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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

Almirón Santa-Bárbara, Rafael (författare)
Department of Orthopaedic Surgery and Traumatology, Hospital de Antequera, Malaga, Spain ; School of Medicine, Universidad de Málaga, Spain
García Rivera, Francisco, 1994- (författare)
Högskolan i Skövde,Institutionen för ingenjörsvetenskap,Forskningsmiljön Virtuell produkt- och produktionsutveckling,User Centered Product Design
Lamb, Maurice (författare)
Högskolan i Skövde,Institutionen för informationsteknologi,Forskningsmiljön Informationsteknologi,Institutionen för ingenjörsvetenskap,Forskningsmiljön Virtuell produkt- och produktionsutveckling,Interaction Lab (iLab)
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Víquez Da-Silva, Rodrigo (författare)
Department of Orthopaedic Surgery and Traumatology, Hospital Universitario Virgen de la Victoria, Málaga, Spain
Gutiérrez Bedmar, Mario (författare)
Preventive Medicine and Public Health Department, School of Medicine, University of Málaga, Spain ; Biomedical Research Institute of Malaga-IBIMA, Spain ; CIBERCV Cardiovascular Diseases, Carlos III Health Institute, Madrid, Spain
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 (creator_code:org_t)
2023-02-04
2023
Engelska.
Ingår i: Virtual Reality. - : Springer Science and Business Media Deutschland GmbH. - 1359-4338 .- 1434-9957. ; 27:3, s. 1623-1634
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • 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. 

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Ortopedi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Orthopaedics (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Kirurgi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Surgery (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Människa-datorinteraktion (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Human Computer Interaction (hsv//eng)

Nyckelord

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
Interaction Lab (ILAB)
Interaction Lab (ILAB)
User Centred Product Design
Användarcentrerad produktdesign

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