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No Microscope? No Problem: A Systematic Review of Microscope-Free Microsurgery Training Models.
Chen, Jonlin; Xun, Helen; Abousy, Mya; Long, Chao; Sacks, Justin M.
Afiliación
  • Chen J; Department of Plastic and Reconstructive Surgery, The Johns Hopkins School of Medicine, Baltimore, Maryland.
  • Xun H; Department of Plastic and Reconstructive Surgery, The Johns Hopkins School of Medicine, Baltimore, Maryland.
  • Abousy M; Department of Plastic and Reconstructive Surgery, The Johns Hopkins School of Medicine, Baltimore, Maryland.
  • Long C; Department of Plastic and Reconstructive Surgery, The Johns Hopkins School of Medicine, Baltimore, Maryland.
  • Sacks JM; Division of Plastic and Reconstructive Surgery, Washington University in St. Louis, St. Louis, Missouri.
J Reconstr Microsurg ; 38(2): 106-114, 2022 Feb.
Article en En | MEDLINE | ID: mdl-34425592
BACKGROUND: Benchtop microsurgical training models that use digital tools (smartphones, tablets, and virtual reality [VR]) for magnification are allowing trainees to practice without operating microscopes. This systematic review identifies existing microscope-free training models, compares models in their ability to enhance microsurgical skills, and presents a step-by-step protocol for surgeons seeking to assemble their own microsurgery training model. METHODS: We queried PubMed, Embase, and Web of Science databases through November 2020 for microsurgery training models and performed a systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We collected data including training model characteristics (cost, magnification, and components) and outcomes (trainee satisfaction, image resolution, and faster suturing speed). We also conducted a complimentary Google search to identify commercially available microscope-free microsurgical training models or kits not reported in peer-reviewed literature. RESULTS: Literature search identified 1,805 publications; 24 of these met inclusion criteria. Magnification tools most commonly included smartphones (n = 10), VR simulators (n = 4), and tablets (n = 3), with magnification ranging up to ×250 magnification on digital microscopy, ×50 on smartphones, and ×5 on tablets. Average cost of training models ranged from $13 (magnification lens) to $15,000 (augmented reality model). Model were formally assessed using workshops with trainees or attendings (n = 10), surveys to end-users (n = 5), and single-user training (n = 4); users-reported satisfaction with training models and demonstrated faster suturing speed and increased suturing quality with model training. Five commercially available microsurgery training models were identified through Google search. CONCLUSION: Benchtop microsurgery trainers using digital magnification successfully provide trainees with increased ease of microsurgery training. Low-cost yet high magnification setups using digital microscopes and smartphones are optimal for trainees to improve microsurgical skills. Our assembly protocol, "1, 2, 3, Microsurgery," provides instructions for training model set up to fit the unique needs of any microsurgery trainee.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cirujanos / Realidad Aumentada Tipo de estudio: Guideline / Prognostic_studies / Qualitative_research / Systematic_reviews Límite: Humans Idioma: En Revista: J Reconstr Microsurg Asunto de la revista: NEUROCIRURGIA Año: 2022 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cirujanos / Realidad Aumentada Tipo de estudio: Guideline / Prognostic_studies / Qualitative_research / Systematic_reviews Límite: Humans Idioma: En Revista: J Reconstr Microsurg Asunto de la revista: NEUROCIRURGIA Año: 2022 Tipo del documento: Article Pais de publicación: Estados Unidos