Skip to main content
. 2021 Sep 16;11:628824. doi: 10.3389/fonc.2021.628824

Table 5.

ROC curves of Kep, TTP and ADC in differential diagnosis.

ROC analysis
Identifying group Parameters Cutoff AUC (95%CI) Accuracy Sensitivity Specificity
Luminal A vs. TNBC Kep 0.892 0.675 (0.540–0.809) 0.656 0.559 0.767
TTP 0.582 0.755 (0.627–0.884) 0.766 0.765 0.767
ADC 0.719 0.667 (0.534–0.800) 0.625 0.353 0.933
Combined 0.527 0.811 (0.708–0.915) 0.750 0.735 0.767
Luminal B vs. HER-2-enriched ADC 0.778 0.702 (0.592–0.812) 0.554 0.889 0.432
Luminal B vs. TNBC TTP 0.583 0.699 (0.596–0.802) 0.676 0.765 0.635
HER-2-enriched vs. TNBC TTP 0.582 0.647 (0.501–0.794) 0.705 0.765 0.630
ADC 0.759 0.763 (0.644–0.882) 0.705 0.500 0.963
Combined 0.405 0.793 (0.681–0.904) 0.754 0.882 0.593

Combined indicate the predicted model based on the combination of the parameters. ROC, Receiver operating characteristic; AUC, Area under the curve; CI, Confidence interval; TNBC, Triple-negative breast cancer; ADC, Apparent diffusion coefficient.