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Detection of Altered Collagen Fiber Alignment in the Cervical Facet Capsule After Whiplash-Like Joint Retraction

Overview of attention for article published in Annals of Biomedical Engineering, May 2011
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Title
Detection of Altered Collagen Fiber Alignment in the Cervical Facet Capsule After Whiplash-Like Joint Retraction
Published in
Annals of Biomedical Engineering, May 2011
DOI 10.1007/s10439-011-0316-3
Pubmed ID
Authors

Kyle P. Quinn, Beth A. Winkelstein

Abstract

The cervical facet joint has been identified as the source of pain in patients with whiplash-associated disorders, but most clinical studies report no radiographic evidence of tissue injury in these disorders. The goal of this study was to utilize quantitative polarized light imaging to assess the potential for altered collagen fiber alignment in human cadaveric cervical facet capsule specimens (n = 8) during and after a joint retraction simulating whiplash exposure. Although no evidence of ligament damage was detected during whiplash-like retraction, mechanical and microstructural changes were identified after loading. Retraction produced significant decreases in ligament stiffness (p = 0.0186) and increases in laxity (p = 0.0065). In addition, image analysis indicated that 21.1 ± 17.1% of the capsule sustained principal strains that were unrecovered immediately after retraction. Altered collagen fiber alignment was detected in 32.7 ± 22.9% of the capsule after retraction. The capsule regions with unrecovered strain and altered fiber alignment after retraction were significantly co-localized with each other (p < 0.0001), suggesting the altered mechanical function may relate to a change in the tissue's fiber organization. The identification of altered fiber alignment in this ligament following retraction without any tears implicates the whiplash kinematic as a potential cause of microstructural damage that is not detectable using standard clinical imaging techniques.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 3%
Unknown 35 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 25%
Researcher 6 17%
Student > Master 6 17%
Other 5 14%
Lecturer 2 6%
Other 6 17%
Unknown 2 6%
Readers by discipline Count As %
Engineering 14 39%
Medicine and Dentistry 10 28%
Nursing and Health Professions 2 6%
Agricultural and Biological Sciences 2 6%
Neuroscience 2 6%
Other 3 8%
Unknown 3 8%