Table 3 Patient Characteristics: Characteristics of patients included in analysis set for this study.

From: Automated quantification of levels of breast terminal duct lobular (TDLU) involution using deep learning

 

BBD case (N = 87)

BBD control (N = 87)

Total (N = 174)

Age

Median

52

52

52

Range

(35–74)

(35–74)

(35–74)

Age category, n (%)

 <45 years

19 (21.8%)

19 (21.8%)

38 (21.8%)

 45–55 years

33 (37.9%)

33 (37.9%)

66 (37.9%)

 >55 years

35 (40.2%)

35 (40.2%)

70 (40.2%)

BBD histology n (%)

 Non-proliferative

26 (29.9%)

40 (46.0%)

66 (37.9%)

 Proliferative disease without atypia

42 (48.3%)

37 (42.5%)

79 (45.4%)

 Atypical hyperplasia

19 (21.8%)

10 (11.5%)

29 (16.7%)

Age-related lobular involution, n (%)

 Involution data missing

7

2

9

 None

22 (27.5%)

15 (17.6%)

37 (22.4%)

 Partial

44 (55.0%)

39 (45.9%)

83 (50.3%)

 Complete

14 (17.5%)

31 (36.5%)

45 (27.3%)