Evaluation of lumbar disc and spine morphology: long-term repeatability and comparison of methods

Belavý, D.L., Armbrecht, G. and Felsenberg, D. 2012, Evaluation of lumbar disc and spine morphology: long-term repeatability and comparison of methods, Physiological measurement, vol. 33, no. 8, pp. 1313-1321, doi: 10.1088/0967-3334/33/8/1313.

Attached Files
Name Description MIMEType Size Downloads

Title Evaluation of lumbar disc and spine morphology: long-term repeatability and comparison of methods
Author(s) Belavý, D.L.ORCID iD for Belavý, D.L. orcid.org/0000-0002-9307-832X
Armbrecht, G.
Felsenberg, D.
Journal name Physiological measurement
Volume number 33
Issue number 8
Start page 1313
End page 1321
Total pages 9
Publisher IOP Publishing
Place of publication London, Eng.
Publication date 2012
ISSN 1361-6579
Keyword(s) Science & Technology
Life Sciences & Biomedicine
Technology
Biophysics
Engineering, Biomedical
Physiology
Engineering
reliability
reproducibility
spinal surgery
low back pain
IDIOPATHIC SCOLIOSIS
DEGENERATION
AGREEMENT
VOLUME
STRAIN
MRI
Summary Establishing the long-term repeatability of quantitative measures of lumbar intervertebral disc and spinal morphology is important for planning interventional studies. We aimed to examine this issue and to determine to what extent a smaller number of measurements per disc or vertebral level could be used to save operator time without compromising measurement precision. Twenty-one healthy male subjects were scanned at baseline and 1.5 years later. On sagittal MR-scans intervertebral disc cross-sectional area, anterior disc height, posterior disc height, intervertebral angle and intervertebral length were measured. The repeatability of the average value from all sagittal images or from 1, 3, 5 or 7 images centred at the spinous process was evaluated. Bland-Altman analysis showed all measurements to be repeatable between testing days. Intervertebral length was the most precise measurement (coefficients of variation [CVs] between 1.2% and 1.5%), followed by disc cross-sectional area (CVs between 2.9% and 3.6%). Variance component analysis showed that using 7 images, but not 1, 3 or 5 images, resulted in a similar level of measurement error as when measurements from all images were included.
Language eng
DOI 10.1088/0967-3334/33/8/1313
Field of Research 110699 Human Movement and Sports Science not elsewhere classified
Socio Economic Objective 920299 Health and Support Services not elsewhere classified
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2012, IOP Publishing
Persistent URL http://hdl.handle.net/10536/DRO/DU:30071029

Document type: Journal Article
Collection: School of Exercise and Nutrition Sciences
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 3 times in TR Web of Science
Scopus Citation Count Cited 4 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 165 Abstract Views, 3 File Downloads  -  Detailed Statistics
Created: Wed, 11 Nov 2015, 10:51:57 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.