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. 2023 Jun 6;15(12):3069. doi: 10.3390/cancers15123069

Table 2.

Characteristics of invasive cancers detected on screen by a human reader or AI.

Detected by R1 Detected by AI
N = 1261 % 95% CI N = 1213 % 95% CI p *
Histological grade 1 329 27.1% 24.7–29.7% 313 26.9% 24.4–29.5% 0.981
2 673 55.5% 52.7–58.3% 651 55.9% 53.1–58.8%
3 210 17.3% 15.3–19.6% 200 17.2% 15.1–19.5%
Missing 49 97
Whole tumour size ≤20 mm 742 66.1% 63.3–68.8% 723 66.9% 64.1–69.7% 0.720
>20 mm 380 33.9% 31.2–36.7% 357 33.1% 30.3–35.9%
Missing 139 181
Invasive tumour size ≤20 mm 941 83.1% 80.8–85.1% 907 83.1% 80.8–85.2% 0.995
>20 mm 192 16.9% 14.9–19.2% 184 16.9% 14.8–19.2%
Missing 128 170
Lymph node status Negative 912 79.9% 77.4–82.1% 878 80.0% 77.6–82.3% 0.959
Positive 230 20.1% 17.9–22.6% 219 20.0% 17.7–22.4%
Missing 119 164

Abbreviations: R1—Human reader 1; AI—artificial intelligence; CI—confidence interval. * p-values are based on a chi-square test.