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Table 1 Patient and imaging key characteristics of the study cohort

From: Deep learning of mammogram images to reduce unnecessary breast biopsies: a preliminary study

 

Benign (n = 194)

Pure atypia (n = 198)

DCIS (n = 200)

Invasive (n = 200)

Upstaged atypia (n = 55)

Total (n = 847)

Age (years)\(\pm\)Std:

57 \(\pm\)13

56 \(\pm\)10

62 \(\pm\)11

61 \(\pm\)12

63 \(\pm\)11

59 \(\pm\)12

Menopausal status: Number (%)

Premenopausal

44 (22.7)

0 (0)

30 (15)

18 (9)

24 (43.6)

116 (13.7)

Postmenopausal

41 (21.1)

65 (32.8)

165 (82.5)

175 (87.5)

31 (56.4)

477 (56.3)

Unknown/Missing

109 (56.2)

133 (67.2)

5 (2.5)

7 (3.5)

0 (0)

254 (30)

Family history: Number (%)

No family history

150 (77.3)

87 (43.9)

36 (18)

45 (22.5)

7 (12.7)

325 (38.4)

With family history

38 (19.6)

110 (55.6)

154 (77)

144 (72)

47 (85.5)

493 (58.2)

Unknown/Missing

6 (3.1)

1 (0.5)

10 (5)

11 (5.5)

1 (1.8)

29 (3.4)

Density: Number (%)

Fatty

8 (4.1)

1 (0.5)

7 (3.5)

1 (0.5)

0 (0)

17 (2)

Scattered fibroglandular tissue

82 (42.3)

69 (34.8)

88 (44)

88 (44)

33 (60)

360 (42.5)

Heterogeneously dense

91 (46.9)

116 (58.6)

96 (48)

93 (46.5)

22 (40)

418 (49.4)

Extremely dense

1 (0.5)

3 (1.5)

2 (1)

2 (1)

0 (0)

8 (0.9)

Unknown/Missing

20 (10.3)

10 (5.1)

7 (3.5)

17 (8.5)

0 (0)

54 (6.4)

BI-RADS score: Number (%)

4

18 (9.3)

51 (25.8)

55 (27.5)

28 (14)

27 (49.1)

179 (21.1)

4A

107 (55.2)

89 (44.9)

41 (20.5)

13 (6.5)

7 (12.7)

257 (30.3)

4B

59 (30.4)

42 (21.2)

63 (31.5)

41 (20.5)

12 (21.8)

217 (25.6)

4C

6 (3.1)

12 (6.1)

26 (13)

71 (35.5)

5 (9.1)

120 (14.2)

5

2 (1)

0 (0)

0 (0)

13 (6.5)

0 (0)

15 (1.8)

Unknown/Missing

2 (1)

4 (2)

15 (7.5)

34 (17)

4 (7.3)

59 (7)

Tumor size: Number (%)

< 2 cm

N/A

126 (63)

157 (78.5)

24 (43.6)

307 (67.5)

2–5 cm

34 (17)

36 (18)

1 (1.8)

71 (15.6)

5 cm

7 (3.5)

4 (2)

0 (0)

11 (2.4)

Unknown/Missing

33 (16.5)

3 (1.5)

30 (54.5)

66 (14.5)