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Association of MRI Findings with Paraspinal Muscles Fat Infiltration in Patients with Chronic Low Back Pain: A Multicenter Study
Jingrui Hong1, Heyi Gu1, Yilong Huang1, Bo He1, Zhenguang Zhang1, and Lisha Nie2
1The First Affliated Hospital of Kunming Medical University, Yun Nan, China, 2GE HealthCare MR Research, Beijing, China

Synopsis

Keywords: fMRI Analysis, fMRI

Motivation: Understanding the link between paraspinal muscle changes and common causes is crucial for improving treatment approaches for chronic lower back pain (CLBP), which has diverse underlying factors.

Goal(s): Assessing the relationship between MRI findings and paraspinal muscle changes in patients with CLBP.

Approach: We prospectively collected lumbar spine MRI images from CLBP patients. Analyses assessed correlations and regressions between MRI findings and paraspinal muscle cross-sectional area (CSA) and proton density fat fraction (PDFF).

Results: Degenerative lumbar spondylolisthesis (DLS) and intervertebral disc degeneration (IVDD) have a significant impact on the increase in the PDFF of paraspinal muscles.

Impact: This study provides valuable insights for clinicians, enabling them to implement targeted interventions for CLBP patients based on specific MRI findings and key characteristics of muscle remodeling. By improving prevention and treatment approaches.

Introduction

CLBP poses challenges in developing effective prevention and treatment strategies due to its diverse etiology. Common causes of CLBP include IVDD, disc herniation, DLS, facet joint disease, and spinal stenosis1-9. However, The link between these causes and paraspinal muscle fat infiltration in CLBP patients is still debated. It's uncertain if these associations are most prominent individually. Also, the impact of severity or the combination of factors and MRI-identified issues on these links is unclear. This study explores links between lumbar degenerative conditions, paraspinal muscles, and CLBP. Through this, we seek to comprehend their role in CLBP development better. This knowledge can help uncover the underlying mechanisms of CLBP and guide the development of more effective treatment strategies.

Methods

The study obtained institutional review board approval and verbal consent from all participants. The CLBP patient cohort came from four healthcare facilities based on specific criteria. All MR examinations utilized a 3.0T MR scanner (Discovery MR 750, GE Healthcare Systems, Milwaukee, WI, USA) equipped with a 24-channel phased-array spine coil. The sequences include sagittal T2-weighted imaging, T1-weighted imaging, axial T2WI, and the IDEAL-IQ sequence.MRI findings encompassed assessments of DLS, IVDD, facet arthrosis, disc bulge, and disc herniation in regular sequences. Multifidus (MF) and erector spinae (ES) CSA and PDFF were evaluated in IDEAL-IQ sequences, specifically at the mid-levels of the L4/5 and L5/S1 intervertebral discs(Figure 1). Muscle fascia and attachment points were delineated using GE Healthcare's Advantage Workstation 4.6. Statistical analysis was carried out using SPSS 26.0 software (IBM Corp, Armonk, NY, USA). Pearson and Spearman's correlations assessed MRI findings' relation to paraspinal muscle changes in CLBP patients. Univariate and multivariate regression identified risk factors for paraspinal muscle fat infiltration, adjusting for age, sex, and BMI in CLBP patients.

Results

A total of 493 CLBP patients were included in the study. correlation analysis results indicate that IVDD, facet arthrosis, and DLS at the L4-S1 level, are correlated with the PDFF of paraspinal muscles. Multivariate regression analysis indicates that IVDD is the primary factor influencing the paraspinal muscle PDFF at the L4-S1 level (BES at L4/5=1.845, P<0.05); DLS was a factor affecting the PDFF of MF at the L4/5 level (B=4.774, P<0.05). After including age, gender, and BMI,The above-mentioned impact on paraspinal muscle PDFF is no longer statistically significant.(Figure 2 and Figure 3)

Discussion

Our study's linear regression findings suggest that disc bulge/herniation at the L4/L5 level affects nearby paraspinal muscles, consistent with previous single-factor research on muscle fat infiltration. However, when combined with other factors in multivariate analysis, disc bulge/herniation doesn't independently influence muscle fat infiltration. Additionally, IVDD and DLS are significant influencing factors for fat infiltration of the paraspinal muscles. Nevertheless, after adjusting for factors that could potentially influence muscle fat as control variables, the effects of IVDD and DLS on paraspinal muscle fat infiltration have disappeared. Previous studies have reported that age and gender affect overall muscle mass, which further affects back muscle atrophy and fat infiltration, and as age increases, fat infiltration increases 2, 10 One study found that women have more fat infiltration in the MF and ES muscles at the L4-S1 levels, as well as men have more fat infiltration in the PS at the L5/S1 level3, which may be related to the decrease in muscle function due to hormone deficiency after menopause12, 13 and the chosen level of the intervertebral disc8. While the association between paraspinal muscle fat infiltration and BMI remains a matter of debate8, 12, 14 In conjunction with the above research results and existing pieces of literature, our study further substantiates that age, gender, and BMI are important factors for the degree of paraspinal muscle fat infiltration in CLBP patients. Before adjusting these personal factors as covariates, the significant influence exhibited by DLS and the IVDD on paraspinal muscle fat infiltration shown in this study was confounded by the overlapping influence of age, gender, and BMI on the degree of muscle fat infiltration. We argue that the clinical significance of individual factors in paraspinal muscle quality changes is uncertain. Associations seen in prior single-factor studies could be coincidental.

Conclusion

In conclusion, our MRI findings in CLBP patients indicate that DLS and the IVDD have a significant impact on the increase in paraspinal muscle PDFF. Additionally, age, gender, and BMI are important factors influencing the degree of muscle fat infiltration in CLBP patients.

Acknowledgements

No acknowledgement found.

References

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Figures

Figure 1 The axial position of L4/5 lumbar disc based on IDEAL-IQ in MRI. (A)PDFF maps of paraspinal muscles;(B)manual segmentation of paraspinal muscles, MF (red) and ES (blue).

Figure 3 Linear regression analysis between different MRI manifestations and paravertebral muscle PDFF. Red represents p<0.05, and black indicates p>0.05;MF, multifidus; ES, erector spinae; PSM, paraspinal musculature; DLS, Degenerative lumbar spondylolisthesis; IVDD, Intervertebral disc degeneration.

Figure 2 Heatmap showing the r-index between the CSA and PDFF of paraspinal muscles and different MRI findings in CLBP patients. For each tile, the darker the color, the stronger the correlation. a indicates point biserial correlation analysis, and b indicates Spearman correlation analysis.*, indicates P < 0.05; MF, multifidus; ES, erector spinae; PSM, paraspinal musculature; DLS, Degenerative lumbar spondylolisthesis; IVDD, Intervertebral disc degeneration.

Proc. Intl. Soc. Mag. Reson. Med. 32 (2024)
1710
DOI: https://doi.org/10.58530/2024/1710