Evidence map›Paper›PMID 42549367›Full record

ArticlePlastic and reconstructive surgery. Global open2026

A Novel Mixed-reality Simulator for Training Metacarpal Fracture Reduction and Kirschner Wire Fixation.

Akhil Nair, Rebecca Xu, Mark Shafarenko, Trinette Wright, Stephanie Williams, Jimmy Qiu, Daniel Lin, Stefan O P Hofer, Joseph Catapano, Blake Murphy

Abstract read
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Article in Plastic and reconstructive surgery. Global open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Akhil NairFrom the Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Rebecca XuFrom the Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Mark ShafarenkoDivision of Plastic and Reconstructive Surgery, University of Toronto, Toronto, Ontario, Canada.
Trinette WrightTechna, University Health Network, Toronto, Canada.
Stephanie WilliamsTechna, University Health Network, Toronto, Canada.
Jimmy QiuTechna, University Health Network, Toronto, Canada.
Daniel LinTechna, University Health Network, Toronto, Canada.
Stefan O P HoferFrom the Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Joseph CatapanoFrom the Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Blake MurphyFrom the Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metacarpal fracture reduction and Kirschner wire (K-wire) fixation are core competencies in hand surgery that are difficult to master. Surgical simulation using extended reality technologies has improved intraoperative performance among trainees in various surgical subspecialties. Methods: Imaging data from an uninjured patient were used as a reference to construct a 3D-printed hand. Wire channels and electromagnetic sensors were added to aid real-time tracking. Fracture bridges allowed introduction of fractures after single-piece printing, and the hand model was cast in silicone to reproduce surface anatomy. A scanned model of a K-wire driver was 3D-printed with movable parts, and an application was designed to track the positioning of the hand model, fracture sites, and the driver. Ten plastic surgeons and 8 residents evaluated the hand model simulator based on realism, representational accuracy, and training utility using a 5-point Likert scale for validation. Results: Printing accuracy showed a 3D printing error in Hausdorff distance below 0.13 mm. The target registration error for the fractures was below 1 mm. Qualitative evaluations of anatomical accuracy, clinical comparability, reduction realism of fractures, and the perceived value of simulator training each achieved a median score of 5. Percutaneous entry point selection, K-wire placement, fluoroscopy replicability, and training realism received a median score of 4. Overall, all plastic surgeons and residents unanimously recommended the simulator as an effective training tool. Conclusions: We introduce a validated mixed reality-integrated hand model simulator developed for training plastic surgery residents in metacarpal fracture reduction and fixation.

Identifiers

PMID42549367
PMCPMC13433070

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.