Introduction
Lumbar intervertebral disc (IVD) degeneration is a leading cause of lower back pain and disability [Peng et. al, 2013]. The Pfirrmann grading system quantitatively measures disc degeneration based on MRI imaging [Pfirrmann et. al, 2001]. We applied SpineNet [Jamaludin et. al, 2017], a pre-trained neural network, on 30,000 T2-weighted lumbar MRIs from the German National Cohort (NAKO), and assessed population-level patterns of Pfirrmann grades. We analyzed these data by age, sex, and self-reported chronic back pain to explore demographic and clinical correlations.
Methods
SpineNet inferred Pfirrmann grades (1–5, with 5 indicating severe degeneration) for each lumbar IVD (L1-S1). These results were grouped by age, sex, and self-reported chronic back pain status (experienced back pain for more than 3 months in the past). We performed statistical analyses to compare the prevalence of high grades (≥4) between subgroups. Differences in prevalence were also examined to assess whether demographic or clinical factors contributed to degenerative patterns.
Results
Discussion
Our findings confirm sex- and age-related differences in lumbar IVD degeneration patterns. The strong association between severe Pfirrmann grades and chronic back pain highlights the clinical relevance of disc degeneration for the study of lumbar spine conditions. This study demonstrates the utility of AI in large-scale population imaging studies, paving the way for better understanding and management of spine degeneration.
References
Peng, B. G. (2013). Pathophysiology, diagnosis, and treatment of discogenic low back pain. World journal of orthopedics, 4(2), 42.
Pfirrmann, C. W., Metzdorf, A., Zanetti, M., Hodler, J., & Boos, N. (2001). Magnetic resonance classification of lumbar intervertebral disc degeneration. spine, 26(17), 1873-1878.
Jamaludin, A., Kadir, T., & Zisserman, A. (2017). SpineNet: automated classification and evidence visualization in spinal MRIs. Medical image analysis, 41, 63-73.
Figures
Figure 1: Prevalence of Pfirrmann grades in females for different age groups as indicated on the right.
Figure 2: Prevalence of Pfirrmann grades in males for different age groups as indicated on the right.