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. 2018 Apr 21;21(2):105–118. doi: 10.1007/s40477-018-0297-2

Table 2.

Diagnostic performance of S-detect and in-training operators

Operator Sensitivity (%)—95% CI Specificity (%)—95% CI PLR—95% CI NLR—95% CI ROC area—95% CI PPV (%)—95% CI NPV (%)—95% CI
S-detect 91.1 (78.8–97.5%) 70.8 (48.9–87.4%) 3.12 (1.66 5.87) 0.13 (0.05–0.33) 0.81(0.71–0.91) 8.54 (72.2–93.9%) 81.0 (58.1–94.6%)
5th year with limited experiencea 97.7% (88–99.9%) 54.2 (32.8–74.4%) 2.13 (1.38–3.30) 0.04 (0.01–0.30) 0.76 (0.66 –0.86) 79.6 (66.5–89.4) 92.9 (66.1–99.8%)
2nd year with deeper experiencea 95.5 (84.5–99.4%) 70.8 (48.9–87.4%) 3.27 (1.75–6.13) 0.06 (0.02–0.25) 0.83 (0.73–0.93) 85.7 (72.8–94.1) 89.5 (66.9–98.7)
3rd year with limited experiencea 97.8 (88.2–99.9) 50 (29.1–70.9%) 1.96 (1.31–2.92) 0.04 (0.01–0.32) 0.74 (0.63–0.84) 78.6 (65.6–88.4%) 92.3 (64–99.8%)
1 anno with deeper experiencea 100 (92–100%) 50 (29.1–70.9%) 2.0 (1.34–2.98) 0.00 0.75 (0.65–0.85) 78.6 (65.6–88.4%) 100 (73.5–100%)

PLR positive likelihood ratio, NLR negative likelihood ratio, ROC receiver operator curve, PPV positive predictive value, NPV negative predictive value

aExperience in breast imaging