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Abstract #4693

Early Detection of Osteoarthritis in the Knee Using Echo Modulation Curve-based T2 Mapping: Analysis in the Osteoarthritis Initiative Dataset.

Elisa Marchetto1,2, Eros Montin1,2, Gregor Koerzdoerfer3, Valentina Mazzoli1,2, Ozkan Cigdem1,2, Cem Deniz1,2, Noam Ben-Eliezer1,2,4,5, and Riccardo Lattanzi1,2
1Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 2Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 3Siemens Medical Solutions, New York, NY, United States, 4Department of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel, 5Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel

Synopsis

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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Keywords