Literature DB >> 10328423

Disease-specific changes in equine ground reaction force data documented by use of principal component analysis.

G E Williams1, B W Silverman, A M Wilson, A E Goodship.   

Abstract

OBJECTIVE: To assess the force plate as a diagnostic aid in equine locomotor abnormalities, particularly for abnormalities such as navicular disease that do not have specific diagnostic criteria. ANIMALS: 17 Thoroughbreds without observable locomotor abnormalities (group A), 6 Thoroughbreds with superficial digital flexor tendon injury (group B), and 8 Thoroughbreds with navicular disease (group C). PROCEDURE: Using a force plate, ground reaction force patterns were recorded at the trot. Peak limb vertical force and force/time curve parameters were derived from 4 identifiable points at the beginning and end of vertical and craniocaudal horizontal plots. Principal component analysis (PCA) of group-A data was undertaken on beginning and end of stride data, and the first 2 components were represented graphically. The PCA rotation matrices were applied to equivalent data for horses of groups B and C.
RESULTS: Asymmetry of peak vertical force (PVF) could not be differentiated among groups A, B, and C. Values for group-B horses, however, were significantly outside mean group-A values on the PCA plot for beginning of stride phase variables. Group-B data were within the group-A range for end of stride phase variables. Values for group-C horses were significantly outside the group-A range for beginning of stride phase variables and were outside mean group-A values for end of stride phase variables.
CONCLUSIONS: PCA of force/time data provides a sensitive method to evaluate the force/time curve associated with 2 specific injury/disease processes. CLINICAL RELEVANCE: Horses alter weight-bearing in biomechanically distinct ways, thus creating potential for the force plate to become an important diagnostic and prognostic tool.

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Year:  1999        PMID: 10328423

Source DB:  PubMed          Journal:  Am J Vet Res        ISSN: 0002-9645            Impact factor:   1.156


  6 in total

1.  Kinetic Analysis in Horses With Deep Digital Flexor Tendinopathy Within the Digit Diagnosed by Magnetic Resonance Imaging.

Authors:  Lori M Madsen; Santiago D Gutierrez-Nibeyro; Matthew C Stewart; Annette M McCoy; David J Schaeffer
Journal:  Front Vet Sci       Date:  2022-05-31

2.  Continuous versus discrete data analysis for gait evaluation of horses with induced bilateral hindlimb lameness.

Authors:  Ineke H Smit; Elin Hernlund; Harold Brommer; P René van Weeren; Marie Rhodin; Filipe M Serra Bragança
Journal:  Equine Vet J       Date:  2021-06-23       Impact factor: 2.692

3.  A simple method of equine limb force vector analysis and its potential applications.

Authors:  Sarah Jane Hobbs; Mark A Robinson; Hilary M Clayton
Journal:  PeerJ       Date:  2018-02-21       Impact factor: 2.984

4.  Modifications of gait as predictors of natural osteoarthritis progression in STR/Ort mice.

Authors:  Blandine Poulet; Roberto de Souza; Chancie B Knights; Clive Gentry; Alan M Wilson; Stuart Bevan; Yu-Mei Chang; Andrew A Pitsillides
Journal:  Arthritis Rheumatol       Date:  2014-07       Impact factor: 10.995

5.  Gait Changes Vary among Horses with Naturally Occurring Osteoarthritis Following Intra-articular Administration of Autologous Platelet-Rich Plasma.

Authors:  Mustajab H Mirza; Prakash Bommala; Heather A Richbourg; Nathalie Rademacher; Michael T Kearney; Mandi J Lopez
Journal:  Front Vet Sci       Date:  2016-04-13

6.  Peak strain magnitudes and rates in the tibia exceed greatly those in the skull: An in vivo study in a human subject.

Authors:  Richard A Hillam; Allen E Goodship; Tim M Skerry
Journal:  J Biomech       Date:  2015-06-27       Impact factor: 2.712

  6 in total

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