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Dataset Information

A novel model of dual-network composite hydrogels for application in endoscopic submucosal dissection.


ABSTRACT:

Background and aims

Endoscopic submucosal dissection (ESD) is a critical technique for treating early-stage gastrointestinal tumors, requiring precise operational skills. Traditional training methods, however, face challenges such as high costs, ethical concerns, and sustainability issues. This study aims to design a novel training model based on dual-network composite hydrogel (DNH) (Jing, et al, Polymers 11:952,2019) to simulate the multilayered structure of gastric tissue, providing a more realistic and effective training environment.

Methods

A new DNH model was developed to simulate gastric tissue's structure and biomechanics. The effectiveness of the model in ESD training was evaluated through structured assessments with participants of different experience levels. Phys

SUBMITTER: Zhao F 

PROVIDER: S-EPMC12581254 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature