Prediction of lymph node metastasis in early gastric signet-ring cell carcinoma: A real-world retrospective cohort study

Table 4 Comparison of artificial neural network model and logistic regression model for predicting lymph node metastasis

Diagnostic Index	LR model, (%, 95%CI)	ANN model (%, 95%CI)	P value
Sensitivity	58.3% (48.6-67.1%)	96.4% (87.8-99.9%)	0.034
Specificity	88.8% (87.2-90.4%)	88.0% (86.4-89.6%)	< 0.001
PPV	27.7% (22.3-33.9%)	19.4% (14.9-25.2%)	< 0.001
NPV	96.7% (95.6-97.5%)	99.9% (99.6-1.000%)	0.202
Accuracy	86.7% (85.1-88.2%)	88.2% (86.8-89.8%)	< 0.001
AUC	0.797 (0.776-0.818)	0.878 (0.862-0.893)	< 0.001

PPV: Positive predictive value; NPV: Negative predictive value; AUC: Area under the curve.