Changes in mammographic density over time and the risk of breast cancer: An observational cohort study.
Breast neoplasms
Longitudinal studies
Mammographic density
Mass screening
Journal
Breast (Edinburgh, Scotland)
ISSN: 1532-3080
Titre abrégé: Breast
Pays: Netherlands
ID NLM: 9213011
Informations de publication
Date de publication:
Aug 2019
Aug 2019
Historique:
received:
01
02
2019
revised:
16
04
2019
accepted:
26
04
2019
pubmed:
28
5
2019
medline:
15
1
2020
entrez:
28
5
2019
Statut:
ppublish
Résumé
The effect of changes in mammographic density over time on the risk of breast cancer remains inconclusive. We used information from four centres of the Breast Cancer Screening Program in Spain in the period 1996-2015. We analysed individual level data from 117,388 women first screened age 50-54, with at least two screening examinations. Breast density was determined using the BI-RADS classification (A to D in increasing order) at earliest and latest screening examination. Adjusted Poisson regression models were used to estimate the relative risk (RR) and 95% confidence intervals (95%CI) of the association between changes in mammographic density and breast cancer risk over time. During an average 5.8 years of follow-up, 1592 (1.36%) women had a breast cancer diagnosis. An increase in density category increased breast cancer risk, and a decrease in density decreased the risk, compared with women who remained in the same BI-RADS category. Women whose density category increased from B to C or B to D had a RR of 1.55 (95%CI = 1.24-1.94) and 2.32 (95%CI = 1.48-3.63), respectively. The RR for women whose density increased from C to D was 1.51 (95%CI = 1.03-2.22). Changes in BI-RADS density were similarly associated with the risk for invasive cancer than for ductal carcinoma in situ. Although a modest proportion of women changed BI-RADS density category, mammographic density changes modulated the risk of breast cancer and identified women at a differential risk. Using two longitudinal measures of BI-RADS density could help target women for risk-based screening strategies.
Sections du résumé
BACKGROUND
BACKGROUND
The effect of changes in mammographic density over time on the risk of breast cancer remains inconclusive.
METHODS
METHODS
We used information from four centres of the Breast Cancer Screening Program in Spain in the period 1996-2015. We analysed individual level data from 117,388 women first screened age 50-54, with at least two screening examinations. Breast density was determined using the BI-RADS classification (A to D in increasing order) at earliest and latest screening examination. Adjusted Poisson regression models were used to estimate the relative risk (RR) and 95% confidence intervals (95%CI) of the association between changes in mammographic density and breast cancer risk over time.
RESULTS
RESULTS
During an average 5.8 years of follow-up, 1592 (1.36%) women had a breast cancer diagnosis. An increase in density category increased breast cancer risk, and a decrease in density decreased the risk, compared with women who remained in the same BI-RADS category. Women whose density category increased from B to C or B to D had a RR of 1.55 (95%CI = 1.24-1.94) and 2.32 (95%CI = 1.48-3.63), respectively. The RR for women whose density increased from C to D was 1.51 (95%CI = 1.03-2.22). Changes in BI-RADS density were similarly associated with the risk for invasive cancer than for ductal carcinoma in situ.
CONCLUSIONS
CONCLUSIONS
Although a modest proportion of women changed BI-RADS density category, mammographic density changes modulated the risk of breast cancer and identified women at a differential risk. Using two longitudinal measures of BI-RADS density could help target women for risk-based screening strategies.
Identifiants
pubmed: 31132476
pii: S0960-9776(19)30494-1
doi: 10.1016/j.breast.2019.04.007
pii:
doi:
Types de publication
Journal Article
Observational Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
108-115Investigateurs
Andrea Burón
(A)
Xavier Castells
(X)
Laia Domingo
(L)
Javier Louro
(J)
Margarita Posso
(M)
Ana Rodríguez-Arana
(A)
Marta Román
(M)
Maria Sala
(M)
Sònia Servitja
(S)
Mar Vernet
(M)
Xavier Andreu
(X)
Marisa Baré
(M)
Llucia Benito
(L)
Carmen Vidal
(C)
María Jesús Quintana
(MJ)
Judit Solà-Roca
(J)
Mar Sánchez
(M)
Miguel Prieto
(M)
Jaume Galceran
(J)
Francina Saladié
(F)
Joana Ferrer
(J)
Josep Alfons Espinàs
(JA)
Lupe Peñalva
(L)
Isabel Torá-Rocamora
(I)
Xavier Bargalló
(X)
Informations de copyright
Copyright © 2019 Elsevier Ltd. All rights reserved.