Abstract #1031

Paraspinal muscles in low back pain: Comparison between standard parameters and chemical shift encoding-based water-fat MRI

Nico Sollmann^1,2,3, 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

Synopsis

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.

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