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. 2019 May 28;9:7973. doi: 10.1038/s41598-019-44416-8

Figure 3.

Figure 3

Associations between convolutional neural network (CNN) muscle volume and muscle fat infiltration (MFI) and the clinical measures of pain and neck-related disability. Pain and neck-related disability were assessed using the numerical pain rating scale (NPRS) and the neck disability index (NDI), respectively. (A) Muscle volume was significantly negatively correlated with both pain and neck-related disability. A non-significant positive correlation between MFI and neck-related disability was present but not between MFI and pain. (B) The dataset was then split into groups of recovered (NDI ≤ 28, n = 19) versus persisting (NDI > 28, n = 20) whiplash using the NDI at 3 months post motor vehicle collision. The persisting group had significantly higher pain and neck-related disability compared to the recovered group. MFI was significantly higher in the persisting group compared to the recovered group. Muscle volume and MFI were corrected for age, gender, and body mass index. Error bars = 1 standard deviation. *p < 0.05, ***p < 0.001.