Newsletter
Best Papers in General Surgery
The five that matter, every day.
A study explored advanced convolutional neural networks (CNNs) to improve post-surgical wound care in anorectal diseases. The researchers assessed three architectures—MobileNet, ResNet50, and Inception-v4—focusing on wound characteristics such as size and severity. Results revealed that Inception-v4 surpassed its counterparts in accuracy, precision, and recall, demonstrating…
Telemedicine has emerged as a transformative force in African surgical care, particularly in areas with scarce access to quality treatment. Despite challenges such as infrastructure deficits and personnel training, the implementation of telemedicine has demonstrated favorable outcomes. Increased adoption is evident in postsurgical care and…
A network meta-analysis of seven randomized controlled trials involving 1,336 patients revealed that laparoscopic pancreatoduodenectomy (LPD) offers shorter hospital stays and reduced intraoperative blood loss compared to open pancreatoduodenectomy (OPD). However, LPD was associated with longer operative durations. In contrast, robotic pancreatoduodenectomy (RPD) showed no…
Nomograms developed from a multi-institutional study accurately forecast overall survival and recurrence for treatment-naïve rectal cancer patients post-surgery. Age predicted survival while venous invasion indicated recurrence. The model demonstrated strong discrimination, with Harrell's c-index values of 0.77 for survival and 0.75 for recurrence in the…
In a study analyzing data from 724 patients undergoing biliary anastomosis, researchers reported a 5.6% bile leak rate in distal malignant obstruction cases, while the rate increased to 14.6% in proximal malignant cases. Mortality varied significantly between anastomotic failure (26%) and no failure (2.6%). Advanced…
This proof-of-concept study reveals that machine learning models can predict appendicitis in patients with acute abdominal pain more accurately than traditional methods. With AUROCs of 0.919 and 0.923 when including laboratory test results, the models outperformed the Alvarado scoring system (AUROC of 0.824) and matched…
A study evaluating the muscle mass-to-fat ratio (mmfr) in pancreatic cancer patients revealed significant prognostic implications. Among 191 patients undergoing pancreaticoduodenectomy, those in the low-mmfr group faced shorter overall survival and higher incidences of postoperative pancreatic fistula compared to their high-mmfr counterparts. The optimal mmfr…
Findings indicate that incorporating anterior gastropexy during minimally invasive paraesophageal hernia repair significantly lowers the 1-year recurrence rate. In a clinical trial involving 240 participants, the recurrence rate was 15% for those receiving anterior gastropexy compared to 36% for those without it, indicating a notable…
A deep learning model (DLRMLP) integrating clinical factors outperformed traditional methods in predicting early recurrence of locally advanced gastric cancer (LAGC) post-gastrectomy. In a study involving 620 patients, DLRMLP achieved an AUC of 0.891 compared to 0.797 with conventional models. This model effectively stratified early…
Analysis of 425 patients in Japan demonstrates that robotic pancreaticoduodenectomy (RPD) can be safely introduced, achieving a low conversion rate to open surgery (3.8%) and high minimally invasive surgery completion rate (91.1%). The median operative time was 617 minutes, with a median blood loss of…
