Dickinson, A.S., Steer, J.W., Woods, C.J. and Worsley, P.R. (2016) Registering a methodology for imaging and analysis of residual-limb shape after transtibial amputation. The Journal of Rehabilitation Research and Development, 53 (2), 207-218. (doi:10.1682/JRRD.2014.10.0272).
Abstract
Successful prosthetic rehabilitation following lower-limb amputation depends upon a safe and comfortable socket-residual limb interface. Current practice predominantly uses a subjective, iterative process to establish socket shape, often requiring several visits to a prosthetist. This study ??proposes an objective methodology for residual-limb shape scanning and analysis by high-resolution, automated measurements. A 3-D printed "analog" residuum was scanned with three surface digitizers on 10 occasions. Accuracy was measured by the scan-height error between repeat analog scans and the computer-aided design (CAD) geometry and the scan versus CAD volume. Subsequently, 20 male residuum casts from ambulatory individuals with transtibial amputation were scanned by two observers, and 10 were repeat-scanned by one observer. The shape files were aligned spatially, and geometric measurements were extracted. Repeatability was evaluated by intraclass correlation, Bland-Altman analysis of scan volumes, and pairwise root-mean-square error ranges of scan area and width profiles. Submillimeter accuracy was achieved when scanning the analog shape using white light and laser scanning technologies. Scanning male residuum casts was highly repeatable within and between observers. The analysis methodology technique provides clinical researchers and prosthetists the capability to establish their own quantitative, objective, multipatient datasets. This could provide an evidence base for training, long-term follow-up, and interpatient outcome comparison, for decision support in socket design.
More information
Identifiers
Catalogue record
Export record
Altmetrics
Contributors
University divisions
- Current Faculties > Faculty of Engineering and Physical Sciences > School of Engineering > Mechanical Engineering > Bioengineering Group
Mechanical Engineering > Bioengineering Group - Faculties (pre 2018 reorg) > Faculty of Engineering and the Environment (pre 2018 reorg) > Mechanical Engineering (pre 2018 reorg) > Bioengineering Group (pre 2018 reorg)
Current Faculties > Faculty of Engineering and Physical Sciences > School of Engineering > Mechanical Engineering > Mechanical Engineering (pre 2018 reorg) > Bioengineering Group (pre 2018 reorg)
Mechanical Engineering > Mechanical Engineering (pre 2018 reorg) > Bioengineering Group (pre 2018 reorg)
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.