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Updated: Jun 16, 2025

In Vivo Imaging and Tracking of Technetium-99m Labeled Bone Marrow Mesenchymal Stem Cells in Equine Tendinopathy
Published on: December 9, 2015
Current and Emerging Quantitative Imaging Modalities for Diagnosing and Monitoring Equine Tendon and Ligament
Rebecca Urion1, Meghann Lustgarten2, Eric T Hostnik1
1Department of Veterinary Clinical Sciences, The Ohio State University Veterinary Medical Center, 601 Vernon L. Tharp Street, Columbus, OH 43210, USA.
Advanced imaging techniques like elastography, CT, and MRI offer improved diagnostics for equine soft tissue injuries. These methods enhance early detection, structural assessment, and healing monitoring for horses, surpassing traditional approaches.
Area of Science:
- Veterinary Medicine
- Diagnostic Imaging
- Equine Sports Medicine
Background:
- Traditional imaging methods have limitations in diagnosing equine tendon and ligament injuries.
- Technological advancements are crucial for improving diagnostic accuracy in equine musculoskeletal conditions.
Purpose of the Study:
- To review advanced imaging modalities for equine soft tissue injuries.
- To highlight the benefits of elastography, CT, and MRI in equine diagnostics.
- To address the limitations of conventional imaging methods.
Main Methods:
- Review of elastography techniques in ultrasonography for tissue stiffness and strain.
- Examination of computed tomography (CT) innovations, including PET/CT fusion and dual-energy CT.
- Exploration of diffusion-weighted MRI for fiber microstructure and functionality assessment.
Main Results:
- Elastography provides insights into tissue mechanical properties.
- Advanced CT techniques offer enhanced anatomical and metabolic information.
- Diffusion-weighted MRI evaluates tissue microstructure and functional integrity.
- These modalities complement each other for comprehensive injury assessment.
Conclusions:
- Advanced imaging techniques significantly improve the diagnosis and management of equine soft tissue injuries.
- These methods enable earlier detection, better structural integrity assessment, and monitoring of healing.
- Veterinarians gain improved tools for predicting functional outcomes in equine injuries.
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