Table 1.

Results of xerostomia prediction

Method	Accuracy	Sensitivity	Specificity	F-score	AUC (95% CI)
3D rCNN	0.76	0.76	0.76	0.70	0.84 (0.74–0.91)
3D rCNN without contour	0.74	0.72	0.76	0.68	0.82 (0.72–0.90)
3D rCNN without CT	0.73	0.77	0.71	0.69	0.78 (0.67–0.88)
3D rCNN without dose	0.65	0.59	0.69	0.56	0.70 (0.58–0.80)
LR without clinical variables	0.56	0.75	0.43	0.57	0.68 (0.56–0.80)
LR with clinical variables	0.64	0.72	0.59	0.60	0.74 (0.64–0.84)

AUC: area under the curve; CI: confidence interval; CT: computed tomography; 3D rCNN: three-dimensional residual convolutional neural network; LR: logistic regression