Objective:To investigate the influencing factors for safe abdominal wall recons-truction in giant ventral hernia based on imaging and clinical features.Methods:The retrospective case-control study was conducted. The imaging and clinical data of 369 patients with giant ventral hernia who were admitted to Beijing Chaoyang Hospital of Capital Medical University from January 2017 to December 2023 were collected. There were 182 males and 187 females, aged (63±14)years. Among 369 patients, 311 cases underwent safe abdominal wall reconstruction and 58 underwent high-risk abdominal wall reconstruction. Observation indicators: (1) clinical and imaging characteris-tics; (2) analysis of influencing factors for safe abdominal wall reconstruction in giant ventral hernia. 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. Comparison of ordinal data between groups was conducted using the nonparametic rank sum test. Logistic regression, Lasso regression, and random forest analyses were used for influencing factors analysis. Results:(1) Clinical and imaging characteristics. There were significant differences between patients with safe and high-risk abdominal wall reconstruction in presence of a definite secondary abdominal cavity, maximum axial diameter of the defect, maximum transverse diameter of the defect, abdominal wall defect area, component separation index (CSI), abdominal wall opening angle, ratio of CSI, muscle grayscale at the defect, hernia sac volume, hernia sac-abdominal cavity volume ratio, and defect long-axis-to-abdominal cavity ratio ( P<0.05). (2) Analysis of influencing factors for safe abdominal wall reconstruction in giant ventral hernia. Results of Logistic regression analysis showed that presence of a definite secondary abdominal cavity, maximum axial diameter of the defect, maximum transverse diameter of the defect, abdominal wall defect area, CSI, abdominal wall opening angle, ratio of CSI, muscle grayscale at the defect (inner-superior or right), hernia sac volume, hernia sac-abdominal cavity volume ratio, and defect long-axis-to-abdominal cavity ratio were factors associated with safe abdominal wall reconstruction in giant ventral hernia [ odds ratio ( OR)=3.955, 1.189, 1.395, 1.127, 2.006, 1.042, 1.095, 0.881, 1.102, 1.109, 1.601, 95% confidence interval ( CI) as 2.179-7.178, 1.113-1.271, 1.267-1.537, 1.090-1.166, 1.651-2.437, 1.014-1.071, 1.066-1.125, 0.798-0.972, 1.057-1.148, 1.067-1.153, 1.343-1.909]. The top 3 factors for discriminative performance were abdominal wall CSI, ratio of CSI, maximum transverse diameter of the defect and the abdominal wall defect area, with area under the curve of 0.794, 0.777, 0.772, and 0.772, respectively. Results of Lasso regression analysis showed that body mass index, smoking, chronic obstructive pulmonary disease, American Society of Anesthesiologists classification, presence of a definite secondary abdominal cavity, abdominal wall defect area, abdominal wall opening angle, abdominal wall CSI, muscle grayscale at the defect (inner-superior or right), and hernia sac-to-abdominal cavity volume ratio were associated factors with safe abdominal wall reconstruction in giant ventral hernia (coefficients as -0.002, 0.003, 0.007, 0.014, 0.021, 0.077, 0.023, 0.059, -0.010, 0.037). Results of random forest analysis showed the abdominal wall CSI, maximum transverse diameter of the defect, abdominal wall defect area, ratio of defectr opening angle, maximum axial long diameter of the defect, hernia sac-to-abdominal cavity volume ratio, abdominal wall opening angle, defect long-axis-to-abdominal cavity ratio, muscle grayscale at the defect (inner-superior or right), and body mass index as associated factors with safe abdominal wall reconstruction in giant ventral hernia (importance score=0.092, 0.089, 0.079, 0.056, 0.051, 0.047, 0.045, 0.039, 0.038, 0.035). Conclusion:Abdominal wall CSI, abdominal wall defect area, abdominal wall opening angle, muscle grayscale at the defect (inner-superior or right), and hernia sac-to-abdominal cavity volume ratio are factors associated with safe abdominal wall reconstruction in giant ventral hernia.

