Objective:To evaluate the accuracy and safety profile of a novel cuboid orientation-guided frontal horn ventriculostomy technique in patients with large hemispheric infarction (LHI).Methods:It was conducted a retrospective cohort study of 48 consecutive LHI patients who underwent the innovative ventriculostomy procedure between time period. Primary outcomes included procedural accuracy (success rates, catheter positioning) and safety indicators (complication rates).Results:All the punctured ventricles were small or of normal size. The success rate of puncture was 100%, the success rate of one-time puncture was 87% (42/48), and the average number of puncture was 1.13 times per case. The ratio of well-positioned tube heads was 87.5% (42/48). The actual angle of the inward deviation of the puncture ranged from -2o to 5o, with an average of 0o±0.3o. The depth of puncture was 7.0-8.0 cm ( 7.3±0.3) cm. The incidence of bleeding around the puncture path was 1.3% (2/48 ) and no massive bleeding occurred. At the 6-month follow-up, one case (2.94%) among the 34 survivors had epilepsy.Conclusions:The cuboid orientation-guided frontal horn ventriculostomy technique demonstrates exceptional procedural accuracy and an excellent safety profile in LHI patients, with high first-pass success rates (87.5%) and minimal complications (4.2% minor hemorrhage). These findings support its clinical adoption for this patient population.

Objective·To develop a graph neural network(GNN)-based auxiliary diagnostic model for gallbladder cancer on CT images,and validate its accuracy and feasibility.Methods·From January 2010 to November 2023,1 774 contrast-enhanced CT arterial-phase images were acquired from 887 patients with normal gallbladder,benign gallbladder disease,or gallbladder cancer at Xinhua Hospital and Renji Hospital,Shanghai Jiao Tong University School of Medicine.These images were randomly divided into training and testing sets at a 4∶1 ratio to develop a hybrid GNN-convolutional neural network(CNN)model,named VJK-GIN.The model constructed a pixel-level graph in which each pixel served as a node,and spatial adjacency defined the edges,enabling extraction of local texture features.In the model architecture design,VJK-GIN integrated a three-layer graph isomorphism network,augmented with virtual nodes and jump-knowledge connections;global pooling compressed node features into a graph-level representation,which was classified by a multi-layer perceptron head.Five-fold cross-validation was used to compare VJK-GIN with GNN baselines(GCN,GraphSAGE,GAT,and GIN)and CNN baselines(ViT,EfficientNetV2,and ConvNeXt)in terms of accuracy,precision,recall,F1-score,and area under the receiver operating characteristic curve(AUC).Results·The results of five-fold cross-validation showed that VJK-GIN achieved an F1-score of 0.799(95%CI 0.775?0.823),recall of 0.795(95%CI 0.773?0.817),precision of 0.799(95%CI 0.775?0.823),AUC of 0.812(95%CI 0.792?0.832),and accuracy of 0.773(95%CI 0.748?0.798),surpassing all competing models across every metric.Conclusion·The VJK-GIN model exhibits high stability and accuracy in identifying contrast-enhanced CT images of normal,benign,and malignant gallbladder conditions.

The prognosis of stage IV gastric cancer is extremely poor. Due to the diversificationof treatment methods and the rise and popularizationof multidisciplinary treatment(MDT), the conversion therapy for stage IV gastric cancer has been recognized by more and more surgeons, which brings hope to patients with stage IV gastric cancer,. However, stage IV gastric cancer has various forms of metastasis, and the effect of conversion therapy and the prognosis of patients depend on the site of tumor metastasis and the systemic tumor load. Our team has long applied MDT diagnosis and treatment mode to patients with stage IV gastric cancer, performing R0 surgical resection for patients with tumor down staging or distant metastasis control after conversion. We would like to share our team's experiences and some controversial hot topics, focal points and difficult problems.

