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Table 1 Distribution of screened population percentiles of Cumulus and AutoDensity according to known breast density correlates

From: AutoDensity: an automated method to measure mammographic breast density that predicts breast cancer risk and screening outcomes

Variable

Categories

n (%)

Percentiles of dense area

Median (IQR)#

   

Cumulus

AutoDensity

Age group (years)

40-49

581 (9%)

76 (53, 91)

69 (46, 86)

50-54

1,201 (19%)

63 (36, 82)

60 (36, 81)

55-59

1,282 (20%)

52 (27, 77)

51 (25, 75)

60-64

1,214 (19%)

45 (23, 69)

44 (22, 70)

65-69

1,192 (19%)

39 (19, 64)

41 (20, 69)

70-79

857 (14%)

40 (18, 64)

41 (21, 69)

  

z = -21.0, P < 0.001*

z = -16.0, P < 0.001*

Hormone therapy use at screening

No

4,909 (78%)

47 (23, 72)

47 (23, 73)

Yes

1,418 (23%)

64 (37, 83)

62 (37, 81)

  

χ2 = 179.9, p < 0.001†

χ2 = 127.0, p < 0.001†

Family history of breast cancer

No

6,111 (97%)

51 (25, 76)

50 (25, 75)

Yes

216 (3%)

50 (27, 74)

56 (27, 76)

  

χ2 = 0.2, P = 0.630†

χ2 = 1.4, P = 0.235†

Region of birth

Australia

4,109 (65%)

50 (25, 76)

51 (26, 76)

Europe/North America

1,782 (28%)

51 (26, 75)

49 (23, 75)

Asia

237 (4%)

58 (30, 78)

54 (40, 71)

Other

198 (3%)

53 (27, 80)

52 (40, 71)

  

χ2 = 4.7, P = 0.194†

χ2 = 4.8, P = 0.187†

Breast symptoms

None

5,964 (94%)

50 (25, 75)

50 (25, 75)

No significant symptoms

363 (13%)

62 (35, 81)

59 (29, 79)

  

χ2 = 20.4, P <0.001†

χ2 = 6.0, P = 0.014†

Screening round

First

2,818 (45%)

50 (25, 76)

51 (26, 77)

Subsequent

3,509 (55%)

51 (26, 75)

50 (24, 75)

  

χ2 = 0.1, P = 0.715†

χ2 = 3.6, P = 0.059†

Screening outcome

Small screen-detected cancers

653 (10%)

46 (23, 74)

47 (25, 78)

Large screen-detected cancers

332 (5%)

58 (37, 79)

53 (36, 80)

Interval cancers

367 (6%)

67 (44, 86)

70 (47, 88)

No cancer (controls)

4,975 (79%)

49 (24, 74)

49 (23, 74)

  

χ2 = 109.5, P < 0.001†

χ2 = 123.1, P < 0.001†

  1. #A median value above 50 indicates that the subgroup has higher median breast density than the whole screened population (and vice versa); *Cuzick non-parametric test for trends across categories; †Kruskal-Wallis non-parametric test for differences between groups. IQR interquartile range.