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Table 4 The relationship between quantitative analysis methods and age, sex, MRI, L-spine level, and the relationship between quantitative and qualitative methods by linear regression analysis

From: Paraspinal back muscles in asymptomatic volunteers: quantitative and qualitative analysis using computed tomography (CT) and magnetic resonance imaging (MRI)

Variable CSA (mm2) HU Fat fraction (%)
CT MRI CT MRI
B SE p-value B SE p-value B SE p-value B SE p-value
Age −6.00 10.67 0.578 −2.72 9.08 0.767 −0.51 0.15 0.002 0.45 0.11 0.001
Sex
 male 1    1    1    1   
 female − 671.43 127.21 < 0.001 − 568.59 108.02 < 0.001 −11.43 2.04 < 0.001 8.18 1.86 < 0.001
BMI 147.77 20.38 < 0.001 120.46 19.41 < 0.001 1.10 0.54 0.050 −0.87 0.45 0.065
L-spine level 5.61 31.28 0.858 − 158.63 32.58 < 0.001 −4.47 0.52 < 0.001 4.57 0.42 < 0.001
Goutallier grade
 Right − 164.72 51.28 0.002 − 334.02 56.45 0.229 −11.21 0.67 < 0.001 6.13 0.87 < 0.001
 Left − 178.81 56.85 0.002 −345.25 60.74 0.143 −10.98 0.65 < 0.001 6.13 0.87 < 0.001
  1. B Linear regression coefficient, SE Standard error, CSA Cross sectional area, HU Hounsfield unit