Flatfoot arch correction with generic 3D-printed orthoses at different body weight percentages.

3D printing Arch collapse Arch height Flatfoot Medial arch angle Orthosis Weightbearing

Journal

Foot (Edinburgh, Scotland)
ISSN: 1532-2963
Titre abrégé: Foot (Edinb)
Pays: Scotland
ID NLM: 9109564

Informations de publication

Date de publication:
18 Mar 2024
Historique:
received: 12 09 2023
revised: 14 03 2024
accepted: 16 03 2024
medline: 24 3 2024
pubmed: 24 3 2024
entrez: 23 3 2024
Statut: aheadofprint

Résumé

Flatfoot can be associated with foot pathologies and treated conservatively with foot orthoses to correct arch collapse and alleviate painful symptoms. Recently, 3D printing has become more popular and is widely used for medical device manufacturing, such as orthoses. This study aims at quantifying the effect of generic 3D-printed foot orthoses on flatfoot arch correction under different static loading conditions. Participants with normal and flatfeet were recruited for this cross-sectional study. Clinical evaluation included arch height, foot posture index, and Beighton flexibility score. Surface imaging was performed in different loading conditions: 1) 0% when sitting, 2) 50% when standing on both feet, and 3) 125% when standing on one foot with a weighted vest. For flatfoot participants, three configurations were tested: without an orthosis, with a soft generic 3D printed orthosis, and with a rigid 3D printed orthosis. Arch heights and medial arch angles were calculated and compared for the different loading conditions and with or without orthoses. The differences between groups, with and without orthoses, were analyzed with Kruskal-Wallis tests, and a p < 0.05 was considered significant. A total of 10 normal feet and 10 flatfeet were analyzed. The 3D printed orthosis significantly increased arch height in all loading conditions, compared to flatfeet without orthosis. Wearing an orthosis reduced the medial arch angle, although not significantly. Our technique was found to have good to excellent intra and interclass correlation coefficients. Generic 3D printed orthoses corrected arch collapse in static loading conditions, including 125% body weight to simulate functional tasks like walking. Our protocol was found to be reliable and easier to implement in a clinical setting compared to previously reported methods. II.

Sections du résumé

BACKGROUND BACKGROUND
Flatfoot can be associated with foot pathologies and treated conservatively with foot orthoses to correct arch collapse and alleviate painful symptoms. Recently, 3D printing has become more popular and is widely used for medical device manufacturing, such as orthoses. This study aims at quantifying the effect of generic 3D-printed foot orthoses on flatfoot arch correction under different static loading conditions.
METHODS METHODS
Participants with normal and flatfeet were recruited for this cross-sectional study. Clinical evaluation included arch height, foot posture index, and Beighton flexibility score. Surface imaging was performed in different loading conditions: 1) 0% when sitting, 2) 50% when standing on both feet, and 3) 125% when standing on one foot with a weighted vest. For flatfoot participants, three configurations were tested: without an orthosis, with a soft generic 3D printed orthosis, and with a rigid 3D printed orthosis. Arch heights and medial arch angles were calculated and compared for the different loading conditions and with or without orthoses. The differences between groups, with and without orthoses, were analyzed with Kruskal-Wallis tests, and a p < 0.05 was considered significant.
RESULTS RESULTS
A total of 10 normal feet and 10 flatfeet were analyzed. The 3D printed orthosis significantly increased arch height in all loading conditions, compared to flatfeet without orthosis. Wearing an orthosis reduced the medial arch angle, although not significantly. Our technique was found to have good to excellent intra and interclass correlation coefficients.
CONCLUSIONS CONCLUSIONS
Generic 3D printed orthoses corrected arch collapse in static loading conditions, including 125% body weight to simulate functional tasks like walking. Our protocol was found to be reliable and easier to implement in a clinical setting compared to previously reported methods.
LEVEL OF EVIDENCE METHODS
II.

Identifiants

pubmed: 38520781
pii: S0958-2592(24)00026-9
doi: 10.1016/j.foot.2024.102093
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

102093

Informations de copyright

Copyright © 2024. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of Competing Interest Marie-Lyne Nault: The institution (Hopital Sacré-Coeur de Montréal) has received departmental funding for research and educational purposes from: Arthrex, Conmed, Depuy, Linvatec, Smith & Nephew, Stryker, Synthes, Tornier, Wright, Zimmer Biomet. Departmental funding was also provided to CHU Sainte-Justine from Orthopaediatrics. This project did not receive any funding from these entities and they were not involved in any aspect of the submitted work. The other authors declare that they have no conflict of interest.

Auteurs

Tommy Lavoie-Turcotte (T)

Faculty of Medicine, McGill University, 1650 Cedar Ave, Montreal, Quebec H3G 1A4, Canada.

Anne-Laure Ménard (AL)

École de Kinésiologie et des Sciences de l'Activité Physique, Faculté de Médecine, Université de Montréal, Campus Laval, 1700 rue Jacques Tétreault, Laval, QC H7N 0B6, Canada.

Mickael Begon (M)

École de Kinésiologie et des Sciences de l'Activité Physique, Faculté de Médecine, Université de Montréal, Campus Laval, 1700 rue Jacques Tétreault, Laval, QC H7N 0B6, Canada; CHU Sainte-Justine, 3175 Chemin de la Côte-Sainte-Catherine, Montréal, QC H3T 1C5. Canada.

Marie-Lyne Nault (ML)

CHU Sainte-Justine, 3175 Chemin de la Côte-Sainte-Catherine, Montréal, QC H3T 1C5. Canada; University of Montreal, 2900 boul. Edouard-Montpetit, Montréal, QC H3T 1J4. Canada; CIUSSS Hôpital du Sacré-Cœur de Montréal (HSCM), Department of Orthopedic Surgery, 5400 boul. Gouin Ouest, Montreal, QC H4J 1C5, Canada. Electronic address: marie-lyne.nault@umontreal.ca.

Classifications MeSH