Results 201 to 210 of about 381,720 (243)

Impact of Renin‐Angiotensin System Inhibitors on Renal Function During Temporary Ileostomy Period in Rectal Cancer Patients: A Retrospective Cohort Study

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This retrospective study explored the potential impact of renin–angiotensin system inhibitors (RASIs) on renal function during the ileostomy period in patients undergoing rectal cancer surgery. RASI use was associated with early postoperative renal impairment, and relatively slow recovery of renal function was observed until stoma closure.
Yusaku Shogen   +6 more
wiley   +1 more source

Safety and Feasibility of Laparoscopic and Endoscopic Cooperative Surgery With Endoscopic Submucosal Dissection for Large Superficial Non‐Ampullary Duodenal Epithelial Tumors

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background and Aims Endoscopic submucosal dissection (ESD) for large superficial non‐ampullary duodenal epithelial tumors (SNADETs) poses substantial technical challenges, primarily because of a heightened risk of adverse events (AEs). Laparoscopic and endoscopic cooperative surgery (D‐LECS) was introduced to address these risks, with recent ...
Masaru Hayami   +9 more
wiley   +1 more source

First Successful Regeneration of a Structurally Native‐Like Colon Using a Bioabsorbable Polymer Sheet

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This study demonstrated that a bioabsorbable polymer sheet (BAPS) can regenerate approximately half the circumference of the colon with native‐like structure and function in an experimental setting. As the model involved immediate closure after perforation and did not reproduce peritonitis, caution is required when considering clinical applicability ...
Junpei Takashima   +4 more
wiley   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi   +5 more
wiley   +1 more source

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