A study involving 198 postoperative gastric cancer patients reveals a structured psychological and sleep enhancement program significantly reduces anxiety, depression, and perceived stress while improving sleep quality. After three months, immune function and inflammatory markers also showed notable improvements. Patients in the intervention group experienced better disease-free survival rates (81.2% vs. 68.5%) and overall survival […]
Category: Upper Gastrointestinal Tract
Novel surgical technique preserves ghrelin secretion in gastric cancer
A new surgical approach, super subtotal gastrectomy (SSTG), effectively preserves the fornix, a vital site for ghrelin secretion, in patients with upper-third gastric cancer. This innovative technique minimizes the typical impacts on appetite and weight loss associated with traditional proximal gastrectomy or total gastrectomy. In the SSTG group, procedures averaged 333 minutes with minimal blood […]
Hydrogels may reduce esophageal stricture risk post-ESD.
Innovative hydrogel interventions show promise in significantly reducing stricture rates following endoscopic submucosal dissection for early esophageal cancer. Current methods have limited effectiveness and safety concerns, but hydrogels offer biocompatibility and enhanced therapeutic delivery. They promote epithelial regeneration and reduce fibrosis, potentially improving long-term outcomes. This review highlights the transformative potential of hydrogels in clinical […]
Conversion surgery enhances survival in advanced gastric cancer patients
In a multicenter study of 232 patients with stage IV HER2-positive gastric cancer, conversion surgery following trastuzumab-based chemotherapy and immunotherapy yielded significantly improved outcomes. Patients who underwent the procedure experienced median progression-free survival of 37.7 months and overall survival of 50.9 months. In contrast, those who did not have surgery had progression-free survival of 10.8 […]
AI Enhances Real-Time Detection of Nerve Traction During Surgery
A novel AI system demonstrated effectiveness in real-time detection of excessive traction on the recurrent laryngeal nerve during robotic-assisted esophagectomy. In a pilot study, the AI accurately identified potential nerve damage in 84.4% of surgical scenes, providing crucial feedback earlier than conventional monitoring methods. This proactive approach could facilitate timely adjustments in surgical technique, helping […]
Advanced machine learning outperform traditional models in gastric cancer prognosis
A new machine learning framework combined with a nomogram has been developed to predict recurrence after radical gastrectomy in patients with non-metastatic gastric cancer and “double invasion.” Among the 559 patients studied, the random survival forests model achieved the highest c-index of 0.791, outperforming other machine learning approaches. This hybrid model effectively integrates multiple variables […]
AI Model Matches Senior Endoscopists in Esophageal Cancer Treatment
An artificial intelligence model developed for marking detection and incision guidance during esophageal endoscopic submucosal dissection (ESD) demonstrated promising performance. Compared to junior endoscopists, the AI achieved a notable accuracy of 63.21%, precision rates of up to 85.76%, and an average distance error of 0.096, significantly outperforming junior practitioners while matching senior endoscopists. These results […]
Immunotherapy-based regimens show promise in gastric cancer treatment
A meta-analysis of high-quality trials shows immunotherapy-based neoadjuvant regimens, particularly combining immunotherapy with chemotherapy and targeted therapy, significantly improve pathological complete response (PCR) rates and overall survival in locally advanced gastric cancer. The neoadjuvant immunotherapy plus chemotherapy (NICT) and NICT plus targeted therapy (NICTT) groups outperformed traditional chemotherapy, although the NICTT group faced increased severe […]
AI-assisted system effectively aids esophageal lesion resections
The implementation of an artificial intelligence (AI) lesion-labeling system significantly improved the complete resection rate during endoscopic submucosal dissection (ESD) in low-volume centers. In a study involving 174 patients, 90% achieved negative lateral margins, while the en bloc resection rate stood at 98.5%. Comparatively, no significant difference was found in the lateral resection rates between […]
New staging system enhances prognosis accuracy for gastric cancer
A novel prognostic staging system developed from residual tumor burden significantly outperforms the AJCC’s YpTNM staging in predicting overall survival (OS) and recurrence-free survival (RFS) in patients with locally advanced gastric cancer post-neoadjuvant chemotherapy. The study analyzed data from 537 patients, finding that factors like lymph node stage and carcinoembryonic antigen levels were robust indicators […]