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Allan JJ, Munteanu SE, Bonanno DR, Buldt AK, Choppin S, Bullas A, Pearce N, Menz HB. Methodological and statistical approaches for the assessment of foot shape using three-dimensional foot scanning: a scoping review. J Foot Ankle Res 2023; 16:24. [PMID: 37106385 PMCID: PMC10134589 DOI: 10.1186/s13047-023-00617-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 03/21/2023] [Indexed: 04/29/2023] Open
Abstract
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.
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Affiliation(s)
- Jamie J Allan
- Discipline of Podiatry, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, VIC, 3086, Australia.
| | - Shannon E Munteanu
- Discipline of Podiatry, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, VIC, 3086, Australia
| | - Daniel R Bonanno
- Discipline of Podiatry, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, VIC, 3086, Australia
| | - Andrew K Buldt
- Discipline of Podiatry, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, VIC, 3086, Australia
| | - Simon Choppin
- Advanced Wellbeing Research Centre, Sheffield Hallam University, Sheffield, S9 3TU, UK
| | - Alice Bullas
- Advanced Wellbeing Research Centre, Sheffield Hallam University, Sheffield, S9 3TU, UK
| | - Natalie Pearce
- La Trobe Library, La Trobe University, Melbourne, VIC, 3086, Australia
| | - Hylton B Menz
- Discipline of Podiatry, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, VIC, 3086, Australia
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Stature estimation from various three-dimensional anthropometric foot measurements of Taiwanese female population. Leg Med (Tokyo) 2021; 54:102000. [PMID: 34894433 DOI: 10.1016/j.legalmed.2021.102000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 11/08/2021] [Accepted: 11/26/2021] [Indexed: 11/21/2022]
Abstract
Predicting a victim's stature from a dismembered body or human remains is a challenge in forensic practice. Lower extremity dimensions, such as the foot, are essential measurements for stature estimation. However, there is no available information on stature prediction generated from Taiwanese female foot measurements in the forensic science field. Hence, this study aims to investigate the correlations between various foot dimensions and stature and develop population-specific stature-prediction equations for Taiwanese females. Bilateral data of 12 foot dimensions were collected from 1058 females aged from 18 to 59 years using three-dimensional scanning. A pairedt-test is performed to evaluate bilateral differences, and linear and stepwise regression analyses are performed to generate stature predictions. The results indicate significant bilateral differences in the majority of the foot measurements. All measurements are positively correlated with stature (p < .05). Higher correlation coefficients with stature are observed in length-related foot dimensions, followed by girth- and breadth-related dimensions. The foot length on both sides is selected as an accurate and reliable parameter to conduct linear stature-predicting regression for Taiwanese females because it exhibits the highest explanation rate (right: 54.1%; left: 50.8%) and lowest estimating standard error (right: 3.883 cm, left: 4.020 cm) among the 12 foot measurements. Based on the results of the stepwise regression analysis, several stature-prediction equations consisting of various foot measurements are established. The findings of this study can provide helpful information for predicting the stature of Taiwanese females from fragmentary foot remains.
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