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Case-control study of mammographic density and breast cancer risk using processed digital mammograms

BACKGROUND: Full-field digital mammography (FFDM) has largely replaced film-screen mammography in the US. Breast density assessed from film mammograms is strongly associated with breast cancer risk, but data are limited for processed FFDM images used for clinical care. METHODS: We conducted a case-c...

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Autores principales: Habel, Laurel A., Lipson, Jafi A., Achacoso, Ninah, Rothstein, Joseph H., Yaffe, Martin J., Liang, Rhea Y., Acton, Luana, McGuire, Valerie, Whittemore, Alice S., Rubin, Daniel L., Sieh, Weiva
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4875652/
https://www.ncbi.nlm.nih.gov/pubmed/27209070
http://dx.doi.org/10.1186/s13058-016-0715-3
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author Habel, Laurel A.
Lipson, Jafi A.
Achacoso, Ninah
Rothstein, Joseph H.
Yaffe, Martin J.
Liang, Rhea Y.
Acton, Luana
McGuire, Valerie
Whittemore, Alice S.
Rubin, Daniel L.
Sieh, Weiva
author_facet Habel, Laurel A.
Lipson, Jafi A.
Achacoso, Ninah
Rothstein, Joseph H.
Yaffe, Martin J.
Liang, Rhea Y.
Acton, Luana
McGuire, Valerie
Whittemore, Alice S.
Rubin, Daniel L.
Sieh, Weiva
author_sort Habel, Laurel A.
collection PubMed
description BACKGROUND: Full-field digital mammography (FFDM) has largely replaced film-screen mammography in the US. Breast density assessed from film mammograms is strongly associated with breast cancer risk, but data are limited for processed FFDM images used for clinical care. METHODS: We conducted a case-control study nested among non-Hispanic white female participants of the Research Program in Genes, Environment and Health of Kaiser Permanente Northern California who were aged 40 to 74 years and had screening mammograms acquired on Hologic FFDM machines. Cases (n = 297) were women with a first invasive breast cancer diagnosed after a screening FFDM. For each case, up to five controls (n = 1149) were selected, matched on age and year of FFDM and image batch number, and who were still under follow-up and without a history of breast cancer at the age of diagnosis of the matched case. Percent density (PD) and dense area (DA) were assessed by a radiological technologist using Cumulus. Conditional logistic regression was used to estimate odds ratios (ORs) for breast cancer associated with PD and DA, modeled continuously in standard deviation (SD) increments and categorically in quintiles, after adjusting for body mass index, parity, first-degree family history of breast cancer, breast area, and menopausal hormone use. RESULTS: Median intra-reader reproducibility was high with a Pearson’s r of 0.956 (range 0.902 to 0.983) for replicate PD measurements across 23 image batches. The overall mean was 20.02 (SD, 14.61) for PD and 27.63 cm(2) (18.22 cm(2)) for DA. The adjusted ORs for breast cancer associated with each SD increment were 1.70 (95 % confidence interval, 1.41–2.04) for PD, and 1.54 (1.34–1.77) for DA. The adjusted ORs for each quintile were: 1.00 (ref.), 1.49 (0.91–2.45), 2.57 (1.54–4.30), 3.22 (1.91–5.43), 4.88 (2.78–8.55) for PD, and 1.00 (ref.), 1.43 (0.85–2.40), 2.53 (1.53–4.19), 2.85 (1.73–4.69), 3.48 (2.14–5.65) for DA. CONCLUSIONS: PD and DA measured using Cumulus on processed FFDM images are positively associated with breast cancer risk, with similar magnitudes of association as previously reported for film-screen mammograms. Processed digital mammograms acquired for routine clinical care in a general practice setting are suitable for breast density and cancer research.
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spelling pubmed-48756522016-05-22 Case-control study of mammographic density and breast cancer risk using processed digital mammograms Habel, Laurel A. Lipson, Jafi A. Achacoso, Ninah Rothstein, Joseph H. Yaffe, Martin J. Liang, Rhea Y. Acton, Luana McGuire, Valerie Whittemore, Alice S. Rubin, Daniel L. Sieh, Weiva Breast Cancer Res Research Article BACKGROUND: Full-field digital mammography (FFDM) has largely replaced film-screen mammography in the US. Breast density assessed from film mammograms is strongly associated with breast cancer risk, but data are limited for processed FFDM images used for clinical care. METHODS: We conducted a case-control study nested among non-Hispanic white female participants of the Research Program in Genes, Environment and Health of Kaiser Permanente Northern California who were aged 40 to 74 years and had screening mammograms acquired on Hologic FFDM machines. Cases (n = 297) were women with a first invasive breast cancer diagnosed after a screening FFDM. For each case, up to five controls (n = 1149) were selected, matched on age and year of FFDM and image batch number, and who were still under follow-up and without a history of breast cancer at the age of diagnosis of the matched case. Percent density (PD) and dense area (DA) were assessed by a radiological technologist using Cumulus. Conditional logistic regression was used to estimate odds ratios (ORs) for breast cancer associated with PD and DA, modeled continuously in standard deviation (SD) increments and categorically in quintiles, after adjusting for body mass index, parity, first-degree family history of breast cancer, breast area, and menopausal hormone use. RESULTS: Median intra-reader reproducibility was high with a Pearson’s r of 0.956 (range 0.902 to 0.983) for replicate PD measurements across 23 image batches. The overall mean was 20.02 (SD, 14.61) for PD and 27.63 cm(2) (18.22 cm(2)) for DA. The adjusted ORs for breast cancer associated with each SD increment were 1.70 (95 % confidence interval, 1.41–2.04) for PD, and 1.54 (1.34–1.77) for DA. The adjusted ORs for each quintile were: 1.00 (ref.), 1.49 (0.91–2.45), 2.57 (1.54–4.30), 3.22 (1.91–5.43), 4.88 (2.78–8.55) for PD, and 1.00 (ref.), 1.43 (0.85–2.40), 2.53 (1.53–4.19), 2.85 (1.73–4.69), 3.48 (2.14–5.65) for DA. CONCLUSIONS: PD and DA measured using Cumulus on processed FFDM images are positively associated with breast cancer risk, with similar magnitudes of association as previously reported for film-screen mammograms. Processed digital mammograms acquired for routine clinical care in a general practice setting are suitable for breast density and cancer research. BioMed Central 2016-05-21 2016 /pmc/articles/PMC4875652/ /pubmed/27209070 http://dx.doi.org/10.1186/s13058-016-0715-3 Text en © Habel et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Habel, Laurel A.
Lipson, Jafi A.
Achacoso, Ninah
Rothstein, Joseph H.
Yaffe, Martin J.
Liang, Rhea Y.
Acton, Luana
McGuire, Valerie
Whittemore, Alice S.
Rubin, Daniel L.
Sieh, Weiva
Case-control study of mammographic density and breast cancer risk using processed digital mammograms
title Case-control study of mammographic density and breast cancer risk using processed digital mammograms
title_full Case-control study of mammographic density and breast cancer risk using processed digital mammograms
title_fullStr Case-control study of mammographic density and breast cancer risk using processed digital mammograms
title_full_unstemmed Case-control study of mammographic density and breast cancer risk using processed digital mammograms
title_short Case-control study of mammographic density and breast cancer risk using processed digital mammograms
title_sort case-control study of mammographic density and breast cancer risk using processed digital mammograms
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4875652/
https://www.ncbi.nlm.nih.gov/pubmed/27209070
http://dx.doi.org/10.1186/s13058-016-0715-3
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