Objective:To investigate the application value of needle-knife accurate fistulo-tomy (NKAF) for difficult biliary cannulation during endoscopic retrograde cholangiopancreato-graphy (ERCP).Methods:The retrospective and descriptive study was conducted. The clinicopatho-logical data of 137 patients with difficult biliary cannulation during ERCP at Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine between January 2021 and December 2022 were collected. There were 51 males and 86 females, aged (69±13)years. All 137 patients received NKAF for cannulation during ERCP. Observation indicators: (1) surgical situations; (2) complications. Measurement data with normal distribution were represented as Mean± SD. Count data were repre-sented as absolute numbers. Results:(1) Surgical situations. Of 137 patients, 136 cases had succe-ssful cannulation, 1 case had failed cannulation with NKAF following unsuccessful double-guidewire technique. In the 136 successful cases, the endoscope was straightened in 42 cases, left in a long position in 37 cases, and maintained in the standard position in 57 cases. The cannulation time was (90±8)s. (2) Complications. The serum amylase at postoperative 6 hours in the 136 successful cases was (163±23)U/L. No patient developed post-ERCP pancreatitis. Of the 136 patients with successful cannulation, one case experienced post-sphincterotomy bleeding, which was observed oozing from the papillary orifice on emergency gastroscopy. The patient was successfully controlled with endoscopic clips.Conclusion:NKAF is safe and effective for difficult biliary cannulation during ERCP.

Gallbladder cancer is a highly aggressive malignancy of the biliary system, often diagnosed at the advanced stage due to its insidious early symptoms, leading to poor overall progno-sis. In recent years, the rapid advancement of artificial intelligence (AI) technologies and their inte-gration into medicine have opened new avenues for the early diagnosis and precision treatment of gallbladder cancer. Currently, AI incorporating deep learning algorithm has significantly improved diagnostic sensitivity and specificity in ultrasound, computed tomography, and pathological analysis. However, clinical translation of AI models remains limited by challenges such as insufficient annota-ted data and limited model interpretability. Future research should focus on establishing multi-center data-sharing mechanisms, developing interpretability tools, and optimizing multimodal data integration strategies, thereby promoting the transformation of AI technologies from an auxiliary diagnostic tool to a core component of clinical decision-making.

The prognosis of stage IV gastric cancer is extremely poor. Due to the diversificationof treatment methods and the rise and popularizationof multidisciplinary treatment(MDT), the conversion therapy for stage IV gastric cancer has been recognized by more and more surgeons, which brings hope to patients with stage IV gastric cancer,. However, stage IV gastric cancer has various forms of metastasis, and the effect of conversion therapy and the prognosis of patients depend on the site of tumor metastasis and the systemic tumor load. Our team has long applied MDT diagnosis and treatment mode to patients with stage IV gastric cancer, performing R0 surgical resection for patients with tumor down staging or distant metastasis control after conversion. We would like to share our team's experiences and some controversial hot topics, focal points and difficult problems.

Objective:To investigate the application value of needle-knife accurate fistulo-tomy (NKAF) for difficult biliary cannulation during endoscopic retrograde cholangiopancreato-graphy (ERCP).Methods:The retrospective and descriptive study was conducted. The clinicopatho-logical data of 137 patients with difficult biliary cannulation during ERCP at Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine between January 2021 and December 2022 were collected. There were 51 males and 86 females, aged (69±13)years. All 137 patients received NKAF for cannulation during ERCP. Observation indicators: (1) surgical situations; (2) complications. Measurement data with normal distribution were represented as Mean± SD. Count data were repre-sented as absolute numbers. Results:(1) Surgical situations. Of 137 patients, 136 cases had succe-ssful cannulation, 1 case had failed cannulation with NKAF following unsuccessful double-guidewire technique. In the 136 successful cases, the endoscope was straightened in 42 cases, left in a long position in 37 cases, and maintained in the standard position in 57 cases. The cannulation time was (90±8)s. (2) Complications. The serum amylase at postoperative 6 hours in the 136 successful cases was (163±23)U/L. No patient developed post-ERCP pancreatitis. Of the 136 patients with successful cannulation, one case experienced post-sphincterotomy bleeding, which was observed oozing from the papillary orifice on emergency gastroscopy. The patient was successfully controlled with endoscopic clips.Conclusion:NKAF is safe and effective for difficult biliary cannulation during ERCP.

Gallbladder cancer is a highly aggressive malignancy of the biliary system, often diagnosed at the advanced stage due to its insidious early symptoms, leading to poor overall progno-sis. In recent years, the rapid advancement of artificial intelligence (AI) technologies and their inte-gration into medicine have opened new avenues for the early diagnosis and precision treatment of gallbladder cancer. Currently, AI incorporating deep learning algorithm has significantly improved diagnostic sensitivity and specificity in ultrasound, computed tomography, and pathological analysis. However, clinical translation of AI models remains limited by challenges such as insufficient annota-ted data and limited model interpretability. Future research should focus on establishing multi-center data-sharing mechanisms, developing interpretability tools, and optimizing multimodal data integration strategies, thereby promoting the transformation of AI technologies from an auxiliary diagnostic tool to a core component of clinical decision-making.

