Methodological and statistical approaches for the assessment of foot shape using three-dimensional foot scanning: a scoping review.
journal contributionposted on 2023-06-08, 00:40 authored by Jamie AllanJamie Allan, Shannon MunteanuShannon Munteanu, Daniel BonannoDaniel Bonanno, Andrew BuldtAndrew Buldt, Simon Choppin, Alice Bullas, Natalie PearceNatalie Pearce, Hylton MenzHylton Menz
Objective: The objectives of this study were to: (i) review and provide a narrative synthesis of three-dimensional (3D) foot surface scanning methodological and statistical analysis protocols, and (ii) develop a set of recommendations for standardising the reporting of 3D foot scanning approaches. Methods: A systematic search of the SCOPUS, ProQuest, and Web of Science databases were conducted to identify papers reporting 3D foot scanning protocols and analysis techniques. To be included, studies were required to be published in English, have more than ten participants, and involve the use of static 3D surface scans of the foot. Papers were excluded if they reported two-dimensional footprints only, 3D scans that did not include the medial arch, dynamic scans, or derived foot data from a full body scan. Results: The search yielded 78 relevant studies from 17 different countries. The available evidence showed a large variation in scanning protocols. The subcategories displaying the most variation included scanner specifications (model, type, accuracy, resolution, capture duration), scanning conditions (markers, weightbearing, number of scans), foot measurements and definitions used, and statistical analysis approaches. A 16-item checklist was developed to improve the consistency of reporting of future 3D scanning studies. Conclusion: 3D foot scanning methodological and statistical analysis protocol consistency and reporting has been lacking in the literature to date. Improved reporting of the included subcategories could assist in data pooling and facilitate collaboration between researchers. As a result, larger sample sizes and diversification of population groups could be obtained to vastly improve the quantification of foot shape and inform the development of orthotic and footwear interventions and products.
At the time this review was conducted, HBM was a National Health and Medical Research Council Senior Research Fellow (ID: 1135995). AKB and DRB are currently Deputy Editor and Associate Editor, respectively of J Foot Ankle Res. It is journal policy to remove editors from the peer review processes for papers they have co-authored.
JournalJournal of Foot and Ankle Research
Rights Statement© The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http:// creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
FootHumansWeight-BearingScience & TechnologyLife Sciences & BiomedicineOrthopedicsBODY-MASS INDEXMORPHOLOGYDIMENSIONSGENDERAGECLASSIFICATIONRELIABILITYDIGITIZERCHILDRENVALIDITY4201 Allied health and rehabilitation scienceHuman Movement and Sports Science not elsewhere classifiedRehabilitation and Therapy (excl. Physiotherapy)