Paraspinal muscles in low back pain: Comparison between standard parameters and chemical shift encoding-based water-fat MRI
Nico Sollmann1,2,3, Noah B. Bonnheim4, Gabby B. Joseph1, Ravi Chachad1, Jiamin Zhou1, Jeannie F. Bailey4, Xiaojie Guo4, Ann A. Lazar5, Thomas M. Link1, Aaron J. Fields4, and Roland Krug1
1Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 2Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Germany, 3Department of Diagnostic and Interventional Neuroradiology, Technical University of Munich, Munich, Germany, 4Department of Orthopaedic Surgery, University of California San Francisco, San Francisco, CA, United States, 5Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States
Low back pain (LBP) is a global health burden, and up to 90% of affected patients are diagnosed with non-specific LBP. A structure increasingly recognized as a potential contributor to LBP is paraspinal musculature (PSM). In this study we revealed that the fat fraction (FF) of PSM derived from chemical shift encoding-based water-fat MRI (CSE-MRI) is associated with the Goutallier classification (GC) at each lumbar level as well as with self-reported pain. In contrast, other parameters (muscle volume, lumbar indentation value [LIV], muscle-fat index [MFI]) do not significantly correlate to the FF, despite being frequently used to evaluate PSM quality.
This abstract and the presentation materials are available to members only;
a login is required.