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New technologies for the classification of proximal humeral fractures: Comparison between Virtual Reality and 3D printed models—a randomised controlled trial
Department of Orthopaedic Surgery and Traumatology, Hospital de Antequera, Malaga, Spain ; School of Medicine, Universidad de Málaga, Spain.
Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningsmiljön Virtuell produkt- och produktionsutveckling. (User Centered Product Design)
Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningsmiljön Informationsteknologi. Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningsmiljön Virtuell produkt- och produktionsutveckling. (Interaction Lab (iLab))ORCID-id: 0000-0003-2254-1396
Department of Orthopaedic Surgery and Traumatology, Hospital Universitario Virgen de la Victoria, Málaga, Spain.
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2023 (engelsk)Inngår i: Virtual Reality, ISSN 1359-4338, E-ISSN 1434-9957, Vol. 27, nr 3, s. 1623-1634Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Correct classification of fractures according to their patterns is critical for developing a treatment plan in orthopaedic surgery. Unfortunately, for proximal humeral fractures (PHF), methods for proper classification have remained a jigsaw puzzle that has not yet been fully solved despite numerous proposed classifications and diagnostic methods. Recently, many studies have suggested that three-dimensional printed models (3DPM) can improve the interobserver agreement on PHF classifications. Moreover, Virtual Reality (VR) has not been properly studied for classification of shoulder injuries. The current study investigates the PHF classification accuracy relative to an expert committee when using either 3DPM or equivalent models displayed in VR among 36 orthopaedic surgery residents from different hospitals. We designed a multicentric randomised controlled trial in which we created two groups: a group exposed to a total of 34 3DPM and another exposed to VR equivalents. Association between classification accuracy and group assignment (VR/3DPM) was assessed using mixed effects logistic regression models. The results showed VR can be considered a non-inferior technology for classifying PHF when compared to 3DPM. Moreover, VR may be preferable when considering possible time and resource savings along with potential uses of VR for presurgical planning in orthopaedics. 

sted, utgiver, år, opplag, sider
Springer Science and Business Media Deutschland GmbH , 2023. Vol. 27, nr 3, s. 1623-1634
Emneord [en]
Fracture, Orthopedics, Regression analysis, Surgery, Virtual reality, Classification accuracy, Exposed to, Humeral fractures, Interobserver agreement, Orthopaedic surgery, Proximal humeral fracture, Randomized controlled trial, Shoulder surgery planning, Surgery planning, Three-dimensional printed model, 3D printing, Three-dimensional printed models
HSV kategori
Forskningsprogram
Interaction Lab (ILAB); Användarcentrerad produktdesign
Identifikatorer
URN: urn:nbn:se:his:diva-22269DOI: 10.1007/s10055-023-00757-4ISI: 000926409600001Scopus ID: 2-s2.0-85147386442OAI: oai:DiVA.org:his-22269DiVA, id: diva2:1737310
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CC BY 4.0

© 2023, The Author(s)

Published: 04 February 2023

Funding for open access publishing: Universidad Málaga/CBUA.

Tilgjengelig fra: 2023-02-16 Laget: 2023-02-16 Sist oppdatert: 2023-09-22bibliografisk kontrollert

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García Rivera, FranciscoLamb, Maurice

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