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Table 1 Patient and tumor characteristics (n = 464)

From: Application of deep learning on mammographies to discriminate between low and high-risk DCIS for patient participation in active surveillance trials

Age at diagnosis

n (%)

 20–49

146 (31.5)

 50–59

186 (40.1)

 50–69

96 (20.7

 70+

36 (7.8)

Median (interquartile range)

54 (49–62)

Menopausal status

 

 Pre-menopausal

121 (26.1)

 Peri-menopausal

40 (8.6)

 Post-menopausal

241 (51.9)

Unknown

62 (13.4)

Method of detection

 

 Screen-detected

250 (53.9)

 Symptomatic

53 (11.4)

Unknowna

161 (34.7)

Lesion size (mammography, mm)

 

 0–19

158 (34.1)

 20–50

109 (23.5)

 ≥ 50

79 (17.0)

unknown

118 (25.4)

Mean (± standard deviation)

29.8 (25.2)

Grade (based on surgical specimen)

 

 I

139 (30.0)

 II

193 (41.6)

 III

132 (28.4)

Upstage to IBC

 

 Yes

68 (14.7)

 No

396 (85.3)

  1. aIncluding 110 diagnosed during follow-up for a previously treated breast lesion and 51 referred for routine second opinion