SynthesisPloS one2014
What has finite element analysis taught us about diabetic foot disease and its management? A systematic review.
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12 citing papers in PubMed, 48 citations in OpenAlex.
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- Combining gait analysis and finite element modeling to optimize offloading insoles for calcaneal ulcers.Scientific reports · 2026Article
- A new approach for assessment of clubfoot treatment using non-radiological scanner coupling finite element.Frontiers in pediatrics · 2026Article
- [A feasibility study of the EMO scoring system to guide proximal tibial transverse transport in treatment of diabetic foot wounds].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2025Article
- Development of Mathematical Model for Understanding Microcirculation in Diabetic Foot Ulcers Based on Ankle-Brachial Index.Bioengineering (Basel, Switzerland) · 2025Article
- Advancements in diabetic foot insoles: a comprehensive review of design, manufacturing, and performance evaluation.Frontiers in bioengineering and biotechnology · 2024Review
- Effects of different contact angles during forefoot running on the stresses of the foot bones: a finite element simulation study.Frontiers in bioengineering and biotechnology · 2024Article
- Article
- Analysis of stress response distribution in patients with lateral ankle ligament injuries: a study of neural control strategies utilizing predictive computing models.Frontiers in physiology · 2024Article
- Technologies to monitor the health of loaded skin tissues.Biomedical engineering online · 2018Review
- Subject-specific finite element modelling of the human foot complex during walking: sensitivity analysis of material properties, boundary and loading conditions.Biomechanics and modeling in mechanobiology · 2018Article
- Finite Element Analysis of Foot and Ankle Impact Injury: Risk Evaluation of Calcaneus and Talus Fracture.PloS one · 2016Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOver the past two decades finite element (FE) analysis has become a popular tool for researchers seeking to simulate the biomechanics of the healthy and diabetic foot. The primary aims of these simulations have been to improve our understanding of the foot's complicated mechanical loading in health and disease and to inform interventions designed to prevent plantar ulceration, a major complication of diabetes. This article provides a systematic review and summary of the findings from FE analysis-based computational simulations of the diabetic foot.
methodsA systematic literature search was carried out and 31 relevant articles were identified covering three primary themes: methodological aspects relevant to modelling the diabetic foot; investigations of the pathomechanics of the diabetic foot; and simulation-based design of interventions to reduce ulceration risk.
resultsMethodological studies illustrated appropriate use of FE analysis for simulation of foot mechanics, incorporating nonlinear tissue mechanics, contact and rigid body movements. FE studies of pathomechanics have provided estimates of internal soft tissue stresses, and suggest that such stresses may often be considerably larger than those measured at the plantar surface and are proportionally greater in the diabetic foot compared to controls. FE analysis allowed evaluation of insole performance and development of new insole designs, footwear and corrective surgery to effectively provide intervention strategies. The technique also presents the opportunity to simulate the effect of changes associated with the diabetic foot on non-mechanical factors such as blood supply to local tissues. DISCUSSION: While significant advancement in diabetic foot research has been made possible by the use of FE analysis, translational utility of this powerful tool for routine clinical care at the patient level requires adoption of cost-effective (both in terms of labour and computation) and reliable approaches with clear clinical validity for decision making.
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