Feasibility Study on Using Smart Templates, That Link Rectification Approaches to Particular Patient Characteristics, for Transtibial Prosthetic Socket Fitting
NCT ID: NCT06597266
Last Updated: 2024-09-23
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
17 participants
INTERVENTIONAL
2022-10-17
2023-11-30
Brief Summary
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The technology uses data from previous socket designs and limb shapes to develop and train the software, developed working with Opcare Ltd, a prosthetics provider. The software suggests appropriate socket design shapes (templates) that may be optimal based on previous designs and whether they have fit and been comfortable.
The aim of this study is to assess the feasibility of sockets designed by the Radii Devices software, and a preliminary comparison against socket designed by a clinician (known as a prosthetist). Combining qualitative (semi-structured interview) and quantitative (Socket Comfort) methods, will enable understanding of the strengths and limitations and inform further development of the Radii Devices technology into full design software for prosthetists that provides optimal socket design support.
This study is funded by an Innovate UK Biomedical Catalyst grant and will be carried out over a 6 month period at Oxford, Roehampton and Bristol Opcare NHS prosthetic services. Prosthetists at these services and patients with a below-knee amputation will be eligible to apply if they are interested. Participation will be split into two stages. In Stage One participants will be asked to trial two sockets (designed using different methods) at their fitting appointment instead of the usual one. If participants would like to participate in the second stage they will be asked about their experiences of socket fit and comfort in interviews, and within a short socket comfort diary for patients.
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Detailed Description
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Socket design involves a process called rectification which aims to optimise comfort, stability and mobility for the prosthesis user. To achieve this, the prosthetist will remove material or add material to shape the final socket design. Rectification is a very complicated problem; yet there is currently little guidance or evidence to support the process. This leaves the socket dependent upon the skill and experience of the individual prosthetist, who require years of training and experience. Even then getting an optimal socket fit can take up to 9 clinic visits.
The development of evidence-based socket design to improve socket fit is a primary objective of the International Society for Prosthetics \& Orthotics. Critical to this is the ability to use information about past socket designs to learn from and increase understanding of the socket design process. This need goes back many decades, with Klasson asking the following questions in 1982 which are still unsolved today:
* What is a good fit?
* What information is necessary to achieve a good fit?
* Which processing of the information is necessary to arrive at a good fit?
Since 2014, University of Southampton researchers have developed technology to meet the patient and clinic need, guided by input from prosthetics providers including Opcare, and patients. This work has so far resulted in world-leading research on analysing shape and optimising socket design and the spin out of a company (Radii Devices). As part of a collaboration with Opcare, in November 2019, a study was carried out to assess the current socket design software, understand current practice and how socket design could be supported. Five prosthetists of varying experience were recruited and key areas in which computer software can be improved were identified, including:
1. inclusion of more data to support design;
2. a more intuitive interface; and
3. the ability to adapt to individual clinician preferences.
Challenges include the complicated 3D shapes within socket design and how to get and visualise meaningful data about the design process. Researchers at the University of Southampton and Radii Devices have developed a process which uses computational geometry, data science and biomechanical engineering expertise to achieve this. The developed software learns from past socket designs to suggest optimal socket design for an individual patient. This software will be tested within this research study to compare it against Opcare's current design process. This will enable researchers to understand the strengths and weaknesses of the technology and inform the development of design software incorporating this technology in the best way to support socket design.
