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Best Papers in General Surgery
The five that matter, every day.
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…
A newly developed deep learning auto-segmentation model effectively segments pancreatic cancer and surrounding structures to assist surgical planning. In a study involving 275 patients, the model achieved a Dice similarity coefficient of 75.4 in internal and 75.6 in external validation. High segmentation accuracy was noted…
Enhanced recovery outcomes for colorectal cancer patients with type 2 diabetes markedly improved through continuous glucose monitoring (CGM). A study involving 181 patients revealed that those under CGM showed lower mean daily glucose levels (9.52 mmol/L) compared to conventional glucose monitoring (10.37 mmol/L) on postoperative…
Endoscopic management has emerged as a key strategy for treating biliary leakages resulting from surgery or trauma. Researchers emphasize the importance of accurately classifying leaks to choose appropriate treatments, which range from conservative care to surgical intervention. Notably, endoscopic techniques, especially endoscopic retrograde cholangiopancreatography with…
A meta-analysis of 25 studies involving 6,877 patients showed that indocyanine green (ICG) fluorescence angiography significantly reduced the rates of anastomotic leakage, symptomatic leakage, total postoperative complications, and the need for reoperation. Additionally, ICG use led to shorter postoperative hospital stays compared to traditional methods,…
A new study introduces SmartCoach, an AI-assisted program designed to enhance surgical coaching for laparoscopic pancreatoduodenectomy. By automating video analysis and facilitating real-time assessments, this approach aims to overcome barriers such as limited expert feedback and the labor-intensive nature of traditional coaching. Preliminary data highlighted…
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…
Findings indicate that serum homocysteine levels serve as reliable predictors of irreversible transmural intestinal necrosis in patients with adhesive small bowel obstruction. Among 221 patients studied, those requiring surgical intervention exhibited markedly higher homocysteine, endotoxin, IL-5, IL-6, hs-CRP, IL-1β, and PCT levels. Notably, homocysteine demonstrated…
Findings indicate that AI-driven imaging models significantly improve the detection of pancreatic ductal adenocarcinoma (PDA) through advanced radiomics and deep learning techniques. These models can identify subtle pre-diagnostic signs on CT scans months to years before clinical symptoms arise, addressing current limitations in sensitivity and…
A novel framework, the Flush Model, addresses mental fatigue's impact on surgeons' cognitive performance and patient safety. By likening mental fatigue to a water tank, it identifies key components such as fatigue accumulation and recovery rates. The model proposes practical recovery strategies, including mindfulness, microbreaks,…
