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. 2019 Jan 10;29(5):2616–2623. doi: 10.1007/s00330-018-5914-0

Table 3.

Discriminatory accuracy of extrusion cut-offs

OA structural feature
Radiographic OA
Cut-off 3 mm 4 mm
Sensitivity 81 (73–87) 63 (60–65)
Specificity 49 (45–52) 82 (81–83)
Positive predictive value 24 (20–27) 41 (40–43)
Negative predictive value 93 (90–95) 92 (91–92)
% correctly classified 54 (51–57) 79 (78–80)
BML
Cut-off 3 mm 4 mm
Sensitivity 74 (68–79) 46 (43–48)
Specificity 51 (47–55) 79 (77–81)
Positive predictive value 37 (33–41) 48 (46–50)
Negative predictive value 83 (79–87) 79 (78–79)
% correctly classified 57 (54–61) 70 (68–71)
Cartilage damage
Cut-off 3 mm 4 mm
Sensitivity 68 (63–73) 39 (37–41)
Specificity 54 (49–58) 84 (82–85)
Positive predictive value 54 (50–59) 67 (65–69)
Negative predictive value 67 (63–72) 63 (62–64)
% correctly classified 60 (57–63) 64 (63–65)

Numbers are estimated as % with 95% confidence intervals in parentheses. Radiographic osteoarthritis (OA) = Kellgren and Lawrence (KL) grade ≥ 2, bone marrow lesions (BML) = WORMS grade ≥ 1, and cartilage damage = WORMS grade ≥ 2