e-space
Manchester Metropolitan University's Research Repository

    Quantitative metrics for evaluating surgical dexterity using virtual reality simulations

    Wu, Mingyu ORCID logoORCID: https://orcid.org/0009-0005-7798-5316, Kit, Cham Ying, Su, Eileen Lee Ming ORCID logoORCID: https://orcid.org/0000-0001-9366-5404, Yeong, Che Fai, Ahmmad, Siti Nor Zawani, Holderbaum, William ORCID logoORCID: https://orcid.org/0000-0002-1677-9624 and Yang, Chenguang (2025) Quantitative metrics for evaluating surgical dexterity using virtual reality simulations. PLoS ONE, 20 (3). e0318660. ISSN 1932-6203

    [img]
    Preview
    Published Version
    Available under License Creative Commons Attribution.

    Download (5MB) | Preview

    Abstract

    This study develops and evaluates quantitative metrics to assess surgical dexterity within virtual reality (VR) simulations to enhance surgical training and performance. By employing advanced VR technology, this research systematically investigates the influence of controlled experimental factors—posture, handedness, and visual magnification—on surgical performance. The impact of human factors such as surgical specialty, experience, and lifestyle factors like sleep and caffeine consumption on surgical dexterity is also analyzed. The findings reveal that seated posture, dominant hand usage, and enhanced visual magnification significantly improve surgical precision and efficiency. Contrary to common beliefs, lifestyle factors such as sleep duration and coffee consumption showed minimal impact on performance metrics. The study highlights the potential of VR simulations to provide a controlled, replicable, and safe environment for surgical training, emphasizing the importance of personalized training protocols that cater to individual surgeon’s needs. The insights from this research advocate for integrating quantitative, objective metrics in surgical training programs to refine and accelerate dexterity acquisition, ultimately aiming to improve patient outcomes and surgical care.

    Impact and Reach

    Statistics

    Activity Overview
    6 month trend
    1Download
    6 month trend
    12Hits

    Additional statistics for this dataset are available via IRStats2.

    Altmetric

    Repository staff only

    Edit record Edit record