Contribution of Lumbar Spine Pathology and Age to Paraspinal Muscle Size and Fatty Infiltration
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Citations
Manually defining regions of interest when quantifying paravertebral muscles fatty infiltration from axial magnetic resonance imaging: a proposed method for the lumbar spine with anatomical cross-reference
Lumbar multifidus muscle degenerates in individuals with chronic degenerative lumbar spine pathology.
Trunk Muscle Characteristics of the Multifidi, Erector Spinae, Psoas, and Quadratus Lumborum in Older Adults With and Without Chronic Low Back Pain
Lumbar paraspinal muscle fat infiltration is independently associated with sex, age, and inter-vertebral disc degeneration in symptomatic patients.
Association of paraspinal muscle water–fat MRI-based measurements with isometric strength measurements
References
Epidemiological features of chronic low-back pain
OsiriX: An Open-Source Software for Navigating in Multidimensional DICOM Images
Orthopedic Physical Assessment
Longitudinal study of muscle strength, quality, and adipose tissue infiltration
CT imaging of trunk muscles in chronic low back pain patients and healthy control subjects.
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Frequently Asked Questions (12)
Q2. What future works have the authors mentioned in the paper "Contribution of lumbar spine pathology and age to paraspinal muscle size and fatty infiltration" ?
Further research is required to elucidate the underlying mechanisms of age versus pathology related changes in muscle quality and their functional implications.
Q3. What is the effect of age on fatty infiltrate in the lumbar spine?
Although CSA is greater in men than women, it does not decline with age, whereas fatty infiltrate increases with age and pathology in both muscles.
Q4. What is the reason why the patients were excluded from the analyses?
From the initial 236 patients queried, 37 patients were excluded from the analyses; 17 patients were excluded due to existence of instrumentation at the L4 level affecting MR signal intensity analyses, 7 were excluded due to CPT codes unrelated to LBP or degenerative pathology (i.e. skinCopyright © 2016 Wolters Kluwer Health, Inc. Unauthorized reproduction of this article is prohibited.
Q5. What is the effect of age on muscle size and quality?
Prior literature suggests that LBP and pathology alters CSA and fatty infiltration, with moststudies demonstrating decreases in muscle size and increases in fatty infiltration in those with symptoms compared to their healthy counterparts(13-15).
Q6. What was the CSA of the lumbar vertebra?
Regions of interest from T2-weighted axial magnetic resonance images taken from a singleslice estimated to be closest to the midlevel of the L4 vertebra were used to measure muscle CSA and fat content with custom written Matlab software (Mathworks, Natick MA).
Q7. What was the trend for the slope of the erector spinae?
There was a trend towards a steeper slope in women with pathology compared to women without pathology for both multifidus (p=0.08) and erector spinae muscles (p=0.08), such that women with pathology displayed more age-related increases in FSF (Figure 4b,d).
Q8. Why were there no comparisons between normal and pathological trajectories for CSA?
Due to differences in analytical methods for measuring muscle size, comparisons betweennormal and pathological trajectories for CSA were not performed (Figure 4).
Q9. What were the predictors of FSF in the multifidus?
Age and gender were significant predictors of FSF in the multifidus (age β = 0.004, gender β = 0.0600; p<0.0001) whereas only age predicted FSF in the erector spinae (Age β = 0.0040, p<0.0001, gender β = 0.0201; p=0.15) muscle (Figure 3a-b).
Q10. What was the CSA analysis of the lumbar spine?
For CSA measurements, regions of interest for both multifidus and erector spinae muscles were seeded and segmented bilaterally using Osirix software (22), based on fascial plane separations using the facet joint as a landmark between the multifidus and erector spinae, and the lumbosacral fascia posteriorly(23) (Figure 2a).
Q11. What did the authors do to determine the effect of age on the slope of the ere?
Recognizing that differences in age range between the population in the current study and the healthy cohort may affect the results, the authors also performed sub-comparisons using only patients under the age of 65 (N=129), yielding similar main effects of age and sex.
Q12. What was the effect of age on CSA?
Linear regression model results demonstrated no effect of age on muscle CSA (β = -0.0002 and -0.0118 for multifidus and erector spinae respectively, p>0.59), but a significant gender effect for multifidus (β = -2.26, p<0.0001) and erector spinae muscle CSA (β =-3.19, p<0.0001) where men displayed a larger CSA for both spine muscles (Figure 3c-d).