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. 2021 Jun 12;61(3):1072–1082. doi: 10.1093/rheumatology/keab483

Table 3.

Diagnostic accuracy of PMR-PET scores and algorithms

AUC (95% CI) Cut-off values Sensitivity (95% CI) Specificity (95% CI) DOR (95% CI) LR+ (95% CI) LR– (95% CI)
Leuven Score 0.914 (0.815, 100.0) Predefined by Henckaerts et al. 16 89.7 (75.8, 97.1) 84.2 (60.4, 96.6) 46.67 (9.33, 233.36) 5.68 (2.00, 16.14) 0.12 (0.05, 0.31)
Youden Index current study 15 92.3 (79.1, 98.4) 84.2 (60.4, 96.6) 64.00 (11.63, 352.17) 5.85 (2.06, 16.58) 0.09 (0.03, 0.28)
Besançon Score (sum) 0.889 (0.778, 1.000) Predefined by Sondag et al. 3 100.0 (91.0, 100.0) 63.2 (38.4, 83.7) 131.67 (7.01, 2472.10) 2.63 (1.49, 4.64) 0.02 (0.00, 0.32)
Youden Index current study 7 89.7 (75.8, 97.1) 84.2 (60.4, 96.6) 46.67 (9.33, 233.36) 5.68 (2.00, 16.14) 0.12 (0.05, 0.31)
Besançon Score (mean) 0.901 (0.791, 1.000) Predefined by Sondag et al. 0.53 100.0 (91.0, 100.0) 47.4 (24.4, 71.1) 71.48 (3.84, 1330.70) 1.88 (1.24, 2.86) 0.03 (0.00, 0.43)
Predefined by Amat et al. 0.765 100.0 (91.0, 100.0) 63.2 (38.4, 83.7) 131.67 (7.01, 2472.10) 2.63 (1.49, 4.64) 0.02 (0.00, 0.32)
Youden Index current study 1.324 87.2 (72.6, 95.7) 89.5 (66.9, 98.7) 57.80 (10.14, 329.34) 8.28 (2.22, 30.89) 0.14 (0.06, 0.33)
Saint-Etienne Algorithm NA NA NA 100.0 (91.0, 100.0) 42.1 (20.3, 66.5) 58.39 (3.13, 1090.00) 1.72 (1.18, 2.51) 0.03 (0.00, 0.48)
Heidelberg Algorithm NA NA NA 89.7 (75.8, 97.1) 78.9 (54.4, 93.9) 32.81 (7.23, 148.85) 4.26 (1.77, 10.25) 0.13 (0.05, 0.34)

Diagnostic accuracy was determined for all three PMR-PET scores at the reported cut-off values. In addition, the diagnostic accuracy was evaluated at optimal cut-off values obtained by receiver operating characteristics (ROC) analysis and the Youden Index in the current study. Area under the curve (AUC) in the ROC analysis, sensitivity, specificity, diagnostic odds ratio (DOR), positive likelihood ratio (LR+) and negative likelihood ratio (LR–) are provided along with their 95% CI. NA = not applicable.