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Updated: Jan 20, 2026

Assessment of Bone Fracture Healing Using Micro-Computed Tomography
Published on: December 9, 2022
Risk assessment for condylar stress fracture in elite racing Thoroughbreds using standing computed tomography-based
Nicola L Brown1, Soroush Irandoust1,2, Elleana J Thom1,2
1Department of Surgical Sciences, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Finite element analysis of Thoroughbred racehorses identified increased strain in areas of subchondral bone injury (SBI), correlating with subjective risk assessments. This suggests a potential for objective fracture risk evaluation in racehorses.
Area of Science:
- Equine orthopedics
- Biomechanics
- Veterinary radiology
Background:
- Condylar stress fractures of the third metacarpal bone (MC3) are common in Thoroughbred racehorses, linked to parasagittal groove (PSG) subchondral bone injury (SBI).
- Standing computed tomography (sCT) detects early SBI, but objective methods for identifying high-risk horses are lacking.
Purpose of the Study:
- To estimate PSG first principal strain in Thoroughbred racehorses using sCT screening.
- To compare finite element (FE) analysis strain predictions with subjective clinical risk assessments.
Main Methods:
- Retrospective study using sCT images from nine thoracic limbs of seven Thoroughbred racehorses.
- A validated 3D finite element (FE) analysis estimated PSG first principal strain in the distal MC3.
- FE results were compared with subjective risk assessment by Racing Victoria.
Main Results:
- MC3 condyles with PSG SBI showed significantly higher first principal strain compared to unaffected condyles.
- Focal strain concentrations were identified at SBI locations.
- FE-predicted strain elevation and clinical risk assessment showed concordance (R² = 0.62).
Conclusions:
- 3D FE analysis shows potential for objective assessment of MC3 condylar stress fracture risk in racehorses.
- Further automation of the FE analysis pipeline is needed for clinical relevance.
- Current sCT screening and FE analysis demonstrate concordance in risk assessment.
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