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Evaluation of the association between mammographic density and the risk of breast cancer using Quantra software and the BI-RADS classification

To determine the association between mammographic density (MD) and the risk of breast cancer (BC) in Chinese women and to investigate the role of fertility risk factors in regulating the relationship between MD and BC. We used Quantra software and the BI-RADS classification to assess MD in 466 patie...

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Autores principales: Wang, Jian Ming, Zhao, Hong Guang, Liu, Tong Tong, Wang, Fei Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7668426/
https://www.ncbi.nlm.nih.gov/pubmed/33181680
http://dx.doi.org/10.1097/MD.0000000000023112
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author Wang, Jian Ming
Zhao, Hong Guang
Liu, Tong Tong
Wang, Fei Yang
author_facet Wang, Jian Ming
Zhao, Hong Guang
Liu, Tong Tong
Wang, Fei Yang
author_sort Wang, Jian Ming
collection PubMed
description To determine the association between mammographic density (MD) and the risk of breast cancer (BC) in Chinese women and to investigate the role of fertility risk factors in regulating the relationship between MD and BC. We used Quantra software and the BI-RADS classification to assess MD in 466 patients and 932 controls. Conditional matched logistic multiple regression analysis was used to determine the relationship between MD and BC, and risk was evaluated with the odds ratio (OR) and 95% confidence interval (CI). The ORs for category 4 versus category 2 were 1.95 (95% confidence interval [95% CI] (1.42∼2.66)) and 1.76 (95% CI (1.28∼2.42)) for the BI-RADS and Quantra classifications, respectively. The ORs for category 5 volumetric breast density (VBD) versus category 2 VBD and 5 fibroglandular tissue volume (FGV) versus category 2 FGV were 1.63 (95% CI (1.20∼2.23)) and 1.92 (95% CI (1.40∼2.63)), respectively. Females with category 5 VBD whose age at menarche was ≤13 years had the highest risk of BC (OR = 2.16, 95% CI (1.24∼3.79)), and females with category 5 FGV whose age at menarche was = 15 years had the lowest risk of BC (OR = 1.65, 95% CI (1.05∼2.62)). Females with categories 3–5 VBD and categories 3–5 FGV had reduced risks of BC with increasing number of births. Females with category 5 VBD had an increased risk of BC with increasing age at first childbirth (the OR increased from 1.49 to 1.95). Those with category 5 VBD had a reduced risk of BC with increasing breastfeeding duration (the OR decreased from 2.08 to 1.55). Females with category 5 FGV had a reduced risk of BC with increasing breastfeeding duration (the OR decreased from 4.12 to 1.62). Both the BI-RADS density classification and Quantra measures indicated that MD is positively associated with the risk of BC in Chinese women and that associations between MD and BC risk differ by age at menarche, parity, age at first childbirth and breastfeeding duration.
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spelling pubmed-76684262020-11-17 Evaluation of the association between mammographic density and the risk of breast cancer using Quantra software and the BI-RADS classification Wang, Jian Ming Zhao, Hong Guang Liu, Tong Tong Wang, Fei Yang Medicine (Baltimore) 5750 To determine the association between mammographic density (MD) and the risk of breast cancer (BC) in Chinese women and to investigate the role of fertility risk factors in regulating the relationship between MD and BC. We used Quantra software and the BI-RADS classification to assess MD in 466 patients and 932 controls. Conditional matched logistic multiple regression analysis was used to determine the relationship between MD and BC, and risk was evaluated with the odds ratio (OR) and 95% confidence interval (CI). The ORs for category 4 versus category 2 were 1.95 (95% confidence interval [95% CI] (1.42∼2.66)) and 1.76 (95% CI (1.28∼2.42)) for the BI-RADS and Quantra classifications, respectively. The ORs for category 5 volumetric breast density (VBD) versus category 2 VBD and 5 fibroglandular tissue volume (FGV) versus category 2 FGV were 1.63 (95% CI (1.20∼2.23)) and 1.92 (95% CI (1.40∼2.63)), respectively. Females with category 5 VBD whose age at menarche was ≤13 years had the highest risk of BC (OR = 2.16, 95% CI (1.24∼3.79)), and females with category 5 FGV whose age at menarche was = 15 years had the lowest risk of BC (OR = 1.65, 95% CI (1.05∼2.62)). Females with categories 3–5 VBD and categories 3–5 FGV had reduced risks of BC with increasing number of births. Females with category 5 VBD had an increased risk of BC with increasing age at first childbirth (the OR increased from 1.49 to 1.95). Those with category 5 VBD had a reduced risk of BC with increasing breastfeeding duration (the OR decreased from 2.08 to 1.55). Females with category 5 FGV had a reduced risk of BC with increasing breastfeeding duration (the OR decreased from 4.12 to 1.62). Both the BI-RADS density classification and Quantra measures indicated that MD is positively associated with the risk of BC in Chinese women and that associations between MD and BC risk differ by age at menarche, parity, age at first childbirth and breastfeeding duration. Lippincott Williams & Wilkins 2020-11-13 /pmc/articles/PMC7668426/ /pubmed/33181680 http://dx.doi.org/10.1097/MD.0000000000023112 Text en Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0
spellingShingle 5750
Wang, Jian Ming
Zhao, Hong Guang
Liu, Tong Tong
Wang, Fei Yang
Evaluation of the association between mammographic density and the risk of breast cancer using Quantra software and the BI-RADS classification
title Evaluation of the association between mammographic density and the risk of breast cancer using Quantra software and the BI-RADS classification
title_full Evaluation of the association between mammographic density and the risk of breast cancer using Quantra software and the BI-RADS classification
title_fullStr Evaluation of the association between mammographic density and the risk of breast cancer using Quantra software and the BI-RADS classification
title_full_unstemmed Evaluation of the association between mammographic density and the risk of breast cancer using Quantra software and the BI-RADS classification
title_short Evaluation of the association between mammographic density and the risk of breast cancer using Quantra software and the BI-RADS classification
title_sort evaluation of the association between mammographic density and the risk of breast cancer using quantra software and the bi-rads classification
topic 5750
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7668426/
https://www.ncbi.nlm.nih.gov/pubmed/33181680
http://dx.doi.org/10.1097/MD.0000000000023112
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