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2nd Edition of International Conference on Gastroenterology

September 24-26, 2026, London,UK

September 24 -26, 2026 | London, UK
Gastro 2026

Utilizing a 3D-printed laparoscopic Nissen fundoplication model to shorten a resident's learning curve

Speaker at Gastroenterology Conferences - Muhammad Osama Wali Zada
Hangzhou Medical College, China
Title : Utilizing a 3D-printed laparoscopic Nissen fundoplication model to shorten a resident's learning curve

Abstract:

Laparoscopic Nissen fundoplication (LNF) requires extensive training for surgical proficiency, with significant early learning curve complications. A structured training protocol utilizing a 3D-printed anatomical model is described and designed to accelerate the acquisition of advanced laparoscopic skills. The protocol entails the production and assembly of models incorporated into an LNF-specific training curriculum focused on critical components involving advanced suturing skills. The model includes anatomically accurate landmarks, all fabricated using specialized silicone materials. A step-by-step training curriculum is presented, focused on mastering the most challenging components of LNF, including crural closure, mesh suturing, and the fundoplication wrap. Representative results from a pilot participant demonstrate a quantifiable learning curve, with total performance scores improving from 21 to 42 and procedural time decreasing from 95 to 34 min across six sessions, systematically approaching the expert benchmark. The overall efficacy of this training paradigm was validated in a comparative study, where the 3D-printed model trained group demonstrated significantly superior Objective Structured Assessment of Technical Skills (OSATS) scores in the operating room (26.25 ± 1.67 vs. 17.50 ± 2.07) and shorter procedure durations (76.25 ± 2.49 vs. 110.13 ± 3.36 min) compared to a control group, confirming the protocol's positive impact on clinical skills. This validated protocol provides a reproducible method for implementing an effective LNF training program capable of measuring and facilitating progressive skill development.

Biography:

Muhammad Osama Wali Zada is a Master's student in Basic Medicine at Hangzhou Medical College, China. He obtained his MBBS degree in China and is actively involved in clinical and translational research in collaboration with Zhejiang Provincial People's Hospital. His research interests include gastrointestinal surgery, surgical education, simulation-based training, artificial intelligence in medicine, and gastroesophageal reflux disease (GERD). He has contributed to research on 3D-printed laparoscopic training models and is committed to advancing surgical education through innovative technologies.

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