Longitudinal Study of Mammographic Density Measures That Predict Breast Cancer Risk

After adjusting for age and body mass index (BMI), mammographic measures-dense area (DA), percent dense area (PDA), and nondense area (NDA)-are associated with breast cancer risk. Our aim was to use longitudinal data to estimate the extent to which these risk-predicting measures track over time. We...

Full description

Saved in:
Bibliographic Details
Published in:Cancer epidemiology, biomarkers & prevention biomarkers & prevention, 2017-04, Vol.26 (4), p.651-660
Main Authors: Krishnan, Kavitha, Baglietto, Laura, Stone, Jennifer, Simpson, Julie A, Severi, Gianluca, Evans, Christopher F, MacInnis, Robert J, Giles, Graham G, Apicella, Carmel, Hopper, John L
Format: Article
Language:English
Subjects:
Adult
Age
Aged
Aged, 80 and over
Australia
Body mass
Body mass index
Breast - diagnostic imaging
Breast - pathology
Breast cancer
Breast Density
Breast Neoplasms - diagnostic imaging
Early Detection of Cancer - methods
Female
Gompertz curves
Health risk assessment
Health risks
Humans
Longitudinal Studies
Mammography
Mammography - methods
Mammography - statistics & numerical data
Mass Screening - methods
Middle Aged
Proportional Hazards Models
Registries
Reproducibility of Results
Risk Factors
Risk management
Studies
Time measurement
Young Adult
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:After adjusting for age and body mass index (BMI), mammographic measures-dense area (DA), percent dense area (PDA), and nondense area (NDA)-are associated with breast cancer risk. Our aim was to use longitudinal data to estimate the extent to which these risk-predicting measures track over time. We collected 4,320 mammograms (age range, 24-83 years) from 970 women in the Melbourne Collaborative Cohort Study and the Australian Breast Cancer Family Registry. Women had on average 4.5 mammograms (range, 1-14). DA, PDA, and NDA were measured using the Cumulus software and normalized using the Box-Cox method. Correlations in the normalized risk-predicting measures over time intervals of different lengths were estimated using nonlinear mixed-effects modeling of Gompertz curves. Mean normalized DA and PDA were constant with age to the early 40s, decreased over the next two decades, and were almost constant from the mid-60s onward. Mean normalized NDA increased nonlinearly with age. After adjusting for age and BMI, the within-woman correlation estimates for normalized DA were 0.94, 0.93, 0.91, 0.91, and 0.91 for mammograms taken 2, 4, 6, 8, and 10 years apart, respectively. Similar correlations were estimated for the age- and BMI-adjusted normalized PDA and NDA. The mammographic measures that predict breast cancer risk are highly correlated over time. This has implications for etiologic research and clinical management whereby women at increased risk could be identified at a young age (e.g., early 40s or even younger) and recommended appropriate screening and prevention strategies. .
ISSN:1055-9965
1538-7755
DOI:10.1158/1055-9965.EPI-16-0499