Microsurgery Training: Are the Live Models Era Coming in to the Tail? – A Literature Review
Journal of Advances in Medicine and Medical Research · pp. 97–109 · Published 22 Feb 2021
10.9734/jammr/2021/v33i230812Abstract
Introduction: Microsurgery is a relatively new speciality with steep learning patterns. Before practice in real fields surgeons need adequate training to gain the expertise. Different types of living and non-living simulators are used to gain the efficiency. As the living simulator has issues with complexity, availability, cost, ethical approval and special setting and available resources an alternative less complex, inexpensive, no ethical issues, easily available, effective non-living models are demanded by the trainers. Objective: Review the relevant articles to see the justification of use of live models for microsurgery training and to see is there any alternative non-living model to replace living model. Materials and Methods: A PubMed and Google Scholar search for key words ‘(microsurgery) AND (training)) AND (live models)) AND (non-living models)) AND (education)’ were performed in February 2021. Total 422 literatures were found from January 1990 to February 2021. Among them 29 were found relevant with topics. Among them 17 were finally selected for discussion. Conclusion: Evidences showed non-living low fidelity models are as effective as high fidelity living model in microsurgery training. Many of the studies with ex vivo models have showed promising results which support replacement of live models in basic and intermediate courses. However, those are not sufficient to support for total ban of live models specially in advance microsurgery courses. We are hoping, in near future some blended non-living models may come up using digital or virtual reality technology which can replace the live model era. Further research with highest level of evidences are required.
Cited by 5
Carolina Chaves, Leonor Caixeiro, Filipa Poleri · Cureus · 2026
Carlos Salvador Ovalle Torres, Alfredo Espinosa Mora, Alvaro Campero · Surgical Neurology International · 2023
Nan Xiang, Hai-Ning Liang, Lingyun Yu · The Visual Computer · 2023
David O'Regan · 2025
Showing 4 of 5 known citations — external sources report more than can currently be individually listed.
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