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Mammographic breast density in infertile and parous women
BACKGROUND: Mammographic breast density is a useful marker for breast cancer risk, as breast density is considered one of the strongest breast cancer risk factors. The study objective was to evaluate and compare mammographic breast density in infertile and parous women, as infertility may be associa...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4748487/ https://www.ncbi.nlm.nih.gov/pubmed/26861058 http://dx.doi.org/10.1186/s12905-016-0284-8 |
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author | Letizia, Meggiorini Maria Rita, Vestri Anna Grazia, De Stefano Maria Valentina, Cipolla Filippo, Bellati Diana, Maffucci Paola, Nusiner Maria Cesare, Aragona Carlo, De Felice |
author_facet | Letizia, Meggiorini Maria Rita, Vestri Anna Grazia, De Stefano Maria Valentina, Cipolla Filippo, Bellati Diana, Maffucci Paola, Nusiner Maria Cesare, Aragona Carlo, De Felice |
author_sort | Letizia, Meggiorini Maria |
collection | PubMed |
description | BACKGROUND: Mammographic breast density is a useful marker for breast cancer risk, as breast density is considered one of the strongest breast cancer risk factors. The study objective was to evaluate and compare mammographic breast density in infertile and parous women, as infertility may be associated with high breast density and cancer occurrence. METHODS: This study evaluated mammographic breast density using two different systems, BIRADS and Boyd. A selected patient population of 151 women with primary infertility (case group) was compared to 154 parous women who had at least one previous pregnancy (control group). Both groups were premenopausal women aged ≥35. RESULTS: Evaluation of mammographic features showed that 66.9 % of case group patients and 53.9 % of control group patients were classified BIRADS-3/BIRADS-4; p < 0.05. Adjusted Odds ratio for the case group in the categories BIRADS-3/BIRADS-4 was 1.78 (95 % CI: 1.10-2.89). Using the Boyd classification system, 53.6 % of case group patients and 31.8 % of control group patients were classified E/F; p < 0.05. Adjusted Odds ratio for case group patients in Boyd categories E/F was 2.05 (95 % CI: 1.07-3.93). CONCLUSIONS: Both systems yielded a higher percentage of increased breast density in the case group. Boyd and BIRADS classification systems indicate to what extend breast cancer lesions may be missed on mammography due to masking by dense tissue. Therefore, patients with a high BIRADS or Boyd score should undergo further investigation. |
format | Online Article Text |
id | pubmed-4748487 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-47484872016-02-11 Mammographic breast density in infertile and parous women Letizia, Meggiorini Maria Rita, Vestri Anna Grazia, De Stefano Maria Valentina, Cipolla Filippo, Bellati Diana, Maffucci Paola, Nusiner Maria Cesare, Aragona Carlo, De Felice BMC Womens Health Research Article BACKGROUND: Mammographic breast density is a useful marker for breast cancer risk, as breast density is considered one of the strongest breast cancer risk factors. The study objective was to evaluate and compare mammographic breast density in infertile and parous women, as infertility may be associated with high breast density and cancer occurrence. METHODS: This study evaluated mammographic breast density using two different systems, BIRADS and Boyd. A selected patient population of 151 women with primary infertility (case group) was compared to 154 parous women who had at least one previous pregnancy (control group). Both groups were premenopausal women aged ≥35. RESULTS: Evaluation of mammographic features showed that 66.9 % of case group patients and 53.9 % of control group patients were classified BIRADS-3/BIRADS-4; p < 0.05. Adjusted Odds ratio for the case group in the categories BIRADS-3/BIRADS-4 was 1.78 (95 % CI: 1.10-2.89). Using the Boyd classification system, 53.6 % of case group patients and 31.8 % of control group patients were classified E/F; p < 0.05. Adjusted Odds ratio for case group patients in Boyd categories E/F was 2.05 (95 % CI: 1.07-3.93). CONCLUSIONS: Both systems yielded a higher percentage of increased breast density in the case group. Boyd and BIRADS classification systems indicate to what extend breast cancer lesions may be missed on mammography due to masking by dense tissue. Therefore, patients with a high BIRADS or Boyd score should undergo further investigation. BioMed Central 2016-02-09 /pmc/articles/PMC4748487/ /pubmed/26861058 http://dx.doi.org/10.1186/s12905-016-0284-8 Text en © Letizia 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 Letizia, Meggiorini Maria Rita, Vestri Anna Grazia, De Stefano Maria Valentina, Cipolla Filippo, Bellati Diana, Maffucci Paola, Nusiner Maria Cesare, Aragona Carlo, De Felice Mammographic breast density in infertile and parous women |
title | Mammographic breast density in infertile and parous women |
title_full | Mammographic breast density in infertile and parous women |
title_fullStr | Mammographic breast density in infertile and parous women |
title_full_unstemmed | Mammographic breast density in infertile and parous women |
title_short | Mammographic breast density in infertile and parous women |
title_sort | mammographic breast density in infertile and parous women |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4748487/ https://www.ncbi.nlm.nih.gov/pubmed/26861058 http://dx.doi.org/10.1186/s12905-016-0284-8 |
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