Insufflatable Modular Abdominal Simulation Environment (MASE) for Surgical Training Simulation.

Background/NeedLaparoscopic abdominal surgery requires navigating unique technical challenges with precision, dexterity, and a thorough understanding of anatomy. There is a need for higher-fidelity training models to assist in improving trainee competence. This manuscript introduces a novel modular abdominal simulation environment (MASE) with the ability to insufflate under standard parameters to accommodate laparoscopic and robotic surgery training and assessment.Methodology and Device DescriptionCT scans of a deidentified patient pelvis and spine are processed, reconstructed, and modified into 3D printable files, then printed using a high-fidelity resin printer. Silicone skin is developed to cover the MASE and mechanically fixed to create an air-tight seal. Insufflation capability is tested by measuring the pre- and post-insufflation height of the model, as well as internal pressure.Preliminary ResultsMASE meets the following criteria: anatomical accuracy, scale-to-life, and re-usability. Its ability to be insufflated via a Veress needle at Palmer's point recreates a pneumoperitoneum (increasing in height by 108%), allowing for effective port placement and clear visualization with a laparoscope. The platform successfully supports fundamentals of laparoscopic surgery (FLS) tasks including intracorporeal knot tying and peg transfer both with laparoscopic tools and robotic system.Current StatusCurrent work includes a more efficient locking mechanism, incorporation of the retroperitoneal space, and addition of synthetic/explant organs for high-fidelity abdominal simulation. MASE combines high anatomical fidelity, realistic tissue simulation, and procedural versatility with reproducibility. Future testing includes stiffness characterization of the silicone skin and validation for surgical resident training.

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Publication Details

Journal
PubMed
Published
2026-05-08
DOI
https://doi.org/10.1177/15533506261451391
Primary Topic
Surgical Simulation and Training
Type
article
Field-Weighted Citation Impact
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article

Insufflatable Modular Abdominal Simulation Environment (MASE) for Surgical Training Simulation.

Sabino Zani, Tanner J. Zachem, Danyi Chen, Brian P. Mann et al.
PubMed
Surgical Simulation and Training
article

Insufflatable Modular Abdominal Simulation Environment (MASE) for Surgical Training Simulation.

Sabino Zani, Tanner J. Zachem, Danyi Chen, Brian P. Mann, Kent K. Yamamoto, Layla Triplett, Cameron Reid, Katharine L Jackson, Shannon Barter, Olufemi Oladokun
article en

Abstract

Background/NeedLaparoscopic abdominal surgery requires navigating unique technical challenges with precision, dexterity, and a thorough understanding of anatomy. There is a need for higher-fidelity training models to assist in improving trainee competence. This manuscript introduces a novel modular abdominal simulation environment (MASE) with the ability to insufflate under standard parameters to accommodate laparoscopic and robotic surgery training and assessment.Methodology and Device DescriptionCT scans of a deidentified patient pelvis and spine are processed, reconstructed, and modified into 3D printable files, then printed using a high-fidelity resin printer. Silicone skin is developed to cover the MASE and mechanically fixed to create an air-tight seal. Insufflation capability is tested by measuring the pre- and post-insufflation height of the model, as well as internal pressure.Preliminary ResultsMASE meets the following criteria: anatomical accuracy, scale-to-life, and re-usability. Its ability to be insufflated via a Veress needle at Palmer's point recreates a pneumoperitoneum (increasing in height by 108%), allowing for effective port placement and clear visualization with a laparoscope. The platform successfully supports fundamentals of laparoscopic surgery (FLS) tasks including intracorporeal knot tying and peg transfer both with laparoscopic tools and robotic system.Current StatusCurrent work includes a more efficient locking mechanism, incorporation of the retroperitoneal space, and addition of synthetic/explant organs for high-fidelity abdominal simulation. MASE combines high anatomical fidelity, realistic tissue simulation, and procedural versatility with reproducibility. Future testing includes stiffness characterization of the silicone skin and validation for surgical resident training.

PubMed
Duke University (US)
Openalex Percentile: Top 5%
Surgical Simulation and Training
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