Computer-aided diagnosis for contrast-enhanced ultrasound in the liver

Table 1 Performance of CAD scheme for classification in five categories using physicians’ pattern classification n (%)

Lesion	n	Classification with CAD
		HCC			Metastasis	Hemangioma
		w-HCC	m-HCC	p-HCC
HCC	74
w-HCC	23	15 (65.2)	4 (17.4)	4 (17.4)	0 (0.0)	0 (0.0)
m-HCC	36	16 (44.4)	15 (41.7)	5 (13.9)	0 (0.0)	1 (2.7)
p-HCC	15	1 (6.7)	1 (6.7)	12 (80.0)	1 (6.7)	0 (0.0)
Metastasis	33	1 (3.0)	0 (0.0)	1 (3.0)	28 (84.8)	3 (9.1)
Hemangioma	30	0 (0.0)	0 (0.0)	1 (3.3)	1 (3.3)	28 (93.3)

Overall diagnostic accuracy: 98/137 (71.5%). CAD performance was evaluated by a leave-one-case-out methods. Reproduced, with modification, form Sugimoto et al[31], Acad Radiol 2009; 16: 401-411. CAD: Computer-aided diagnosis; HCC: Hepatocellular carcinoma; w-HCC: Well-differentiated HCC; m-HCC: Moderately differentiated HCC; p-HCC: Poorly differentiated HCC.