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. 2021 May 19;11:643003. doi: 10.3389/fonc.2021.643003

Table 2.

Diagnostic power of CTC, US and MMG in breast cancer diagnosis*.

CTC 95% CI US 95% CI MMG 95% CI
Sensitivity 0.73 0.67 - 0.79 0.79 0.74 - 0.84 0.58 0.51 - 0.64
Specificity 0.92 0.88 - 0.95 0.81 0.75 - 0.86 0.92 0.88 - 0.95
Accuracy 0.83 0.79 - 0.86 0.80 0.76 - 0.84 0.75 0.71 - 0.79
Positive Likelihood Ratio (LR+) 9.12 5.88 - 14.13 4.18 3.19 - 5.48 7.18 4.60 - 11.20
Negative Likelihood Ratio (LR-) 0.29 0.24 -0.36 0.25 0.20 - 0.33 0.46 0.40 - 0.54
Youden Index 0.65 N/A 0.65 N/A 0.50 N/A
Area Under Curve (AUC)# 0.855 0.819 - 0.890 0.861 0.828 - 0.894 0.759 0.712 - 0.805
CTC + US 95% CI CTC + MMG 95% CI US + MMG 95% CI
Sensitivity 0.90 0.86 - 0.94 0.87 0.82 - 0.91 0.87 0.82 - 0.91
Specificity 0.76 0.70 - 0.81 0.85 0.80 - 0.89 0.79 0.73 - 0.84
Accuracy 0.83 0.79 - 0.86 0.86 0.83 - 0.89 0.83 0.79 - 0.86
Positive Likelihood Ratio (LR+) 3.69 2.94 - 4.63 5.89 4.32 - 8.03 4.12 3.21 - 5.30
Negative Likelihood Ratio (LR-) 0.13 0.09 - 0.19 0.15 0.11 - 0.21 0.17 0.12 - 0.23
Youden Index 0.66 N/A 0.72 N/A 0.66 N/A
Area Under Curve (AUC)# 0.922 0.898 - 0.946 0.899 0.870 - 0.928 0.884 0.855 - 0.914

CTC, circulating tumor cell; CI, confidence interval; US, ultrasound; MMG, mammogram; N/A,. not applicable.

Confidence intervals for sensitivity, specificity and accuracy are “exact” Clopper-Pearson confidence intervals. Confidence intervals for the likelihood ratios are calculated using the “Log method”.

*CTC, US and MMG cut-off values were determined by the highest Youden index (sensitivity + specificity - 1). When CTC cut-off value was set to 2, and both US BI-RADS and MMG BI-RADS cut-off scores were set to 4b, the highest Youden index of 0.65, 0.65 and 0.5 would be generated for CTC, US, and MMG, respectively. Subjects with more than 2 CTC, or with US or MMG BI-RADS score higher than 4b are classified as CTC, US and MMG positive for diagnosis, respectively. As long as any measurement of composing parameter was higher than its cut-off value, the combination result would be considered as positive for diagnosis.

#AUC was determined by the ROC.