Background
Magnetic resonance imaging (MRI) is a noninvasive technology that can quantitatively access ACL graft size and signal intensity. However, how those properties relate to reconstructed or repaired ligament strength during the healing process is yet unknown.
Purpose
We hypothesized that MR derived measures of graft volume and signal intensity are significant predictors of the structural properties of a healing ACL or ACL graft after 15 weeks and 52 weeks of healing.
Study Design
Controlled Laboratory Experiment
Methods
The current data were gathered from two experiments evaluating ACL reconstruction and repair techniques. In the first experiment, pigs underwent unilateral ACL transection and received: 1) ACL reconstruction, 2) ACL reconstruction with collagen platelet composite (CPC), or 3) no treatment. The surgical legs were harvested following 15 weeks of healing. In the second experiment, pigs underwent ACL transection and received: 1) ACL reconstruction, 2) ACL reconstruction with CPC, 3) bio-enhanced ACL primary repair with CPC, or 4) no treatment. The surgical legs were harvested after 52 weeks. The harvested knees were imaged using a T2* weighted 3D-CISS sequence. Each ligament was segmented from the scans, and the intra-articular volume and the median grayscale values were determined. Mechanical testing was performed to establish the ligament structural properties.
Results
Volume significantly predicted the structural properties (maximum load, yield load, linear stiffness) of the ligaments and grafts (R2 = 0.56, 0.56, 0.49; p≤0.001). Likewise, the median grayscale values significantly predicted the structural properties of the ligaments and grafts (R2 = 0.42, 0.37, 0.40; p<0.001). The combination of these two parameters in a multiple regression model improved the predictions (R2 = 0.73, 0.72, 0.68; p≤0.001).
Conclusion
Volume and grayscale values from high resolution T2* weighted MRI images are predictive of structural properties of the healing ligament or graft in a porcine model.
Clinical Relevance
This study provides a critical step in the development of a non-invasive method to predict the structural properties of the healing ACL graft or repair. This technique may prove beneficial as a surrogate outcome measure in pre-clinical animal and clinical studies.