Enhanced characterization of solid solitary pulmonary nodules with Bayesian analysis-based computer-aided diagnosis

Table 1 Classification of solitary pulmonary nodule malignancy adopted in the current study

Class	Probability of malignancy
1	Minimal risk; almost certainly benign
2	Low risk; probably benign
3	Intermediate risk; not further characterizable
4	High risk; probably malignant
5	Very high risk; almost certainly malignant

Table 2 Area under the receiver operating characteristic curve values before and following disclosure of the computer-aided diagnosis data for the different raters

Rater	SPNs	AUC blinded	AUC unfolded	Difference	Significance
		95%CI	95%CI
BIMC	94	0.845	-	-	-
		0.755-0.911
Rater 1	94	0.734	0.769	0.035	P = 0.3329
		0.633-0.820	0.671-0.850
Rater 2	94	0.788	0.820	0.032	P = 0.2170
		0.691-0.865	0.727-0.892
Rater 3	94	0.788	0.830	0.042	P = 0.0592
		0.692-0.866	0.738-0.899
Rater 4	94	0.739	0.795	0.056	P = 0.0048
		0.639-0.825	0.699-0.871
Rater 5	94	0.751	0.815	0.064	P = 0.0300
		0.651-0.834	0.721-0.887
Rater 6	94	0.836	0.833	-0.003	P = 0.9308
		0.745-0.904	0.742-0.902
Rater 7	94	0.682	0.756	0.074	P = 0.0054
		0.578-0.774	0.657-0.839
Overall	658	0.758	0.803	0.045	P = 0.0003
		0.723-0.790	0.770-0.833

AUC: Area under the curve; SPNs: Solitary pulmonary nodules; BIMC: Bayesian inference malignancy calculator.

Table 3 Mean number of predicted solitary pulmonary nodules for each risk class considered, before (pre-computer-aided diagnosis) and after (post-computer-aided diagnosis) computer-aided diagnosis result disclosure

Risk class	Benign SPNs		Malignant SPNs
	Pre-CAD	Post-CAD	Pre-CAD	Post-CAD
1	6.71	13.43	1.86	1.86
2	12.43	6.86	8.43	7.14
3	6.43	3.71	17.43	11.29
4	3.57	5.00	15.29	15.57
5	2.86	3.00	19.00	26.14

SPNs: Solitary pulmonary nodules; CAD: Computer-aided diagnosis.