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Table 1 Baseline demographics and breast density estimates by case–control status

From: Preliminary evaluation of the publicly available Laboratory for Breast Radiodensity Assessment (LIBRA) software tool: comparison of fully automated area and volumetric density measures in a case–control study with digital mammography

 

Controls

Cases

P value

Number of women

318

106

 

Age at menarche

  

0.02*

Reference group: <12 years (0)

34 (13 %)

26 (25 %)

12–14 years (1)

197 (75 %)

71 (67 %)

15 years or older (2)

32 (12 %)

9 (8 %)

Missing

55

0

Number of previous benign biopsies

  

0.36

Reference group: 0 (0)

235 (74 %)

74 (70 %)

1 (1)

53 (17 %)

24 (23 %)

2+ (2)

30 (9 %)

8 (8 %)

Missing

0

0

Number of first-degree relatives with breast cancer

  

0.89

Reference group: 0 (0)

242 (77 %)

83 (78 %)

1 (1)

65 (21 %)

22 (21 %)

2+ (2)

5 (2 %)

1 (1 %)

Missing

6

0

Age at first live birth

  

0.08

Reference group: Nulliparous (0)

252 (27 %)

17 (16 %)

Before age 30 (1)

167 (53 %)

63 (60 %)

Age 30 or older (2)

65 (20 %)

26 (25 %)

Missing

1

0

Race

  

0.22

Reference group: Caucasian (0)

162 (64 %)

79 (75 %)

African American (1)

72 (29 %)

21 (20 %)

Asian (2)

10 (4 %)

2 (2 %)

Other (3)

8 (3 %)

3 (3 %)

Missing

66

1

Body mass index

  

<0.001*

Reference group: Normal weight (0)

161 (59 %)

20 (24 %)

Overweight (1)

75 (28 %)

24 (28 %)

Obese (2)

36 (13 %)

40 (48 %)

Missing

46

22

BI-RADS breast density

  

0.65

Reference group: Predominantly fatty (0)

21 (7 %)

4 (4 %)

Scattered fibroglandular densities (1)

134 (42 %)

50 (47 %)

Heterogeneously dense (2)

160 (50 %)

51 (48 %)

Extremely dense (3)

3 (1 %)

1 (1 %)

LIBRA: absolute dense area, mean ± SD

31.3 cm2 ± 17.8

48.5 cm2 ± 29.4

<0.001*

LIBRA: area percent density, mean ± SD

27.1 % ± 14.7

31.9 % ± 15.5

<0.001*

Quantra: absolute dense volume, mean ± SD

73.1 cm3 ± 50.0

121.7 cm3 ± 98.9

<0.001*

Quantra: volume percent density, mean ± SD

11.6 % ± 6.4

13.6 % ± 6.9

0.002*

  1. Pearson chi-squared test is used to test differences in demographic variables between cases and controls with known values. Two-sample t test is used to test for differences between log-transformed breast density estimates
  2. The numeric coding for the categorical variables used as inputs in the regression models are provided in parentheses, with the ‘0’ groups representing the reference group for each categorical variable
  3. BI-RADS Breast Imaging-Reporting and Data System, LIBRA Laboratory for Individualized Breast Radiodensity Assessment, SD standard deviation
  4. *denotes statistical significance at the α = 0.05 level