Table 2.

AUC results for each of the three centres individually and for the whole dataset overall

Site	Nodules (n)	Cancer (%)	LCP-CNN (95% CI)	Brock (95% CI)	Maximal axial diameter (95% CI)
Leeds	438	20.3	88.1 (84.3 to 91.5)	83.4 (78.9 to 87.5)	77.6 (72.5 to 82.4)
Nottingham	423	22.0	89.0 (85.3 to 92.3)	87.3 (82.8 to 91.2)	82.3 (77.0 to 87.4)
Oxford	536	9.7	91.9 (88.5 to 94.9)	91.3 (87.3 to 94.6)	91.0 (86.8 to 94.4)
All	1397	16.8	89.6 (87.6 to 91.5)*	86.8 (84.3 to 89.1)*	83.1 (80.3 to 85.8)

‘Diameter’ simply means stratifying the nodules according to the maximal diameter on an axial slice and using that to create a receiver operating curve.

*P=0.0044 for LCP-CNN versus Brock.

AUC, area under the curve; LCP-CNN, lung cancer prediction convolutional neural network.