Table 2.

Statistical results obtained using a supervised neuronal training method for discrimination between CCC and non-malignant liver tissue

Condition	True value	Prediction	P value
Pat. No. 1, non-malignant	Normal liver tissue	Non-malignant	0.00023
Pat. No. 2, non-malignant	Normal liver tissue	Non-malignant	0.00023
Pat. No. 3, non-malignant	Normal liver tissue	Non-malignant	0.00023
Pat. No. 4, non-malignant	Normal liver tissue	Non-malignant	0.00023
Pat. No. 5, non-malignant	Normal liver tissue	Non-malignant	0.00023
Pat. No. 6, non-malignant	Normal liver tissue	Non-malignant	0.00023
Pat. No. 7, non-malignant	Normal liver tissue	Non-malignant	0.00023
Pat. No. 8, non-malignant	Normal liver tissue	Non-malignant	0.00023
Pat. No. 1, CCC	CCC	Malignant	0.00103
Pat. No. 2, CCC	CCC	Malignant	0.00103
Pat. No. 3, CCC	CCC	Malignant	0.00103
Pat. No. 4, CCC	CCC	Malignant	0.00103
Pat. No. 5, CCC	CCC	Malignant	0.00103
Pat. No. 6, CCC	CCC	Malignant	0.00103
Pat. No. 7, CCC	CCC	Malignant	0.16100
Pat. No. 8, CCC	CCC	Malignant	0.00103
Pat. No. 9, CCC	CCC	Malignant	0.00103
Pat. No. 10, CCC	CCC	Malignant	0.00103

Statistical results of the ability to differentiate between normal and malignant liver tissue (CCC) using a supervised neuronal training method. In all cases, a fast and correct differentiation was possible with a high positive (P < 0.001 in 90%) and negative (100%, P < 0.00023) predictive value.