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An approach to imaging algorithms for equine lameness diagnosis
Elizabeth M Charles1, Norman W Rantanen
1Western University of Health Sciences, College of Veterinary Medicine, PO Box 38, Temecula, CA 92593, USA. echarles@westernu.edu
The Veterinary Clinics of North America. Equine Practice
|November 27, 2012
Summary
A systematic approach to equine lameness diagnosis is crucial with advanced imaging. This framework guides selecting the best diagnostic imaging modality based on case specifics and client needs.
Area of Science:
- Veterinary Medicine
- Equine Diagnostic Imaging
- Lameness Evaluation
Background:
- Equine diagnostic imaging has rapidly advanced.
- Lameness diagnosis requires a structured approach.
- Client parameters and case details are vital.
Purpose of the Study:
- To present a systematic framework for selecting diagnostic imaging modalities in equine lameness.
- To provide an algorithmic foundation for imaging modality selection.
- To illustrate the application of this approach with case examples.
Main Methods:
- Review of current equine diagnostic imaging modalities.
- Development of a systematic, algorithmic framework.
- Application of the framework to clinical case scenarios.
Main Results:
- A structured approach enhances the utility of diagnostic imaging in lameness.
- The framework aids in choosing appropriate imaging modalities.
- Case examples demonstrate practical application.
Conclusions:
- A systematic, algorithmic approach is essential for effective equine lameness diagnosis using advanced imaging.
- Understanding case specifics and client needs is key to selecting the right imaging modality.
- This framework offers a practical guide for veterinarians.
