Abstract #4117

Predicting Pain caused by the Intervertebral Disc Degeneration in Large Animal Model Using CEST MRI Data

Karandeep S Cheema^1,2, Chushu Shen^1,2, Dante Rigo De Righi², Wafa Tawackoli², Yibin Xie², Candace Floyd³, Dmitriy Sheyn⁴, and Debiao Li^1,2

¹Bioengineering, University of California, Los Angeles (UCLA), Los Angeles, CA, United States, ²Biomedical Imaging Research Institute, Cedars Sinai Medical Center, Los Angeles, CA, United States, ³Emergency Medicine, Emory University, Atlanta, GA, United States, ⁴Biomedical Sciences, Cedars Sinai Medical Center, Los Angeles, CA, United States

Synopsis

Keywords: Biomarkers, CEST & MT

Motivation: Use MRI CEST data to predict lower back pain scores in porcine model.

Goal(s): To use a porcine model to correlate MRI-based biomarkers with backpain associated with IVD degeneration.

Approach: IVD injury was induced in the lower three lumbar discs while keeping the upper two intact. MRI scans were performed every 4 weeks upto 16 weeks post injury. Pearson Correlations were used for data analysis.

Results: MTR and Exchange rate signal clearly separate the injured and the healthy disks. There is a positive correlation between higher exchange rate signal and higher back pain while a negative correlation between MTR and pain scores.

Impact: The study bridges the gap between small animal models and human clinical studies by employing a clinically relevant large animal model. The development of MRI-based pain assessment biomarkers is a critical step toward advancing our understanding of lower back pain.

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