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Table 3 Diagnostic performance of US and MRI for evaluating cartilaginous defects on different surfaces

From: A novel ultrasound scanning approach for evaluating femoral cartilage defects of the knee: comparison with routine magnetic resonance imaging

Surface TP# TN# FP# FN# Sensitivity (95%CI) (%) Specificity (95%CI) (%) Accuracy (95%CI) (%) Crude predictive value (95%CI) (%) Adjusted predictive value (%) AUC (95%CI)
PPV NPV PPV NPV  
US Radiologist 1
 TS 31 25 2 7 81.6 (69.3–93.9) (0.317) 92.6 (82.7–102) (1.000) 86.2 (77.8–94.6) (1.000) 93.9 (85.5–102) (1.000) 78.1 (63.8–92.4) (1.000) 92.2 82.3 0.871 (0.791–0.951)
 MC 20 22 3 20 50.0 (34.5–65.5) (0.005) 88.0 (75.3–101) (0.046) 64.6 (53.0–76.2) (0.058) 87.0 (73.2–100) (0.310) 52.4 (37.3–67.5) (0.251) 81.8 62.0 0.690 (0.588–0.792)
 LC 18 31 1 15 54.5 (37.6–71.5) (0.083) 96.9 (90.8–103) (0.317) 75.4 (64.9–85.9) (0.046) 94.7 (84.7–105) (1.000) 67.4 (53.8-80.9) (0.818) 95.0 66.4 0.757 (0.666–0.849)
US Radiologist 2
 TS 35 24 3 3 92.1 (83.5–101) (0.025) 88.9 (77.0–101) (0.317) 90.8 (83.7–97.8) (0.424) 92.1 (83.5–101) (1.000) 88.9 (77.0–101) (0.315) 90.0 91.3 0.905 (0.831–0.979)
 MC 22 22 3 18 55.0 (39.6–70.4) (0.248) 88.0 (75.3–101) (0.014) 67.7 (56.3–79.1) (0.157) 88.0 (75.3–101) (0.424) 55.0 (39.6–70.4) (0.352) 83.2 64.4 0.715 (0.613–0.817)
 LC 20 30 2 13 60.6 (43.9–77.3) (1.000) 93.8 (85.4–102) (0.317) 76.9 (66.7–87.2) (1.000) 90.9 (78.9–103) (0.424) 69.8 (56.0–83.5) (1.000) 91.3 68.8 0.772 (0.677–0.867)
MRI
 TS 30 25 2 8 78.9 (66.0–91.9) 92.6 (82.7–102) 84.6 (75.8–93.4) 93.8 (85.4–102) 75.8 (61.1–90.4) 92.0 80.3 0.858 (0.775–0.940)
 MC 28 24 1 12 70.0 (55.8–84.2) 96.0 (88.3–104) 80.0 (70.3–89.7) 96.6 (89.9–103) 66.7 (51.3–82.1) 95.0 74.8 0.830 (0.748–0.712)
 LC 21 30 2 12 63.6 (47.2–80.0) 93.8 (85.4–102) 78.5 (68.5–88.5) 91.3 (79.8–103) 71.4 (57.8–85.1) 91.7 70.5 0.787 (0.693–0.881)
  1. Numbers in parentheses are the P values compared to MRI data (McNemar test)
  2. TS trochlear surface, MC medial condyles, LC lateral condyles, TP true positive, TN true negative, FP false positive, FN false negative
  3. #Data are the surface numbers