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Published on: August 14, 2019
Diffusion tensor imaging has prognostic value on return to play in hamstring injuries: A prospective cohort study.
Milo J K Mokkenstorm1, Jithsa R Monte2, Jozef J M Suskens3
1Department of Orthopedic Surgery and Sports Medicine, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Movement Sciences, Sports, Amsterdam, the Netherlands; AMC/VUmc IOC Research Center, Amsterdam Collaboration on Health and Safety in Sports (ACHSS), Amsterdam, the Netherlands; Academic Center for Evidence-Based Sports Medicine (ACES), Amsterdam, the Netherlands.
Diffusion tensor imaging (DTI) parameters can help predict return to play (RTP) time after hamstring injuries. Radial diffusivity and fractional anisotropy showed the most added value for prognosis.
Area of Science:
- Sports Medicine
- Radiology
- Biomedical Engineering
Background:
- Predicting return to play (RTP) after hamstring injuries is challenging.
- Diffusion tensor imaging (DTI) can detect muscle micro-trauma, potentially improving RTP prediction.
Purpose of the Study:
- To assess the predictive capability of DTI-derived metrics for RTP prognosis in athletes with hamstring injuries.
- To determine the added value of DTI parameters compared to conventional MRI classifications.
Main Methods:
- Prospective cohort study including athletes with acute hamstring injuries.
- 3T MRI with DTI acquisition within 7 days of injury.
- Calculation of DTI parameters (eigenvalues, mean diffusivity, radial diffusivity, fractional anisotropy) and correlation with self-reported RTP time using linear regression.
Main Results:
- 91 athletes were analyzed, with a median RTP of 37 days.
- All DTI parameters showed univariate associations with RTP time, explaining 5.4–15.0% of variance.
- Multivariate analysis indicated independent associations between most DTI parameters and RTP time.
Conclusions:
- DTI parameters are associated with RTP time after hamstring injury.
- DTI parameters, particularly those reflecting radial diffusivity, offer significant added value for predicting RTP prognosis.
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