was implemented to functionally validate both the hub and signature genes.Results·Weighted gene co-expression network analysis(WGCNA)identified 8 297 key module genes,of which 177 candidate genes overlapped with DEGs.These genes were significantly enriched in biological processes including ion channel regulation and vascular smooth muscle contraction.A combination of PPI network analysis and machine learning revealed four signature genes[actin γ2,smooth muscle(Actg2),centriolar coiled-coil protein 110(Ccp110),neural cell adhesion molecule 2(Ncam2),and selenium binding protein 1(Selenbp1)]and six hub genes[actin α2,smooth muscle(Acta2),von Willebrand factor(Vwf),cellular communication network factor 2(Ccn2),integrin β4(Itgb4),integrin α11(Itga11),and TEK receptor tyrosine kinase(Tek)]closely associated with morphine tolerance.Conclusion·In this study,we successfully constructed a multi-algorithm collaborative peripheral nerve regulation network prediction model for morphine tolerance,and screened out 10 core genes with high confidence.

Objective To explore the efficacy and safety of 0.02％atropine eye drops for the treatment of nearwork-induced transient myopia(NITM)in adolescents.Methods A total of 131 adolescents with NITM were randomly divided into experimental(receiving 0.02％atropine eye drops)and control(receiving placebo)groups.Changes in the initial NITM values before medication and at 14 and 30 days after medication were observed.Alterations in intraocular pressure and accommodation amplitude were monitored,and the occurrence of complications,such as photophobia and near vision impairment,were recorded.Results The baseline NITM did not differ significantly between the two groups.On day 14 and day 30,the NITM values in the experimental group were significantly reduced compared to the baseline,with differences of 0.31 D±0.20 D and 0.30 D±0.16 D,which were significantly greater than those in the control group(0.21 D±0.98 D and 0.20 D±0.18 D,P＜0.001).The efficacy rate of NITM treatment in the experimental group was 84.4％,which was sig-nificantly higher than that in the control group(29.9％).After 30 days of treatment,no severe systemic or ocular adverse reactions were observed in the experimental group.Mild photophobia was the main adverse reaction.Conclusion 0.02％atropine eye drops can effec-tively reduce the initial NITM value in adolescents within a month of its use,with no severe complications and good tolerance.A clinical trial of atropine eye drops at different concentrations to reduce NITM over a longer period is warranted.

Objective:To evaluate the functional outcomes and postoperative complications associated with modified Toupet-like (mToupet-like) anastomosis following proximal gastrectomy for patients with gastric tumors.Methods:After proximal gastrectomy, barbed sutures (2-3 stitches) in the seromuscular layer were used to secure the anterior wall of the stomach at a distance of 1-2 cm from the closure line and the posterior wall of the esophagus at a distance of 5.0 cm from the closure line. The remnant stomach was then positioned posterior to the esophagus on the greater curvature side. Esophagogastric anterior wall anastomosis (manual or circular stapling) was performed at the greater curvature of the remnant stomach, 3 cm distal to the gastroesophageal fixation point. A Toupet-like folding procedure was conducted by folding the reconstructed gastric fundus and wall anteriorly from behind the esophagus and embedding the esophagus within a 270° wrap at the site of stomach-esophagus fixation.Results:Twelve patients with gastric tumors underwent proximal partial gastrectomy with mToupet-like anastomosis in the Department of Gastric Surgery at Zhejiang Cancer Hospital from January to March 2024. Among them, 10 diagnosed as upper gastric adenocarcinoma, and 2 diagnosed as gastric gastrointestinal stromal tumors. The cohort included nine male patients and three female patients, aged 46 to 77 years old, with a body mass index (BMI) ranging from 19.7 to 27.3 kg/m2. The maximum tumor diameter was less than 4 cm, and the predicted residual gastric volume exceeded one-half. Laparoscopic surgery was performed in 11 patients, while only 1 patient underwent open surgery. The mean duration of mToupet-like anastomosis was 48.3±8.7 minutes with an estimated intraoperative blood loss was 53.0±11.2 ml. All the 12 patients successfully achieved R0 resection. Among these patietns, the median postoperative hospital stay was 8.5 (7.0, 11.0) days, and the average hospitalization cost was 5.0±0.2 ten thousand yuan. No Clavien-Dindo grade II or higher complications were observed during the perioperative period. Patients were followed up for 6 to 8 months after operation, and no cases of reflux esophagitis were detected by gastroscopy, and no patient required long-term oral proton pump inhibitors.Conclusions:mToupet-like anastomosis for digestive tract reconstruction after proximal gastrectomy is a safe and feasible technique, demonstrating favorable preliminary efficacy.