Newsletter
Best Papers in General Surgery
The five that matter, every day.
A study reveals that minimally invasive esophagectomy (MIE) and robotic-assisted minimally invasive esophagectomy (RAMIE) significantly reduce postoperative pain and pulmonary infections compared to traditional surgery. Both techniques, requiring specialized training, demonstrate improved short-term outcomes and comparable oncological results to open esophagectomy. The robotic-assisted approach offers…
Findings indicate that integrating digital PCR-based ctDNA monitoring into postoperative colorectal cancer surveillance could significantly extend CT scan intervals. Analysis of 52 patients showed that traditional monitoring led to potential delays in clinical relapse detection. In contrast, ctDNA monitoring provided a median lead time of…
A novel machine learning algorithm based on long short-term memory neural networks successfully estimates mechanical tension in ex vivo porcine colons, achieving 88% accuracy and strong correlations in force measurement. This innovative approach provides a significant advance over traditional subjective tension assessment during robotic surgery,…
A systematic review of artificial intelligence (AI) applications in laparoscopic cholecystectomy reveals promising results. Analysis of 25 studies shows an average precision of 98% in identifying biliary structures, with the AI system altering annotations in 27% of cases. Notably, 70% of these adjustments were deemed…
The prospective multicenter trial demonstrated a 91.7% complete ablation rate for hepatocellular carcinoma (HCC) near critical structures, with a technical success rate of 99.5%. Smaller tumors (
Artificial intelligence has the potential to significantly improve hernia surgery by enhancing surgical risk assessment and outcomes. The review highlights advancements from machine learning, natural language processing, computer vision, and robotics over the past two decades. Machine learning aids in prediction model development, while natural…
A new classification for hepatocellular carcinoma enhances predictive accuracy for overall survival. In a study involving 1,766 patients, incorporating the tumor burden score (TBS) allowed reclassification into distinct categories, revealing improved five-year survival rates: the TBS-br model yielded rates of 70.8%, 58.3%, and 40.0% compared…
In a first-in-human trial, SmartPAN hydrogel proved safe and easy to use for visualizing intraoperative pancreatic leakage during partial resections. Out of 29 patients receiving SmartPAN, 10 demonstrated positive leakage responses, with postoperative pancreatic fistula (POPF) occurring in 7 patients. Surgeons rated the device highly…
Multiservice machine learning models were developed to predict postsurgical length of stay (LOS) and discharge disposition at the time of case posting. An analysis of 63,574 patients showed the LOS model achieved an area under the curve (AUC) of 0.81. Incorporating relative value units and…
Oligometastatic patients with esophageal, gastro-esophageal junction, and gastric cancers experience improved outcomes with aggressive multimodal therapies. Research indicates that combining systemic therapy with surgical resection of primary tumors and metastases enhances prognosis. Notably, patients with oligometastatic cancer at the esophago-gastric junction showed potential for curative…
