Evidence map›Paper›PMID 41890152›Full record

ArticleFrontiers in veterinary science2026

The dynamic 3D horse: analyzing the relationship between whole body pathomechanics and joint degeneration in the fetlocks.

Gwyneth P Miller, Jean Luc Cornille, Ronda Hanning, Alexander K K Lee, Elizabeth W Uhl, Michelle L Osborn

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Gwyneth P MillerDepartment of Comparative Biomedical Sciences, Louisiana State University School of Veterinary Medicine, Baton Rouge, LA, United States.
Jean Luc CornilleScience of Motion®, Eatonton, GA, United States.
Ronda HanningField of Dreams Equestrian Center, LLC, Fort Wayne, IN, United States.
Alexander K K LeeDepartment of Comparative Biomedical Sciences, Louisiana State University School of Veterinary Medicine, Baton Rouge, LA, United States.
Elizabeth W UhlDepartment of Pathology, University of Georgia College of Veterinary Medicine, Athens, GA, United States.
Michelle L OsbornDepartment of Comparative Biomedical Sciences, Louisiana State University School of Veterinary Medicine, Baton Rouge, LA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lameness is often associated with degenerative joint disease (DJD). Current therapies focus on minimizing pain or treating specific lesions but generally do not address the pathomechanical forces that are the root cause of degeneration. Treatments based on specific, whole-body therapies are becoming common in humans with DJD, but are still not routinely applied in equine cases. Designing targeted therapies for horses requires recognizing habitual postures and movements that are pathological. An important but often missing component for understanding movement postures is accurate and manipulatable anatomical models. In this case study, a three-dimensional model of a horse based on CT data is manipulated using advanced imaging and animation software Autodesk® Maya® to demonstrate the habitual working posture of a horse with DJD of the fetlock joints before, during, and after the application of a whole-body exercise regime focused on rebalancing the forces negatively impacting the hindlimbs. The horse's movement postures throughout the targeted therapy are compared by assessing qualitative and quantitative changes in spinal curvature and fetlock joint angles. This case study serves as proof of concept for the feasibility of modeling working postures before and after rehabilitative therapy for the purpose of demonstrating the effects of physical therapy or training programs. It also provides an example of how data obtained from advanced imaging techniques like computed tomography can be used for veterinary medical breakthroughs that are based on rethinking: (1) the relationship between equine posture/movement and pathological conditions of the musculoskeletal system and (2) related training and rehabilitative strategies.

Indexed as

3D dynamic modelCT dataequinemovementpathomechanicsposturerehabilitationwhole-body analysis

Identifiers

PMID41890152
PMCPMC13014753

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.