Table 1.

Pair-wise discrimination between the four different lesion types for “QIA alone” features and “3CB alone” features: Best performing individual features with their AUC value. Note that this table combines information from two symmetrical tables: One table for the best performing QIA features and one for the best performing 3CB features. In the table presented here, entries above the diagonal pertain to QIA features and entries below the diagonal to 3CB features. For example, the best performing 3CB feature for the distinction between BN and IDC was “water: median in periphery” with an AUC value of 0.71, and the best QIA feature for this task was “FWHM lesion” with an AUC value of 0.65 (features selected by stepwise feature selection for the task of distinguishing between malignant and benign lesions indicated in bold font, IDC = invasive ductal carcinoma, DCIS = ductal carcinoma in situ, FA = fibroadenoma, BN = benign other than FA).

	N	IDC	DCIS	FA	BN
N		10	5	11	19
IDC	10	…	QIA FWHM1 border 0.76	QIA FWHM1 lesion 0.69	QIA FWHM1 lesion 0.65
DCIS	5	3CB Lipid: Skewness w/in lesion 0.71	…	QIA Radial gradient margin 0.78	QIA Radial gradient 0.70
FA	11	3CB Water: Relative2 σ 0.75	3CB Lipid: Relative2mean 0.80	…	QIA Texture (σ3) 0.69
BN	19	3CB Water: Median in periphery 0.71	3CB Water: Skewness in periphery 0.72	3CB Protein: Relative2 mean 0.73	…

¹FWHM = full width at half maximum of gray value histogram.

²“Relative” indicates the value w/in the lesion with respect to that in the lesion periphery.

³σ = standard deviation.