Multiphase convolutional dense network for the classification of focal liver lesions on dynamic contrast-enhanced computed tomography

Table 3 The model's performance comparison between the normal set and “phase cheating” sets

Policy	HCCs (AUC [95%CI]/P value)	Metastases (AUC [95%CI]/P value)	Benign non-inflammatory (AUC [95%CI]/P value)	Hepatic Abscesses (AUC [95%CI]/P value)
PP + AP + PVP + DP	0.92 (0.837-0.992)	0.99 (0.967-1.00)	0.88 (0.795-0.955)	0.96 (0.914-0.996)
AP + AP + PVP + DP	0.820 (0.705-0.905)/0.0699	0.901 (0.805- 0.960)/0.0289	0.893 (0.809-0.949)/0.2502	0.924 (0.823-0.977)/0.3387
PP + PVP + PVP + DP	0.704 (0.565-0.821)/0.0017	0.930 (0.832- 0.981)/0.2573	0.799 (0.701- 0.877)/0.0924	0.938 (0.846-0.984)/0.4317
PP + AP + AP + DP	0.768 (0.643-0.866)/0.0013	0.833 (0.714 -0.916)/0.0120	0.864 (0.774-0.929)/0.9720	0.935 (0.846-0.981)/0.4047
PP + AP+ PVP + PVP	0.911 (0.815-0.967)/0.6404	0.959 (0.882- 0.992)/0.4066	0.913 (0.832-0.963)/0.7877	0.831 (00.716- 0.914)/0.0184
PP + AP + AP + AP	0.672 (0.542-0.785)/< 0.0001	0.758 (0.692- 0.909)/0.0079	0.863 (0.773-0.927)/0.3188	0.806 (0.690- 0.893)/0.0475
PP + PVP + PVP + PVP	0.721 (0.584-0.834)/0.0019	0.913 (0.807-0.972)/0.1165	0.775 (0.675-0.857)/ 0.0247	0.900 (0.796- 0.962)/0.7491
PP + DP+ DP+ DP	0.652 (0.513-0.774)/0.0002	0.818 (0.692-0.909)/0.0079	0.790 (0.688-0.870)/0.0356	0.904 (0.802-0.964)/0.7911
AP + AP + AP + AP	0.573 (0.443- 0.696)/< 0.0001	0.674 (0.548-0.785)/< 0.0001	0.833 (0.739- 0.904)/0.3375	0.697 (0.567- 0.807)/0.0019
PVP + PVP + PVP+ PVP	0.697 (0.554-0.817)/0.0029	0.859 (0.748- 0.934)/0.0101	0.794 (0.693- 0.874)/0.1144	0.782 (0.650-0.882)/0.0278
DP + DP + DP + DP	0.697 (0.562- 0.811)/0.0007	0.787 (0.666- 0.880)/0.0008	0.751 (0.646-0.838)/0.0387	0.873 (0.760-0.946)/0.1805

AP: Arterial phase; AUC: Area under the receiver operating characteristic curve; CI: Confidence interval; DP: Delayed phase; FLLs: Focal liver lesions; HCC: Hepatocellular carcinoma; PP: Precontrast phase; PVP: Portal venous phase.