Passive intervertebral motion characteristics in chronic mid to low back pain: A multivariate analysis

Authors: Brownhill, K., Mellor, F. and Breen, A.

http://eprints.bournemouth.ac.uk/34451/

https://www.sciencedirect.com/journal/medical-engineering-and-physics/

Journal: Medical Engineering & Physics

Publisher: Elsevier

DOI: 10.1016/j.medengphy.2020.08.006

Purpose Studies comparing back pain patients and controls on continuous intervertebral kinematics have shown differences using univariate parameters. Hitherto, multivariate approaches have not been applied to this high dimensional data, risking clinically relevant features being undetected. A multivariate re-analysis was carried out to estimate main modes of variation, and explore group differences.

Methods 40 participants with mechanical back pain and 40 matched controls underwent passive recumbent quantitative videofluoroscopy. Intervertebral angles of L2/3 to L4/5 were obtained for right and left side-bending, extension, and flexion. Principal components analysis (PCA) was used to identify the main modes of variation, and to obtain a lower dimensional representation for comparing groups. Linear discriminant analysis (LDA) was used to identify how groups differed.

Results PCA identified three main modes of variation, all relating to range of motion (ROM) and its distribution between joints. Significant differences were found for coronal plane motions only (right: p=0.02, left: p=0.03) . LDA identified a shift in ROM to more cranial joints in the back pain group.

Conclusion The results confirm altered motion sharing between intervertebral joints in back pain, and provides more details about this. Further work is required to establish how these findings lead to pain, and so strengthen the theoretical basis for treatment and management of this condition.

This data was imported from PubMed:

Authors: Brownhill, K., Mellor, F. and Breen, A.

http://eprints.bournemouth.ac.uk/34451/

Journal: Med Eng Phys

Volume: 84

Pages: 115-125

eISSN: 1873-4030

DOI: 10.1016/j.medengphy.2020.08.006

PURPOSE: Studies comparing back pain patients and controls on continuous intervertebral kinematics have shown differences using univariate parameters. Hitherto, multivariate approaches have not been applied to this high dimensional data, risking clinically relevant features being undetected. A multivariate re-analysis was carried out to estimate main modes of variation, and explore group differences. METHODS: 40 participants with mechanical back pain and 40 matched controls underwent passive recumbent quantitative videofluoroscopy. Intervertebral angles of L2/3 to L4/5 were obtained for right and left side-bending, extension, and flexion. Principal components analysis (PCA) was used to identify the main modes of variation, and to obtain a lower dimensional representation for comparing groups. Linear discriminant analysis (LDA) was used to identify how groups differed. RESULTS: PCA identified three main modes of variation, all relating to range of motion (ROM) and its distribution between joints. Significant differences were found for coronal plane motions only (right: p = 0.02, left: p = 0.03) . LDA identified a shift in ROM to more cranial joints in the back pain group. CONCLUSION: The results confirm altered motion sharing between intervertebral joints in back pain, and provides more details about this. Further work is required to establish how these findings lead to pain, and so strengthen the theoretical basis for treatment and management of this condition.

This data was imported from Scopus:

Authors: Brownhill, K., Mellor, F. and Breen, A.

http://eprints.bournemouth.ac.uk/34451/

Journal: Medical Engineering and Physics

Volume: 84

Pages: 115-125

eISSN: 1873-4030

ISSN: 1350-4533

DOI: 10.1016/j.medengphy.2020.08.006

© 2020 Purpose: Studies comparing back pain patients and controls on continuous intervertebral kinematics have shown differences using univariate parameters. Hitherto, multivariate approaches have not been applied to this high dimensional data, risking clinically relevant features being undetected. A multivariate re-analysis was carried out to estimate main modes of variation, and explore group differences. Methods: 40 participants with mechanical back pain and 40 matched controls underwent passive recumbent quantitative videofluoroscopy. Intervertebral angles of L2/3 to L4/5 were obtained for right and left side-bending, extension, and flexion. Principal components analysis (PCA) was used to identify the main modes of variation, and to obtain a lower dimensional representation for comparing groups. Linear discriminant analysis (LDA) was used to identify how groups differed. Results: PCA identified three main modes of variation, all relating to range of motion (ROM) and its distribution between joints. Significant differences were found for coronal plane motions only (right: p = 0.02, left: p = 0.03). LDA identified a shift in ROM to more cranial joints in the back pain group. Conclusion: The results confirm altered motion sharing between intervertebral joints in back pain, and provides more details about this. Further work is required to establish how these findings lead to pain, and so strengthen the theoretical basis for treatment and management of this condition.

This data was imported from Web of Science (Lite):

Authors: Brownhill, K., Mellor, F. and Breen, A.

http://eprints.bournemouth.ac.uk/34451/

Journal: MEDICAL ENGINEERING & PHYSICS

Volume: 84

Pages: 115-125

eISSN: 1873-4030

ISSN: 1350-4533

DOI: 10.1016/j.medengphy.2020.08.006

The data on this page was last updated at 05:31 on November 27, 2020.