NDLI: Reliability and minimal detectable change of the ‘Imperial Spine’ marker set for the evaluation of spinal and lower limb kinematics in adults

Content Provider	Springer Nature : BioMed Central
Author	Deane, J. A. Papi, E. Phillips, A. T. M. McGregor, A. H.
Abstract	Objectives As a step towards the comprehensive evaluation of movement in patients with low back pain, the aim of this study is to design a marker set (three rigid segment spine, pelvic and lower limb model) and evaluate the reliability and minimal detectable change (MDC) of this marker set in healthy adults during gait and sit to stand (STS) tasks using three dimensional motion capture. Results The ‘Imperial Spine’ marker set was used to assess relative peak angles during gait and STS tasks using the minimum recommended sample size (n = 10) for reliability studies with minimum Intraclass Correlation Coefficient (ICC) of 0.70, optimum ICC 0.90 and 9 trials replicated per subject per task. Intra- and inter-tester reliability between an experienced and inexperienced user was examined. ICC, mean, standard error (SEM), Bland Altman 95% limits of agreement (LOA) and MDC were computed. ICC values demonstrated excellent intra- and inter-tester reliability in both tasks, particularly in the sagittal plane (majority ICCs > 0.80). SEM measurements were lower in gait (0.8–5.5°) than STS tasks (1°-12.6°) as were MDC values. LOA demonstrated good agreement. The ‘Imperial Spine’ marker set is reliable for use in healthy adults during functional tasks. Future evaluation in patients is required.
Related Links	https://bmcresnotes.biomedcentral.com/counter/pdf/10.1186/s13104-020-05295-9.pdf
Ending Page	8
Page Count	8
Starting Page	1
File Format	HTM / HTML
ISSN	17560500
DOI	10.1186/s13104-020-05295-9
Journal	BMC Research Notes
Issue Number	1
Volume Number	13
Language	English
Publisher	BioMed Central
Publisher Date	2020-10-22
Access Restriction	Open
Subject Keyword	Biomedicine Medicine Public Health Life Sciences Marker set Kinematics Spine Low back pain Gait Sit to stand Minimal detectable change Reliability Three dimensional motion capture Motion technology Medicine/Public Health
Content Type	Text
Resource Type	Article
Subject	Biochemistry, Genetics and Molecular Biology Medicine
Journal Impact Factor	1.6/2023

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