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The FEDRA Longitudinal Study: Repeated Volumetric Breast Density Measures and Breast Cancer Risk

SIMPLE SUMMARY: Mammographic breast density is a strong independent risk factor for breast cancer. We investigated the association between volumetric mammographic breast density measures, their changes over time, and breast cancer risk in a cohort of women participating in the FEDRA (Florence-EPIC D...

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Autores principales: Masala, Giovanna, Assedi, Melania, Bendinelli, Benedetta, Pastore, Elisa, Gilio, Maria Antonietta, Mazzalupo, Vincenzo, Querci, Andrea, Fontana, Miriam, Duroni, Giacomo, Facchini, Luigi, Saieva, Calogero, Palli, Domenico, Ambrogetti, Daniela, Caini, Saverio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10046534/
https://www.ncbi.nlm.nih.gov/pubmed/36980696
http://dx.doi.org/10.3390/cancers15061810
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author Masala, Giovanna
Assedi, Melania
Bendinelli, Benedetta
Pastore, Elisa
Gilio, Maria Antonietta
Mazzalupo, Vincenzo
Querci, Andrea
Fontana, Miriam
Duroni, Giacomo
Facchini, Luigi
Saieva, Calogero
Palli, Domenico
Ambrogetti, Daniela
Caini, Saverio
author_facet Masala, Giovanna
Assedi, Melania
Bendinelli, Benedetta
Pastore, Elisa
Gilio, Maria Antonietta
Mazzalupo, Vincenzo
Querci, Andrea
Fontana, Miriam
Duroni, Giacomo
Facchini, Luigi
Saieva, Calogero
Palli, Domenico
Ambrogetti, Daniela
Caini, Saverio
author_sort Masala, Giovanna
collection PubMed
description SIMPLE SUMMARY: Mammographic breast density is a strong independent risk factor for breast cancer. We investigated the association between volumetric mammographic breast density measures, their changes over time, and breast cancer risk in a cohort of women participating in the FEDRA (Florence-EPIC Digital mammographic density and breast cancer Risk Assessment) study. For the 6148 study women (262 breast cancer cases, average 7.8 years of follow-up), repeated measures of mammographic breast density from full-field digital mammograms and repeated information on lifestyle habits, reproductive history, and anthropometry were available. The association between mammographic breast density measures (modeled as time-dependent covariates), their relative annual changes, and breast cancer risk was evaluated by adjusted Cox models. Higher values of volumetric percent density and dense volume were positively associated with increased breast cancer risk, while an inverse association was evident for increasing non-dense volume. No clear effect of annual changes in mammographic breast density emerged. ABSTRACT: Mammographic breast density (MBD) is a strong independent risk factor for breast cancer (BC). We investigated the association between volumetric MBD measures, their changes over time, and BC risk in a cohort of women participating in the FEDRA (Florence-EPIC Digital mammographic density and breast cancer Risk Assessment) study. The study was carried out among 6148 women with repeated MBD measures from full-field digital mammograms and repeated information on lifestyle habits, reproductive history, and anthropometry. The association between MBD measures (modeled as time-dependent covariates), their relative annual changes, and BC risk were evaluated by adjusted Cox models. During an average of 7.8 years of follow-up, 262 BC cases were identified. BC risk was directly associated with standard deviation increments of volumetric percent density (VPD, HR 1.37, 95%CI 1.22–1.54) and dense volume (DV, HR 1.29, 95%CI 1.18–1.41). An inverse association emerged with non-dense volume (NDV, HR 0.82, 95%CI 0.69–0.98). No significant associations emerged between annual changes in VPD, DV, NDV, and BC risk. Higher values of MBD measures, modeled as time-dependent covariates, were positively associated with increased BC risk, while an inverse association was evident for increasing NDV. No effect of annual changes in MBD emerged.
