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Related Experiment Video

Updated: Oct 14, 2025

Step By Step: Microsurgical training method combining two nonliving animal models
05:25

Step By Step: Microsurgical training method combining two nonliving animal models

Published on: May 9, 2015

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Mastering microsurgery: A novel benchmarking tool for microsurgical training.

Eunsol Kim1, Shreya Chawla2, Ali Ghanem1

  • 1Centre for Cutaneous Research, Blizard Institute of Cell and Molecular Science, London, UK.

Journal of Plastic, Reconstructive & Aesthetic Surgery : JPRAS
|November 10, 2021
PubMed
Summary
This summary is machine-generated.

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This study developed a novel platform for objective assessment of microsurgical skills, providing feedback to trainees. The tool tracks skill acquisition, enabling targeted training to improve surgical competency and patient outcomes.

Area of Science:

  • Medical Education
  • Surgical Skills Assessment
  • Microsurgery Training

Background:

  • The shift towards competency-based surgical training necessitates objective skill assessment.
  • Traditional apprenticeship models lack standardized evaluation methods for microsurgery.
  • Mastery in microsurgery requires reliable and quantifiable feedback mechanisms.

Purpose of the Study:

  • To develop a novel platform for objective assessment of microsurgical skills.
  • To provide feedback to surgical trainees based on expected competency levels.
  • To create a tool for tracking microsurgical skill acquisition and performance.

Main Methods:

  • A 5-day simulated microsurgery course involved 118 participants (2013-2016).
  • Video recordings of micro-anastomoses and hand motion analysis were collected on days 1, 3, and 5.
Keywords:
AssessmentGlobal rating scaleMicrosurgerySimulationSurgical training

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  • The Queen Mary University of London Global Rating Scale (QMUL GRS) and hand movement counts were used to create skills acquisition charts analogous to growth charts.

    • Main Results:

    • Microsurgical skill, measured by QMUL GRS, significantly improved with cumulative experience.
    • For trainees with 0 prior micro-anastomoses, QMUL GRS scores ranged from 45.5 to 62.
    • With 55-100 prior micro-anastomoses, QMUL GRS scores increased to 89.5-93, accompanied by a decrease in hand movements.

    Conclusions:

    • The developed tool enables trainees to benchmark their microsurgical skills against peers.
    • Objective tracking of skill acquisition allows for targeted training interventions for lower-performing trainees.
    • This approach has the potential to enhance surgical competency and improve patient clinical outcomes.