Evidence map›Paper›PMID 32906701›Full record

ArticleMaterials (Basel, Switzerland)2020

Developing an Analogue Residual Limb for Comparative DVC Analysis of Transtibial Prosthetic Socket Designs.

Kathryn Rankin, Joshua Steer, Joshua Paton, Mark Mavrogordato, Alexander Marter, Peter Worsley, Martin Browne, Alexander Dickinson

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. A biofidelic mock residual limb for prosthetic socket testing.Canadian prosthetics & orthotics journal · 2025
    Article
  3. Article
  4. Article
  5. Article
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

8 authors.

Kathryn RankinBioengineering Science Research Group, School of Engineering, University of Southampton, Southampton SO17 1BJ, UK.
Joshua SteerBioengineering Science Research Group, School of Engineering, University of Southampton, Southampton SO17 1BJ, UK.ORCID 0000-0002-6288-1347
Joshua PatonBioengineering Science Research Group, School of Engineering, University of Southampton, Southampton SO17 1BJ, UK.
Mark Mavrogordatoµ-VIS X-Ray Imaging Centre, University of Southampton, Southampton SO17 1BJ, UK.
Alexander MarterBioengineering Science Research Group, School of Engineering, University of Southampton, Southampton SO17 1BJ, UK.
Peter WorsleySkin Health Research Group, School of Health Sciences, University of Southampton, Southampton SO16 6YD, UK.
Martin BrowneBioengineering Science Research Group, School of Engineering, University of Southampton, Southampton SO17 1BJ, UK.
Alexander DickinsonBioengineering Science Research Group, School of Engineering, University of Southampton, Southampton SO17 1BJ, UK.ORCID 0000-0002-9647-1944

Funding

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

Abstract

Personalised prosthetic sockets are fabricated by expert clinicians in a skill- and experience-based process, with research providing tools to support evidence-based practice. We propose that digital volume correlation (DVC) may offer a deeper understanding of load transfer from prosthetic sockets into the residual limb, and tissue injury risk. This study's aim was to develop a transtibial amputated limb analogue for volumetric strain estimation using DVC, evaluating its ability to distinguish between socket designs. A soft tissue analogue material was developed, comprising silicone elastomer and sand particles as fiducial markers for image correlation. The material was cast to form an analogue residual limb informed by an MRI scan of a person with transtibial amputation, for whom two polymer check sockets were produced by an expert prosthetist. The model was micro-CT scanned according to (i) an unloaded noise study protocol and (ii) a case study comparison between the two socket designs, loaded to represent two-legged stance. The scans were reconstructed to give 108 µm voxels. The DVC noise study indicated a 64 vx subvolume and 50% overlap, giving better than 0.32% strain sensitivity, and ~3.5 mm spatial resolution of strain. Strain fields induced by the loaded sockets indicated tensile, compressive and shear strain magnitudes in the order of 10%, with a high signal:noise ratio enabling distinction between the two socket designs. DVC may not be applicable for socket design in the clinical setting, but does offer critical 3D strain information from which existing in vitro and in silico tools can be compared and validated to support the design and manufacture of prosthetic sockets, and enhance the biomechanical understanding of the load transfer between the limb and the prosthesis.

Indexed as

amputationdigital volume correlationDVCmicro-CTprosthetic

Identifiers

PMID32906701
PMCPMC7557588

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Registered trials

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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.