Surgical robot(SR),which integrates mechanical control,multimodal image navigation and artificial intelligence(AI)algorithms,is reshaping modern surgical paradigm with its advantages of minimally invasive operation,high precision and intelligent capabilities.The evolution,classification and representative commercial platforms of SR both domestically and internationally were systematically reviewed in this article,mainly focused on in-depth comparison of core parameters and key technological breakthroughs across different manufacturers and future development trends toward semi-autonomous and fully autonomous surgical systems.

Objective:To investigate the influencing factors for safe abdominal wall recons-truction in giant ventral hernia based on imaging and clinical features.Methods:The retrospective case-control study was conducted. The imaging and clinical data of 369 patients with giant ventral hernia who were admitted to Beijing Chaoyang Hospital of Capital Medical University from January 2017 to December 2023 were collected. There were 182 males and 187 females, aged (63±14)years. Among 369 patients, 311 cases underwent safe abdominal wall reconstruction and 58 underwent high-risk abdominal wall reconstruction. Observation indicators: (1) clinical and imaging characteris-tics; (2) analysis of influencing factors for safe abdominal wall reconstruction in giant ventral hernia. 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. Comparison of ordinal data between groups was conducted using the nonparametic rank sum test. Logistic regression, Lasso regression, and random forest analyses were used for influencing factors analysis. Results:(1) Clinical and imaging characteristics. There were significant differences between patients with safe and high-risk abdominal wall reconstruction in presence of a definite secondary abdominal cavity, maximum axial diameter of the defect, maximum transverse diameter of the defect, abdominal wall defect area, component separation index (CSI), abdominal wall opening angle, ratio of CSI, muscle grayscale at the defect, hernia sac volume, hernia sac-abdominal cavity volume ratio, and defect long-axis-to-abdominal cavity ratio ( P<0.05). (2) Analysis of influencing factors for safe abdominal wall reconstruction in giant ventral hernia. Results of Logistic regression analysis showed that presence of a definite secondary abdominal cavity, maximum axial diameter of the defect, maximum transverse diameter of the defect, abdominal wall defect area, CSI, abdominal wall opening angle, ratio of CSI, muscle grayscale at the defect (inner-superior or right), hernia sac volume, hernia sac-abdominal cavity volume ratio, and defect long-axis-to-abdominal cavity ratio were factors associated with safe abdominal wall reconstruction in giant ventral hernia [ odds ratio ( OR)=3.955, 1.189, 1.395, 1.127, 2.006, 1.042, 1.095, 0.881, 1.102, 1.109, 1.601, 95% confidence interval ( CI) as 2.179-7.178, 1.113-1.271, 1.267-1.537, 1.090-1.166, 1.651-2.437, 1.014-1.071, 1.066-1.125, 0.798-0.972, 1.057-1.148, 1.067-1.153, 1.343-1.909]. The top 3 factors for discriminative performance were abdominal wall CSI, ratio of CSI, maximum transverse diameter of the defect and the abdominal wall defect area, with area under the curve of 0.794, 0.777, 0.772, and 0.772, respectively. Results of Lasso regression analysis showed that body mass index, smoking, chronic obstructive pulmonary disease, American Society of Anesthesiologists classification, presence of a definite secondary abdominal cavity, abdominal wall defect area, abdominal wall opening angle, abdominal wall CSI, muscle grayscale at the defect (inner-superior or right), and hernia sac-to-abdominal cavity volume ratio were associated factors with safe abdominal wall reconstruction in giant ventral hernia (coefficients as -0.002, 0.003, 0.007, 0.014, 0.021, 0.077, 0.023, 0.059, -0.010, 0.037). Results of random forest analysis showed the abdominal wall CSI, maximum transverse diameter of the defect, abdominal wall defect area, ratio of defectr opening angle, maximum axial long diameter of the defect, hernia sac-to-abdominal cavity volume ratio, abdominal wall opening angle, defect long-axis-to-abdominal cavity ratio, muscle grayscale at the defect (inner-superior or right), and body mass index as associated factors with safe abdominal wall reconstruction in giant ventral hernia (importance score=0.092, 0.089, 0.079, 0.056, 0.051, 0.047, 0.045, 0.039, 0.038, 0.035). Conclusion:Abdominal wall CSI, abdominal wall defect area, abdominal wall opening angle, muscle grayscale at the defect (inner-superior or right), and hernia sac-to-abdominal cavity volume ratio are factors associated with safe abdominal wall reconstruction in giant ventral hernia.

