Accuracy and Reliability of 3D Scanning Spatial Data when Capturing Limb Morphology for Use within Prosthetics and Orthotics: A Scoping Review
2022 (English)Independent thesis Basic level (degree of Bachelor), 20 credits / 30 HE credits
Student thesisAlternative title
Nøjagtighed og pålidelighed af 3D scanning for spatial data ved afbildning af lemme morfologi til brug indenfor bandagistfaget: et scoping review (Danish)
Abstract [en]
Background: Scanners are becoming widespread in Prosthetics and Orthotics, replacing plaster casting in the manufacture of some types of devices. P&O shape capture must be accurate and reliable, so the device is comfortable and reproducible between clinicians/sessions.
Objectives: To map knowledge on measuring accuracy and reliability of spatial data produced from 3D scanners.
Methods: The study design was a scoping review using the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). Studies published in or after 2010 in English with a full-text available that analyse either the accuracy/validity or reliability of human 3D scanning data within a P&O context. Sources were obtained from Pubmed, CINAHL, Scopus, Cochrane Library, Web of Science, and AMed databases on 25th March.
Results: The search identified 115 studies of which 9 were included (7 experimental [4 prosthetic, 3 orthotic], 1 systematic review, 1 literature review). 7 analysed both reliability and accuracy/validity and 2 analysed reliability. High heterogeneity amongst studies’ methods, techniques, and equipment.
Conclusion: Methods, techniques, and equipment used to measure accuracy/validity and reliability varied greatly though more so in the measurement of accuracy/validity. Within the studies, researchers called for more research on standardisation of measurement methods and techniques.
Place, publisher, year, edition, pages
2022. , p. 43
Keywords [en]
Scanner, 3D, Accuracy, Reliability, Validity, Prosthetics, Orthotics, Shape capture, Measurement, Human, Shape, Morphology, Assessment
National Category
Other Medical Sciences not elsewhere specified Other Health Sciences Medical Laboratory Technologies Medical Equipment Engineering
Identifiers
URN: urn:nbn:se:hj:diva-56865ISRN: JU-HHJ-OTE-1-20220080OAI: oai:DiVA.org:hj-56865DiVA, id: diva2:1665350
Subject / course
HHJ, Prosthetic and Orthotic
Supervisors
2022-06-142022-06-072025-02-09Bibliographically approved