TY - JOUR
T1 - Early-life and adult anthropometrics in relation to mammographic image intensity variation in the nurses' health studies
AU - Oh, Hannah
AU - Rice, Megan S.
AU - Warner, Erica T.
AU - Bertrand, Kimberly A.
AU - Fowler, Erin E.
AU - Heather Eliassen, A.
AU - Rosner, Bernard A.
AU - Heine, John J.
AU - Tamimi, Rulla M.
N1 - Funding Information:
We would like to thank the participants and staff of the NHS and NHSII for their valuable contributions as well as the following state cancer registries for their help: AL, AZ, AR, CA, CO, CT, DE, FL, GA, ID, IL, IN, IA, KY, LA, ME, MD, MA, MI, NE, NH, NJ, NY, NC, ND, OH, OK, OR, PA, RI, SC, TN, TX, VA, WA, WY. The authors assume full responsibility for analyses and interpretation of these data. This work was supported by the NCI at the NIH (R.M. Tamimi, grant number CA131332, CA175080, P01 CA087969; A.H. Eliassen, grant number UM1 CA186107 and UM1 CA176726; J.J. Heine, grant number U01 CA200464; E.T. Warner, grant number K01CA188075), Avon Foundation for Women, Susan G. Komen for the Cure, and Breast Cancer Research Foundation. H. Oh was supported by the National Research Foundation of Korea (NRF) grant (NRF-2019R1G1A1004227, NRF-2019S1A3A2099973), Korea University Grant (K1808781), and Korea University Research Institute of Health Sciences Grant. K.A. Bertrand was supported by the Dahod Breast Cancer Research Program at Boston University School of Medicine.
Publisher Copyright:
© 2020 American Association for Cancer Research Inc.. All rights reserved.
PY - 2020/2/1
Y1 - 2020/2/1
N2 - Background: The V measure captures grayscale intensity variation on a mammogram and is positively associated with breast cancer risk, independent of percent mammographic density (PMD), an established marker of breast cancer risk. We examined whether anthropometrics are associated with V, independent of PMD. Methods: The analysis included 1,700 premenopausal and 1,947 postmenopausal women without breast cancer within the Nurses Health Study (NHS) and NHSII. Participants recalled their body fatness at ages 5, 10, and 20 years using a 9-level pictogram (level 1: most lean) and reported weight at age 18 years, current adult weight, and adult height. V was estimated by calculating standard deviation of pixels on screening mammograms. Linear mixed models were used to estimate beta coefficients ( ) and 95% confidence intervals (CI) for the relationships between anthropometric measures and V, adjusting for confounders and PMD. Results: V and PMD were positively correlated (Spearman r 1/4 0.60). Higher average body fatness at ages 5 to 10 years (level 4.5 vs. 1) was significantly associated with lower V in premenopausal (-0.32; 95% CI, -0.48 to -0.16) and postmenopausal (-0.24; 95% CI, -0.37 to -0.10) women, independent of current body mass index (BMI) and PMD. Similar inverse associations were observed with average body fatness at ages 10 to 20 years and BMI at age 18 years. Current BMI was inversely associated with V, but the associations were largely attenuated after adjustment for PMD. Height was not associated with V. Conclusions: Our data suggest that early-life body fatness may reflect lifelong impact on breast tissue architecture beyond breast density. However, further studies are needed to confirm the results. Impact: This study highlights strong inverse associations of early-life adiposity with mammographic image intensity variation.
AB - Background: The V measure captures grayscale intensity variation on a mammogram and is positively associated with breast cancer risk, independent of percent mammographic density (PMD), an established marker of breast cancer risk. We examined whether anthropometrics are associated with V, independent of PMD. Methods: The analysis included 1,700 premenopausal and 1,947 postmenopausal women without breast cancer within the Nurses Health Study (NHS) and NHSII. Participants recalled their body fatness at ages 5, 10, and 20 years using a 9-level pictogram (level 1: most lean) and reported weight at age 18 years, current adult weight, and adult height. V was estimated by calculating standard deviation of pixels on screening mammograms. Linear mixed models were used to estimate beta coefficients ( ) and 95% confidence intervals (CI) for the relationships between anthropometric measures and V, adjusting for confounders and PMD. Results: V and PMD were positively correlated (Spearman r 1/4 0.60). Higher average body fatness at ages 5 to 10 years (level 4.5 vs. 1) was significantly associated with lower V in premenopausal (-0.32; 95% CI, -0.48 to -0.16) and postmenopausal (-0.24; 95% CI, -0.37 to -0.10) women, independent of current body mass index (BMI) and PMD. Similar inverse associations were observed with average body fatness at ages 10 to 20 years and BMI at age 18 years. Current BMI was inversely associated with V, but the associations were largely attenuated after adjustment for PMD. Height was not associated with V. Conclusions: Our data suggest that early-life body fatness may reflect lifelong impact on breast tissue architecture beyond breast density. However, further studies are needed to confirm the results. Impact: This study highlights strong inverse associations of early-life adiposity with mammographic image intensity variation.
UR - http://www.scopus.com/inward/record.url?scp=85079079299&partnerID=8YFLogxK
U2 - 10.1158/1055-9965.EPI-19-0832
DO - 10.1158/1055-9965.EPI-19-0832
M3 - Article
C2 - 31826913
AN - SCOPUS:85079079299
SN - 1055-9965
VL - 29
SP - 343
EP - 351
JO - Cancer Epidemiology Biomarkers and Prevention
JF - Cancer Epidemiology Biomarkers and Prevention
IS - 2
ER -