Abstract
Introduction
Low back pain is the world's most disabling condition. Modic changes (MC) are associated with low back pain. These changes are spinal phenotypes that represent vertebral endplate and adjacent marrow changes on MRI. MC are classified into three main types (type I, type II, and type III) and mixed types (type I/II and II/III). Due to methodological biases in previous studies, the morphology, involvement of MC, and their association with other spinal phenotypes remain speculative. As such, the aim of this study was to evaluate the relationship of MC with other spinal MRI phenotypes in a large-scale population-based study.
Materials and Methods
Based on the Hong Kong Disc Degeneration Cohort of Southern Chinese, we assessed the T1- and T2-weighted MRIs of 1,604 subjects (62.4% females; mean age: 49 years) from L1 to S1. The MC assessment included the presence, type, vertical height, and axial area of MC. MC were evaluated as type I, type I/II, type II, type II/III, and type III. Types were regrouped in the analyses as “type I” (types I and I/II) and “type II” (types II and II/III). Very small MC, such as MC in only one sagittal plane, were excluded. Additional imaging phenotype findings were assessed (disc bulges/extrusions, Schmorl nodes, disc degeneration). Disc degeneration was based on the Pfirrmann classification. A degenerative disc disease (DDD) score was tabulated, which represented the global severity of disc degeneration of the lumbar spine. The lumbar spine was further stratified to upper (L1-L4) and lower (L4-S1) regions.
Results
The prevalence of MC was 24.7% (“type I”: 6.3%, “type II”: 15.5%). Of all MC, 77% were at L4-S1. Subjects with MC were older (mean age: 53 vs. 48 years,
Conclusion
Based on one of the largest population-based studies, our findings strengthen the belief that MC are clearly associated with disc pathology, such as disc degeneration, disc bulges/extrusions, and endplate abnormalities (e.g., Schmorl nodes). MC type- and level-related findings in relation to additional MRI phenotypes were also identified. This study further refines the phenotypic classification of MC, which if standardized can have immense utility in studies assessing the role of biomarkers (e.g., genetics) in relation to clinically relevant spinal changes.
None declared