Conditions
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Study Design
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RANDOMIZED
CROSSOVER
DEVICE_FEASIBILITY
SINGLE
Study Groups
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Experimental (evidence-generated socket) then Active Comparator (control socket)
Participants are first fitted with an evidence-generated prosthetic check socket (experimental), and then fitted with a prosthetist-led prosthetic check socket (active comparator)
Smart template - designed prosthetic check socket
Evidence-generated trial prosthetic sockets are designed automatically by performing machine learning analysis of past socket designs that were produced by expert clinicians, the participant's residual limb size and shape descriptors and patient descriptors
Clinician-designed prosthetic check socket
Active comparator prosthetic sockets are designed by expert prosthetists, bespoke to the participant, in a computer aided design environment (CAD)
Active Comparator (control socket) then Experimental (evidence-generated socket)
Participants are first fitted with a prosthetist-led prosthetic check socket (active comparator), and then fitted with an evidence-generated prosthetic check socket (experimental)
Smart template - designed prosthetic check socket
Evidence-generated trial prosthetic sockets are designed automatically by performing machine learning analysis of past socket designs that were produced by expert clinicians, the participant's residual limb size and shape descriptors and patient descriptors
Clinician-designed prosthetic check socket
Active comparator prosthetic sockets are designed by expert prosthetists, bespoke to the participant, in a computer aided design environment (CAD)
Interventions
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Smart template - designed prosthetic check socket
Evidence-generated trial prosthetic sockets are designed automatically by performing machine learning analysis of past socket designs that were produced by expert clinicians, the participant's residual limb size and shape descriptors and patient descriptors
Clinician-designed prosthetic check socket
Active comparator prosthetic sockets are designed by expert prosthetists, bespoke to the participant, in a computer aided design environment (CAD)
Eligibility Criteria
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Inclusion Criteria
* Attend the Bristol, Oxford or Roehampton NHS Opcare prosthetic services
* Have had a transtibial amputation
* Deemed ready to cast for a new prosthesis by the clinical team as per usual care at the prosthetic centre
* Able to understand verbal and written English and provide informed consent
Exclusion Criteria
* Have had an ankle disarticulation, Knee disarticulation or transfemoral amputation
* Contraindication to be fit for a prosthetic socket
* Unwilling to trial or unable to tolerate trialling two sockets at a fitting session
* Unable to answer verbal questions (as per normal fitting appointment) on their socket fitting and comfort
18 Years
ALL
No
Sponsors
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Radii Devices Ltd
UNKNOWN
Opcare Ltd
UNKNOWN
University of Southampton
OTHER
Responsible Party
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Alex Dickinson
Professor of Biomechanical Engineering
Principal Investigators
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Alexander Dickinson, PhD
Role: PRINCIPAL_INVESTIGATOR
University of Southampton
Locations
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Bristol Centre for Enablement
Bristol, , United Kingdom
Oxford Centre for Enablement
Oxford, , United Kingdom
Douglas Bader Rehabilitation Centre, Queen Mary's Hospital
Roehampton, , United Kingdom
Countries
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References
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A Comparison between Evidence-Generated Transtibial Sockets and Conventional CADCAM Designs, from the Patient's Perspective Florence Mbithi Dr, Maggie Donovan-Hall Prof, Jennifer Bramley Dr, Joshua Steer Dr, Charalambos Rossides Dr, Peter Worsley Prof, Chantel Ostler Dr, Cheryl Metcalf Prof, Dominic Hannett, Caroline Ward, Jack Kitchen, Sioned Steventon, Katy McIntosh, Shigong Guo Dr, Helen Harvey, David Henderson Slater Dr, Vijay Kolli Dr, Alex Dickinson Prof medRxiv 2024.09.17.24312762; doi: https://doi.org/10.1101/2024.09.17.24312762
Dickinson AS, Steer JW, Rossides C, Diment LE, Mbithi FM, Bramley JL, Hannett D, Blinova J, Tankard Z, Worsley PR. Insights into the spectrum of transtibial prosthetic socket design from expert clinicians and their digital records. Front Rehabil Sci. 2024 Jul 12;5:1354069. doi: 10.3389/fresc.2024.1354069. eCollection 2024.
Other Identifiers
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10014827
Identifier Type: OTHER_GRANT
Identifier Source: secondary_id
IRAS 313408 / HRA REC 22/YH/02
Identifier Type: -
Identifier Source: org_study_id
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