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. 2021 May 28;7(2):e001656. doi: 10.1136/rmdopen-2021-001656

Table 2.

Cross table, sensitivity (SE), specificity (SP), likelihood ratio (LR) and diagnostic accuracy

Erosions CT+ CT− Diagnostic accuracy Likelihood ratio Intermodality
T1+ 28 7 SE 73.68% 56.9%–86.6% LR− 0.28 Agreement 87.5%
T1− 10 91 SP 92.86% 85.84%–97.08% LR+ 10.32 Cohen’s k 0.682 0.54–0.82
SWI+ 31 3 SE 81.58% 65.67%–92.26% LR− 0.19 Agreement 92.6%
SWI− 7 95 SP 96.94% 91.31%–99.36% LR+ 26.65 Cohen’s k 0.811 0.7–0.92
Sclerosis CT+ CT−
T1+ 16 0 SE 23.88% 14.31%–35.86% LR− 0.76 Agreement 62.5%
T1− 51 69 SP 100.0% 94.79%–100.0% LR+ Cohen’s k 0.241 0.13–0.35
SWI+ 50 5 SE 74.63% 62.51%–84.47% LR− 0.27 Agreement 84.6%
SWI− 17 64 SP 92.75% 83.89%–97.61% LR+ 10.30 Cohen’s k 0.69 0.57–0.81
Joint space changes CT+ CT−
T1+ 26 7 SE 70.27% 53.02%–84.13% LR− 0.32 Agreement 86.8%
T1− 11 92 SP 92.93% 85.97%–97.11% LR+ 9.94 Cohen’s k 0.654 0.5–0.8
SWI+ 28 10 SE 75.68% 58.8%–88.23% LR− 0.27 Agreement 86%
SWI− 9 89 SP 89.9% 82.21%–95.05% LR+ 7.49 Cohen’s k 0.65 0.51–0.79

All values were calculated using CT as standard of reference or in comparison with CT (absolute agreement and Cohen’s kappa). Agreement of SWI with CT was significantly higher for sclerosis (p<0.001) and tended to be higher for erosions (p=0.143), while there was no difference for joint space changes (p=1).

Bold text have been used to mark the subsection headings of the table.

SWI, susceptibility-weighted imaging.