Surgical robot(SR),which integrates mechanical control,multimodal image navigation and artificial intelligence(AI)algorithms,is reshaping modern surgical paradigm with its advantages of minimally invasive operation,high precision and intelligent capabilities.The evolution,classification and representative commercial platforms of SR both domestically and internationally were systematically reviewed in this article,mainly focused on in-depth comparison of core parameters and key technological breakthroughs across different manufacturers and future development trends toward semi-autonomous and fully autonomous surgical systems.

Objective:To integrate implicit templates with deep learning techniques, a novel neural network, the tooth-deformable deep implicit network (T-DDIN), was constructed to achieve high-precision shape completion of tooth defects in a personalized manner.Methods:A total of 550 intraoral scan models were collected from patients treated at the Department of Orthodontics and Department of Prosthodontics, West China Hospital of Stomatology, Sichuan University (500 for training and 50 for testing), between March 2022 and March 2024. T-DDIN reconstructed defective tooth morphology using an implicit template and a latent encoding prediction network. During model evaluation, Class Ⅱ cavity defects and occlusal wear defects were simulated in the test set. Morphological restoration was performed using both traditional computer aided design (CAD) methods and the T-DDIN deep learning approach. The two methods were compared based on three-dimensional deviation, occlusal adjustment volumes, cusp angle deviation, and restoration time.Results:The T-DDIN group demonstrated significantly lower three-dimensional deviation for Class Ⅱ cavity defects and occlusal wear restoration [(0.14±0.05) and (0.16±0.09) mm], occlusal adjustment volumes [(0.44±0.03) and (0.49±0.03) mm 3], and difference value of the tooth cusp angles (5.69°±1.90° and 6.04°±0.53°) compared to the traditional CAD group (both P<0.001). No significant differences were observed within the T-DDIN group between the two defect types in terms of three-dimensional deviation ( P=0.098) or occlusal adjustment volume ( P=0.154) or difference value of the tooth cusp angles ( P=0.196). However, in the traditional CAD group, three-dimensional deviation, occlusal adjustment volume and difference value of the tooth cusp angles was significantly higher in occlusal wear restorations than in Class Ⅱ cavity defects restorations ( P<0.001). The T-DDIN group, which involved Class Ⅱ cavity defects and occlusal wear, demonstrated significantly less recovery time of morphology (37.2±7.7) and (39.4±6.2) s compared to the traditional CAD group ( P<0.001). Conclusions:T-DDIN demonstrated superior stability and accuracy in morphological reconstruction for various types of dental defects while significantly reducing restoration time.

Tumor budding is a distinct pathomorphological feature observed in various types of solid tumor. In recent years， tumor budding has been recognized as an important biological feature associated with tumor invasion and metastasis， and it has become a new focus in the research on tumor progression. Although studies have explored the role of tumor budding in different types of tumor， there are studies in the field of hepatocellular carcinoma （HCC）. This article systematically reviews the research advances in tumor budding in HCC， with a focus on the mechanism of tumor budding， the association between tumor budding and tumor progression， and the potential application of tumor budding in prognostic assessment， in order to provide new insights and strategies for the early diagnosis and treatment of HCC.