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spelling pubmed-100465342023-03-29 The FEDRA Longitudinal Study: Repeated Volumetric Breast Density Measures and Breast Cancer Risk Masala, Giovanna Assedi, Melania Bendinelli, Benedetta Pastore, Elisa Gilio, Maria Antonietta Mazzalupo, Vincenzo Querci, Andrea Fontana, Miriam Duroni, Giacomo Facchini, Luigi Saieva, Calogero Palli, Domenico Ambrogetti, Daniela Caini, Saverio Cancers (Basel) Article SIMPLE SUMMARY: Mammographic breast density is a strong independent risk factor for breast cancer. We investigated the association between volumetric mammographic breast density measures, their changes over time, and breast cancer risk in a cohort of women participating in the FEDRA (Florence-EPIC Digital mammographic density and breast cancer Risk Assessment) study. For the 6148 study women (262 breast cancer cases, average 7.8 years of follow-up), repeated measures of mammographic breast density from full-field digital mammograms and repeated information on lifestyle habits, reproductive history, and anthropometry were available. The association between mammographic breast density measures (modeled as time-dependent covariates), their relative annual changes, and breast cancer risk was evaluated by adjusted Cox models. Higher values of volumetric percent density and dense volume were positively associated with increased breast cancer risk, while an inverse association was evident for increasing non-dense volume. No clear effect of annual changes in mammographic breast density emerged. ABSTRACT: Mammographic breast density (MBD) is a strong independent risk factor for breast cancer (BC). We investigated the association between volumetric MBD measures, their changes over time, and BC risk in a cohort of women participating in the FEDRA (Florence-EPIC Digital mammographic density and breast cancer Risk Assessment) study. The study was carried out among 6148 women with repeated MBD measures from full-field digital mammograms and repeated information on lifestyle habits, reproductive history, and anthropometry. The association between MBD measures (modeled as time-dependent covariates), their relative annual changes, and BC risk were evaluated by adjusted Cox models. During an average of 7.8 years of follow-up, 262 BC cases were identified. BC risk was directly associated with standard deviation increments of volumetric percent density (VPD, HR 1.37, 95%CI 1.22–1.54) and dense volume (DV, HR 1.29, 95%CI 1.18–1.41). An inverse association emerged with non-dense volume (NDV, HR 0.82, 95%CI 0.69–0.98). No significant associations emerged between annual changes in VPD, DV, NDV, and BC risk. Higher values of MBD measures, modeled as time-dependent covariates, were positively associated with increased BC risk, while an inverse association was evident for increasing NDV. No effect of annual changes in MBD emerged. MDPI 2023-03-16 /pmc/articles/PMC10046534/ /pubmed/36980696 http://dx.doi.org/10.3390/cancers15061810 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Masala, Giovanna
Assedi, Melania
Bendinelli, Benedetta
Pastore, Elisa
Gilio, Maria Antonietta
Mazzalupo, Vincenzo
Querci, Andrea
Fontana, Miriam
Duroni, Giacomo
Facchini, Luigi
Saieva, Calogero
Palli, Domenico
Ambrogetti, Daniela
Caini, Saverio
The FEDRA Longitudinal Study: Repeated Volumetric Breast Density Measures and Breast Cancer Risk
title The FEDRA Longitudinal Study: Repeated Volumetric Breast Density Measures and Breast Cancer Risk
title_full The FEDRA Longitudinal Study: Repeated Volumetric Breast Density Measures and Breast Cancer Risk
title_fullStr The FEDRA Longitudinal Study: Repeated Volumetric Breast Density Measures and Breast Cancer Risk
title_full_unstemmed The FEDRA Longitudinal Study: Repeated Volumetric Breast Density Measures and Breast Cancer Risk
title_short The FEDRA Longitudinal Study: Repeated Volumetric Breast Density Measures and Breast Cancer Risk
title_sort fedra longitudinal study: repeated volumetric breast density measures and breast cancer risk
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10046534/
https://www.ncbi.nlm.nih.gov/pubmed/36980696
http://dx.doi.org/10.3390/cancers15061810
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