The use of the Gail model, body mass index and SNPs to predict breast cancer among women with abnormal (BI-RADS 4) mammograms

Table 1 Characteristics of BIRADS 4 cohort, all ages, N = 464 ^a

Characteristics	Data
Age, yr, mean ± SD (range)	48.7 ± 13.2	(20 to 86)
Age, yr, categories
<35	73	15.7
35 to 40	41	8.8
40 to 49	114	24.6
50 to 59	146	31.5
60+	90	19.4
Race/ethnicity
White	277	59.7
African American/black	145	31.3
Hispanic	9	1.9
Asian	16	3.5
Other	17	3.7
Age at menarche, yr
<11	90	19.4
12 to 13	200	43.1
≥14	107	23.1
Unknown	67	14.4
Age at first live birth, yr
<20	69	14.9
20 to 24	94	20.3
25 to 29	76	16.4
≥30	80	17.2
Nulliparous	139	30
Missing data	6	1.3
First-degree relatives with breast or ovarian cancer, n
0	350	75.4
1	101	21.8
>1	13	2.8
Prior breast biopsy, n
0	266	57.3
1	123	26.5
>1	75	16.2
Prior AH
Yes	20	4.3
No	444	95.7
Gail 5-yr risk estimate, mean ± SD	1.54 ± 1.43
Gail 5-yr risk estimate, %
<1.67	309	66.6
≥1.67	155	33.4
Body mass index, kg/m²
<25	182	39.2
25 to 29.9	95	20.5
≥30	108	23.3
Missing data	79	17.0
deCODE genetics panel RR, mean ± SD	1.22 ± 0.44
<1.00	163	35.1
1.01 to 1.49	182	39.2
≥1.50	119	25.7
Outcome of biopsy
Benign	366	78.9
AH/LCIS	24	5.2
DCIS	33	7.1
Invasive carcinoma	41	8.8

^aAH, Atypical hyperplasia; BI-RADS, Breast Imaging-Reporting and Data System; DCIS, Ductal carcinoma in situ; LCIS, Lobular carcinoma in situ; RR, Relative risk; SD, Standard deviation. Data are number and percent unless otherwise stated.

ISSN: 1465-542X