Objective:To explore the clinical efficacy of the splenic vessel-oriented anatomical plane priority strategy in Da Vinci robotic Kimura distal pancreatectomy.Methods:A retrospective analysis was conducted on 26 patients who underwent robotic-assisted distal pancreatectomy at Zhejiang Provincial People’s Hospital from January 2019 to September 2024. The cohort included 7 male and 19 female patients, aged (49.3±16.7) years. Surgical outcomes, including operative time, intraoperative blood loss, postoperative complications, and hospital stay, were analyzed, and surgical techniques were summarized.Results:All 26 patients successfully completed the surgery. Pathological diagnoses included 5 cases of intraductal papillary mucinous neoplasm, 5 serous cystadenomas, 1 pancreatic neuroendocrine tumor, 6 solid pseudopapillary neoplasms, 4 mucinous cystic neoplasms, and 5 neuroendocrine tumors. The maximum tumor diameter was (2.3±1.1) cm, and the operative time was (183.2±77.4) min. The spleen preservation rate was 100% (26/26). Intraoperative blood loss was 50.0 (17.5, 125) ml, and postoperative hospital stay was (10.1±3.7) d. No Clavien-Dindo grade III or higher complications occurred. The post-operative pancreatic fistula (POPF) rate was 53.8% (14/26), including 38.5% (10/26) biochemical leak and 15.3% (4/26) grade B POPF, with no grade C POPF.Conclusion:The splenic vessel-oriented anatomical plane priority strategy in robotic-assisted spleen-preserving distal pancreatectomy (Kimura technique) is safe and feasible, significantly improving the spleen preservation rate.

Background::An evidence gap still exists regarding the efficacy and safety of tegoprazan in patients with erosive esophagitis (EE) in China. This study aimed to verify the efficacy and safety of tegoprazan vs. esomeprazole in patients with EE in China. Methods::This study was a multicenter, randomized, double-blind, parallel, active-controlled, non-inferiority phase III trial of patients with EE randomized 1:1 to tegoprazan 50 mg/day vs. esomeprazole 40 mg/day. This study was conducted in 32 sites between October 24, 2018 and October 18, 2019. The primary endpoint was the cumulative endoscopic healing rate at week 8. The secondary endpoint included endoscopic healing rate at week 4, changes in the reflux disease questionnaire (RDQ) and gastroesophageal reflux disease health-related quality of life (GERD-HRQL) scores, and symptom improvement. Results::A total of 261 patients were randomized: 132 to the tegoprazan group and 129 to the esomeprazole group. The cumulative endoscopic healing rate at 8 weeks in the tegoprazan group was non-inferior to that of the esomeprazole group (91.1% vs. 92.8%, difference: -1.7%, 95% confidence interval [CI]: -8.5%, 5.0%, P = 0.008). There were no statistically significant differences in the changes in RDQ (total, severity, and frequency) and GERD-HRQL scores between the two groups (all P >0.05). The percentages of days without symptoms, including daytime and nighttime symptoms based on patients' diaries, were similar between the two groups (all P >0.05). In the tegoprazan and esomeprazole groups, 71.5% (93/130) and 61.7% (79/128) of the participants reported adverse events (AEs), 2.3% and 0 experienced serious AEs, while 70.0% and 60.2% had treatment-emergent AEs, respectively. Conclusion::Tegoprazan 50 mg/day demonstrated non-inferior efficacy in healing EE, symptom improvement, and quality of life, and it has similar tolerability compared with esomeprazole 40 mg/day.

