ArticleScientific reports2025
MRI-derived articular cartilage strains predict patient-reported outcomes six months post anterior cruciate ligament reconstruction.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Magnetic resonance imaging diagnosis of knee injuries after skiing in adolescents under deep learning.Scientific reports · 2026Article
- Preliminary evaluation of full volume strain measurement in patellar cartilage following osteochondral allograft transplantation using magnetic resonance imaging.Frontiers in bioengineering and biotechnology · 2025Article
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13 authors.
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Abstract
Anterior cruciate ligament (ACL) injuries lead to an increased risk of osteoarthritis (OA). However, efforts to diagnose OA before irreversible changes to the joint occur remain limited. In this work, we utilized both quantitative MRI (qMRI) and displacements under applied loading MRI (dualMRI) to determine if relaxometry measures derived from qMRI and strains derived from dualMRI correlate with patient-reported outcomes at six months post unilateral ACL reconstruction. Quantitative MRI (T2, T2*, T1ρ) measurements and dualMRI strains (transverse, axial, and shear strains) were quantified in the medial articular tibiofemoral cartilage of 35 participants at six-months post unilateral ACL reconstruction. The relationships between patient-reported outcome scores and all MRI metrics were quantified using general linear mixed-effects models and a combined best-fit multicontrast MRI model was then developed. Higher femoral shear and transverse strains were significantly correlated with worse patient-reported outcomes. No relaxometry measures were correlated with patient-reported outcome scores. We identified the best-fit model for predicting patient-reported outcome score using multiple MRI measures and patient-specific information. The best-fit model significantly predicted patient-reported outcome score (p < 0.001, R
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