Objective·To develop a graph neural network(GNN)-based auxiliary diagnostic model for gallbladder cancer on CT images,and validate its accuracy and feasibility.Methods·From January 2010 to November 2023,1 774 contrast-enhanced CT arterial-phase images were acquired from 887 patients with normal gallbladder,benign gallbladder disease,or gallbladder cancer at Xinhua Hospital and Renji Hospital,Shanghai Jiao Tong University School of Medicine.These images were randomly divided into training and testing sets at a 4∶1 ratio to develop a hybrid GNN-convolutional neural network(CNN)model,named VJK-GIN.The model constructed a pixel-level graph in which each pixel served as a node,and spatial adjacency defined the edges,enabling extraction of local texture features.In the model architecture design,VJK-GIN integrated a three-layer graph isomorphism network,augmented with virtual nodes and jump-knowledge connections;global pooling compressed node features into a graph-level representation,which was classified by a multi-layer perceptron head.Five-fold cross-validation was used to compare VJK-GIN with GNN baselines(GCN,GraphSAGE,GAT,and GIN)and CNN baselines(ViT,EfficientNetV2,and ConvNeXt)in terms of accuracy,precision,recall,F1-score,and area under the receiver operating characteristic curve(AUC).Results·The results of five-fold cross-validation showed that VJK-GIN achieved an F1-score of 0.799(95%CI 0.775?0.823),recall of 0.795(95%CI 0.773?0.817),precision of 0.799(95%CI 0.775?0.823),AUC of 0.812(95%CI 0.792?0.832),and accuracy of 0.773(95%CI 0.748?0.798),surpassing all competing models across every metric.Conclusion·The VJK-GIN model exhibits high stability and accuracy in identifying contrast-enhanced CT images of normal,benign,and malignant gallbladder conditions.

OBJECTIVE To study the improvement effect and mechanism of Shuhou tongqi formula on intestinal injury in mice with postoperative ileus （POI）. METHODS Mice were randomly divided into sham operation group， model group， positive control group （Mosapride citrate tablets， 1.95 mg/kg）， and Shuhou tongqi formula group （1.88 g/kg）， with 6 mice in each group. Except for the sham operation group， POI model was induced in other groups by typical small intestinal interference. Each group was given relevant drug liquid/water， once a day， for consecutive 2 days. After the last medication， the percentage of carbon powder propulsion in small intestine was detected， and pathomorphological changes in ileum tissue of mice were observed. The serum levels of interleukin-6 （IL-6）， IL-10， tumor necrosis factor-α （TNF-α）， motilin （MTL） and somatostatin （SS） were all detected； the expression levels of Toll-like receptor 4 （TLR4）， nuclear factor κB （NF-κB p65） and p38 mitogen-activated protein kinase （p38 MAPK） were determined in ileal tissue of mice； the gut microbiota of colon contents was analyzed in each group of mice. RESULTS After the intervention of Shuhou tongqi formula， pathological damage such as intestinal wall atrophy and mucosal capillary congestion in ileum tissue were improved significantly； the percentage of carbon powder propulsion and the serum level of IL-10 and MTL were increased significantly （P＜0.05）； however， serum levels of TNF-α， IL-6 and SS， the expressions of TLR4， NF-κB p65 and p38 MAPK were decreased significantly （P＜0.05）. The analysis of gut microbiota showed that Shuhou tongqi formula could significantly increase ACE， Chao1， Shannon and PD indexes， and relative abundance of Akkermansia （P＜0.05）， but decreased relative abundance of Proteobacteria， Ligilactobacillus and Escherichia-Shigella significantly （P＜0.05）. CONCLUSIONS Shuhou tongqi formula can improve intestinal injury and inflammatory reaction of POI mice， the mechanism of which may be associated with inhibiting the activity of TLR4/ NF-κB/MAPK signaling pathway， regulating the levels of gastrointestinal hormones and improving the disturbance of intestinal flora in mice. E-mail：1643589936@qq.com