Abstract #4228

Evaluation of Dixon MRI Methods for Quantitative Assessment of Thigh Muscle Fatty Infiltration in Post-Traumatic Osteoarthritis

Brendan L. Eck^1,2, Richard Lartey^1,3, Dongxing Xie^1,3, Jeehun Kim^1,3, Carl S. Winalski^1,2,3, Bruce M. Damon⁴, Xiaodong Zhong⁵, Kecheng Liu⁵, Dimitris Karampinos⁶, Faysal Altahawi^1,2, Morgan H. Jones^1,7, Kurt P. Spindler^1,7, and Xiaojuan Li^1,2,3

¹Program of Advanced Musculoskeletal Imaging, Cleveland Clinic, Cleveland, OH, United States, ²Diagnostic Radiology, Cleveland Clinic, Cleveland, OH, United States, ³Biomedical Engineering, Cleveland Clinic, Cleveland, OH, United States, ⁴Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, ⁵MR R&D Collaborations, Siemens Medical Solutions USA, Inc., Malvern, PA, United States, ⁶Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany, ⁷Orthopaedic Surgery, Orthopaedics and Rheumatology Institute, Cleveland Clinic, Cleveland, OH, United States

Fatty infiltration in thigh skeletal muscle is a potential biomarker of osteoarthritis and post-traumatic osteoarthritis. Quantification of fatty infiltration is possible by Dixon MRI but is dependent on acquisition and processing. We evaluated five acquisition and processing techniques for reproducibility in phantom and healthy controls. Patients at 10-years post-ACL reconstruction were scanned to evaluate the potential for these techniques to detect thigh muscle fatty infiltration. Monopolar gradient acquisition and magnitude image-based processing improved the robustness of fat fraction quantification. Vendor-independent magnitude-based processing and vendor inline processing similarly quantified elevated fat fraction in the hamstring muscles of patients' ACL reconstructed legs.

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