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ORIGINAL RESEARCH article

Front. Surg.
Sec. Reconstructive and Plastic Surgery
Volume 11 - 2024 | doi: 10.3389/fsurg.2024.1453135
This article is part of the Research Topic Personalized Surgery of the Face View all 6 articles

Evaluating Robotic Assistance on the Learning Curve and Efficiency of Mandibular Angle Ostectomy: An Animal Model Study

Provisionally accepted
  • Shanghai Ninth People’s Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, Shanghai Municipality, China

The final, formatted version of the article will be published soon.

    This study evaluated the efficacy and learning curve of a maxillofacial surgical robotic system (MSRS) guided by electromagnetic navigation for mandibular angle ostectomy (MAO), compared to traditional surgical methods. The study utilized a controlled experiment involving thirty rabbits, paired divided into experimental and control groups. The experimental group underwent MAO using the MSRS, while the control group was treated with conventional surgical techniques. The surgeons performing the procedures were inexperienced in robotic surgery and MAO to assess the learning curve and the impact of robotic assistance. Key parameters measured included the accuracy of ostectomy, setup time, and ostectomy efficiency, with data analyzed through a paired-t test to compare the performance between the two groups. Results indicated a significant reduction in ostectomy time for the experimental group, with improved accuracy and efficiency in ostectomy. The study found that robotic assistance could decrease the risk of complications and enhance surgical outcomes. It also highlighted the presence of an initial learning curve when adopting new robotic technologies, which could be mitigated through adequate training and simulation practices. The study concluded that using MSRS for MAO could lead to faster early learning curves and increased ostectomy efficiency compared to traditional surgical methods. It demonstrated the potential benefits of integrating robotic systems into craniofacial surgery, suggesting a promising direction for future surgical practices.

    Keywords: Learning Curve, maxillofacial surgical robot system, Mandibular angle ostectomy, Electromagnetic navigation, ostectomy accuracy

    Received: 22 Jun 2024; Accepted: 04 Oct 2024.

    Copyright: © 2024 Han, Yan, Sun, Zhang, Lin, Zhang and Chai. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Gang Chai, Shanghai Ninth People’s Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200011, Shanghai Municipality, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.