CROSS-SECTIONAL STUDIES |
Rocca et al. (95) |
335 with MS |
[3D T1w/active surface method] |
|
Cord CSA correlated with EDSS in patients with RRMS (r = −0.30; p = 0.001), SPMS (r = −0.34; p = 0.001), and PPMS (r = −0.27; p = 0.01), but not in patients with CIS or benign MS
|
Biberacher et al. (91) |
267 with CIS or RRMS |
[3D T1w/FSL software] |
|
|
Weier et al. (102) |
202 with MS |
[T2w/visual assessment] |
|
|
Daams et al. (92) |
196 with MS |
[3D T1w/semi-automated method] |
EDSS
T25FW
9HPT
Cord Functional Score
|
|
Bernitsas et al. (90) |
150 with MS |
[3D T1w/Losseff semi-automated method (104)] |
|
Significant correlation between CSA-C2 and EDSS (r = −0.75; p < 0.0001)
Multivariable regression showed that CSA-C2 was a significant predictor of disability independent of disease duration and phenotype (p < 0.0001)
|
Oh et al. (94) |
133 with MS |
[3D T1w/fully automated segmentation protocol (105)] |
|
Correlations between clinical measures (EDSS: r = −0.20, p = 0.02; MSFC: r = 0.16, p = 0.06; hip flexion strength: r = 0.35, p = 0.0001; vibration threshold: r = −0.19, p = 0.03) and cord volume
|
Yiannakas et al. (99) |
120 with MS (40 in longitudinal subgroup; 1-year follow-up) |
[3D T1w/Propseg vs semi-automated active surface method] |
|
Baseline CSA was significantly associated with baseline clinical variables (both segments) (p < 0.001 for all)
CSA measures at 1 year were significantly associated with ASIA motor and sensory scores only (p = 0.048 to p = 0.001)
Baseline CSA for both segments predicted ASIA motor scores at 1 year (p ≤ 0.003)
|
Schlaeger et al. (96) |
113 with MS |
Spinal cord WM area (C2/C3)
Spinal cord GM area (C2/C3)
Upper cervical cord CSA (C2/C3)
[2D PSIR/Active surface method] |
|
GM, WM, and cord CSA significantly correlated with EDSS (r = −0.60, −0.32, and −0.42, respectively; all p ≤ 0.001) and T25FW (r = −0.50, −0.28, and −0.36, respectively; p < 0.001, p = 0.004 and p < 0.001, respectively)
GM area (r = −0.37) and cord CSA (r = −0.22) significantly correlated with 9HPT (p < 0.001 and p = 0.024, respectively)
GM area was the strongest correlate of disability in multivariate models
|
Rocca et al. (106) |
77 with MS |
[3D T1w/voxel-based analysis, active surface method] |
|
SPMS: cord atrophy at C1/C2 correlated with pyramidal FSS (r = −0.91; p < 0.001)
PPMS: cord atrophy at C1/C2 correlated with EDSS (r = −0.68) and pyramidal FSS (r = −0.89) (p < 0.001)
No correlation between regional cord atrophy and clinical variables for other MS phenotypes
|
Valsasina et al. (98) |
71 with RRMS or SPMS |
[3D T1w/voxel-based analysis, active surface method] |
|
|
Benedetti et al. (100) |
68 with benign MS or SPMS |
[3D T1w/semi-automated method of Losseff (104)] |
|
|
Horsfield et al. (93) |
40 with RRMS or SPMS |
[3D T1w/semiautomatic active surface vs Losseff method (104)] |
|
|
Healy et al. (101) |
34 with MS |
C2–3 volume
Cervical cord volume
Thoracic cord volume
Whole cord volume
[T2-weighted sequence/JIM software] |
|
|
Song et al. (97) |
29 with MS |
[3D T1w and T2w/semi-automated software (107)] |
|
|
Blamire et al. (103) |
11 |
[T1w/Jim software] |
|
|
LONGITUDINAL STUDIES |
Valsasina et al. (89) |
35 with MS (mean follow-up, 2.3 years) |
[3D T1w/active surface method vs Losseff method] |
|
At baseline, there was a significant correlation between EDSS and both methods used to measure CSA (AS method: r = −0.59; p < 0.001; Losseff method: r = −0.40; p = 0.01)
At follow-up, AS cord CSA (but not CSA evaluated using the Losseff method) correlated with EDSS (r = −0.50; p = 0.002)
|