BACKGROUND: Owing to the high prevalence of antibiotic resistance in Helicobacter pylori ( H. pylori ) in China, bismuth-containing quadruple therapies have been recommended for H. pylori eradication. This study compared the efficacy and safety of quadruple regimens containing vonoprazan vs . esomeprazole for H. pylori eradication in a patient population in China. METHODS: This was a phase 3, multicenter, randomized, double-blind study. Patients with confirmed H. pylori infection were randomized 1:1 to receive quadruple therapy for 14 days: amoxicillin 1000 mg and clarithromycin 500 mg after meals, bismuth potassium citrate 600 mg before meals, plus either vonoprazan 20 mg or esomeprazole 20 mg before meals, all twice daily. The primary outcome was the eradication rate of H. pylori , evaluated using a 13 C urea breath test at 4 weeks after treatment. The non-inferiority margin was at 10%. RESULTS: The study included 510 patients, 506 of whom completed the follow-up assessment. The primary analysis revealed eradication rates of 86.8% (210/242) and 86.7% (208/240) for vonoprazan and esomeprazole therapy, respectively (treatment difference: 0.1%; 95% confidence interval [CI]: -5.95, 6.17; non-inferiority P  = 0.0009). Per-protocol analysis showed eradication rates of 87.4% for vonoprazan and 86.3% for esomeprazole (treatment difference: 1.2%; 95% CI: -5.03, 7.36; non-inferiority P  = 0.0004). Vonoprazan and esomeprazole were well tolerated, with similar safety profiles. CONCLUSION: Vonoprazan was found to be well-tolerated and non-inferior to esomeprazole for eradicating H. pylori in patients from China. TRIAL REGISTRATION ClinicalTrials.gov , NCT04198363.
Humans ; Esomeprazole/therapeutic use* ; Double-Blind Method ; Helicobacter Infections/drug therapy* ; Male ; Female ; Middle Aged ; Helicobacter pylori/pathogenicity* ; Pyrroles/therapeutic use* ; Sulfonamides/therapeutic use* ; Adult ; Clarithromycin/therapeutic use* ; Amoxicillin/therapeutic use* ; Aged ; Anti-Bacterial Agents/therapeutic use* ; Pyrrolidines/therapeutic use* ; Drug Therapy, Combination ; Proton Pump Inhibitors/therapeutic use*

Objective:To integrate implicit templates with deep learning techniques, a novel neural network, the tooth-deformable deep implicit network (T-DDIN), was constructed to achieve high-precision shape completion of tooth defects in a personalized manner.Methods:A total of 550 intraoral scan models were collected from patients treated at the Department of Orthodontics and Department of Prosthodontics, West China Hospital of Stomatology, Sichuan University (500 for training and 50 for testing), between March 2022 and March 2024. T-DDIN reconstructed defective tooth morphology using an implicit template and a latent encoding prediction network. During model evaluation, Class Ⅱ cavity defects and occlusal wear defects were simulated in the test set. Morphological restoration was performed using both traditional computer aided design (CAD) methods and the T-DDIN deep learning approach. The two methods were compared based on three-dimensional deviation, occlusal adjustment volumes, cusp angle deviation, and restoration time.Results:The T-DDIN group demonstrated significantly lower three-dimensional deviation for Class Ⅱ cavity defects and occlusal wear restoration [(0.14±0.05) and (0.16±0.09) mm], occlusal adjustment volumes [(0.44±0.03) and (0.49±0.03) mm 3], and difference value of the tooth cusp angles (5.69°±1.90° and 6.04°±0.53°) compared to the traditional CAD group (both P<0.001). No significant differences were observed within the T-DDIN group between the two defect types in terms of three-dimensional deviation ( P=0.098) or occlusal adjustment volume ( P=0.154) or difference value of the tooth cusp angles ( P=0.196). However, in the traditional CAD group, three-dimensional deviation, occlusal adjustment volume and difference value of the tooth cusp angles was significantly higher in occlusal wear restorations than in Class Ⅱ cavity defects restorations ( P<0.001). The T-DDIN group, which involved Class Ⅱ cavity defects and occlusal wear, demonstrated significantly less recovery time of morphology (37.2±7.7) and (39.4±6.2) s compared to the traditional CAD group ( P<0.001). Conclusions:T-DDIN demonstrated superior stability and accuracy in morphological reconstruction for various types of dental defects while significantly reducing restoration time.