External Validation of an Artificial Neural Network and Two Nomograms for Prostate Cancer Detection

Table 3

ROC curve analysis for tPSA, %fPSA, ANNs, and nomograms.

Parameter cohort	tPSA	%fPSA	Karakiewicz et al.’s Nomogram I	Kawakami et al.’s Nomogram II	ANN-Charité
Area under the ROC curve (AUC)
Saarow cohort	0.501	0.669	0.713	0.742^*	0.694
“ProstataClass” cohort	0.7	0.782
Specificity at 95% sensitivity
Saarow cohort	3.96%	12.9%	30.4%	18.2%	18.8%
“ProstataClass” cohort	27.8%	27.5%
Specificity at 90% sensitivity
Saarow cohort	6.93%	25.7%	40.9%	27.1%	33.7%
“ProstataClass” cohort	39.4%	44.1%

^*Significantly different from %fPSA.