Keywords: Osteoarthritis, Osteoarthritis, T2-Mapping, Cartilage, Knee-MRI
Motivation: Early detection of knee osteoarthritis relies on sensitive biomarkers for cartilage changes, yet conventional mono-exponential T2 mapping models are not accurate due to unaccounted physical effects.
Goal(s): To implement and evaluate Echo-Modulation-Curves (EMC) T2 fitting to improve reproducibility and predictive power for early detection of osteoarthritis compared to standard models.
Approach: T2 maps were estimated using mono-exponential (with and without the first echo), and EMC fitting. Reproducibility was assessed with Bland-Altman analysis, while predictive performance was evaluated using logistic regression and ROC analysis.
Results: EMC fitting outperformed mono-exponential methods in both reproducibility and predictive accuracy, demonstrating stronger discrimination between controls and osteoarthritis incidence.
Impact: EMC T2 fitting shows higher reproducibility and sensitivity in detecting early OA in the knee cartilage compared to mono-exponential models, suggesting that accurate T2 estimation can help identifying cartilage changes before radiographic evidence, potentially enabling earlier intervention strategies.
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