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7th Edition of Global Conference on Surgery and Anaesthesia

September 24-26, 2026 | Hybrid Event

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

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

Muhammad Osama Wali Zada, Speaker at Anaesthesia Conferences
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 trainingprotocol 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 trainingcurriculum 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, meshsuturing, and the fundoplication wrap. Representative results from a pilot participant demonstrate a quantifiable learning curve, with total performance scores improvingfrom 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 trainingparadigm 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 toa control group, confirming the protocol's positive impact on clinical skills. This validated protocol provides a reproducible method for implementing an effective LNFtraining program capable of measuring and facilitating progressive skill development

Biography:

Muhammad Osama Wali Zada completed his bachelor degree MBBS from China and currently he doing his Master’s degree in Basic Medicine at Hangzhou Medical College. his academic and clinical interests focus on gastrointestinal surgery, gastroesophageal reflux disease (GERD), and medical simulation-based education. his actively involved in surgical training research, particularly in the development and application of 3D-printed anatomical models to improve laparoscopic skill acquisition. his recent work includes a study on a 3D-printed laparoscopic Nissen fundoplication model designed to shorten the learning curve for surgical trainees. his interested in integrating medical education, surgical innovation, and data-driven approaches to enhance training efficiency and patient outcomes.

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