Results 221 to 230 of about 434,406 (341)

Prospective Feasibility Study of Laparoscopic and Robotic Distal Gastrectomy for Advanced Gastric Cancer to Verify the Safety of Surgical Proximal Margins

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
ABSTRACT Ensuring an adequate surgical proximal margin (SPM) is crucial in radical gastrectomy for gastric cancer. However, the lack of tactile feedback in laparoscopic distal gastrectomy (LDG) and robotic distal gastrectomy (RDG) poses challenges in precisely determining tumor boundaries, particularly in advanced gastric cancer, where tumor ...
Rie Makuuchi   +9 more
wiley   +1 more source

Early prediction of postoperative infection using inflammatory markers after cytoreductive surgery for peritoneal carcinomatosis. [PDF]

open access: yesWorld J Gastrointest Surg
Fernández-Candela A   +9 more
europepmc   +1 more source

Human intestinal and multivisceral transplantation [PDF]

open access: yes, 1994
Abu-Elmagd, K   +8 more
core  

The value of intraoperative point-of-care urinalysis to predict positive urine cultures and symptomatic postoperative infections during cystoscopic procedures for pediatric patients

open access: diamond
Kay Chua Rivera   +13 more
openalex   +2 more sources

Serum Bile Acids Are Useful Indicators of Intrahepatic Recurrence After Initial Curative Hepatectomy for Hepatocellular Carcinoma

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
ABSTRACT Aim Bile acids accumulation in hepatocytes causes liver damage and contributes to the development of hepatocellular carcinoma. However, the association between serum bile acid levels and postoperative intrahepatic recurrence in hepatocellular carcinoma remains unclear.
Tomoaki Bekki   +9 more
wiley   +1 more source

A Bio-Adaptive Janus-Adhesive Dressing with Dynamic Lubrication Overlayer for Prevention of Postoperative Infection and Adhesion. [PDF]

open access: yesAdv Sci (Weinh)
Gao Y   +14 more
europepmc   +1 more source

Which Method Best Predicts Postoperative Complications: Deep Learning, Machine Learning, or Conventional Logistic Regression?

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Deep learning has shown promise in predicting postoperative complications, particularly when using image or time‐series data. However, on tabular clinical data such as the NCD, it often underperforms compared to conventional machine learning. Integrating multimodal data may enhance predictive accuracy and interpretability in surgical care.
Ryosuke Fukuyo   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy