Evidence map›Paper›PMID 31256276›Full record

ArticleBiomechanics and modeling in mechanobiology2020

Predictive prosthetic socket design: part 1-population-based evaluation of transtibial prosthetic sockets by FEA-driven surrogate modelling.

J W Steer, P R Worsley, M Browne, A S Dickinson

Open access · hybridAbstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 67 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

J W SteerBioengineering Science Research Group, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, UK.ORCID http://orcid.org/0000-0002-6288-1347
P R WorsleyClinical Academic Facility, Faculty of Health Sciences, University of Southampton, Southampton, UK.ORCID http://orcid.org/0000-0003-0145-5042
M BrowneBioengineering Science Research Group, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, UK.ORCID http://orcid.org/0000-0001-5184-050X
A S DickinsonBioengineering Science Research Group, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, UK. alex.dickinson@soton.ac.uk.ORCID http://orcid.org/0000-0002-9647-1944
University of Southampton · GB

Funding

Engineering and Physical Sciences Research Council EP/M508147/1Engineering and Physical Sciences Research Council EP/N02723X/1Royal Academy of Engineering (UK) RF/130
6 · The paper itself

Abstract

It has been proposed that finite element analysis can complement clinical decision making for the appropriate design and manufacture of prosthetic sockets for amputees. However, clinical translation has not been achieved, in part due to lengthy solver times and the complexity involved in model development. In this study, a parametric model was created, informed by variation in (i) population-driven residuum shape morphology, (ii) soft tissue compliance and (iii) prosthetic socket design. A Kriging surrogate model was fitted to the response of the analyses across the design space enabling prediction for new residual limb morphologies and socket designs. It was predicted that morphological variability and prosthetic socket design had a substantial effect on socket-limb interfacial pressure and shear conditions as well as sub-dermal soft tissue strains. These relationships were investigated with a higher resolution of anatomical, surgical and design variability than previously reported, with a reduction in computational expense of six orders of magnitude. This enabled real-time predictions (1.6 ms) with error vs the analytical solutions of < 4 kPa in pressure at residuum tip, and < 3% in soft tissue strain. As such, this framework represents a substantial step towards implementation of finite element analysis in the prosthetics clinic.

Indexed as

Artificial LimbsModels, BiologicalProsthesis DesignBiomechanical PhenomenaFinite Element AnalysisHumansPressurePrincipal Component AnalysisRegression AnalysisTibiaAmputationFinite element analysisPrincipal component analysisStatistical shape modelling

Identifiers

PMID31256276
PMCPMC7423807
OpenAlexW2955427047

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.