Automated percent mammographic density, mammographic texture variation, and risk of breast cancer: a nested case-control study

Abstract Percent mammographic density (PMD) is a strong breast cancer risk factor, however, other mammographic features, such as V, the standard deviation (SD) of pixel intensity, may be associated with risk. We assessed whether PMD, automated PMD (APD), and V, yielded independent associations with...

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Autores principales: Erica T. Warner, Megan S. Rice, Oana A. Zeleznik, Erin E. Fowler, Divya Murthy, Celine M. Vachon, Kimberly A. Bertrand, Bernard A. Rosner, John Heine, Rulla M. Tamimi
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/38e65c2a56f14278945713b23d59b86a
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spelling oai:doaj.org-article:38e65c2a56f14278945713b23d59b86a2021-12-02T15:02:54ZAutomated percent mammographic density, mammographic texture variation, and risk of breast cancer: a nested case-control study10.1038/s41523-021-00272-22374-4677https://doaj.org/article/38e65c2a56f14278945713b23d59b86a2021-05-01T00:00:00Zhttps://doi.org/10.1038/s41523-021-00272-2https://doaj.org/toc/2374-4677Abstract Percent mammographic density (PMD) is a strong breast cancer risk factor, however, other mammographic features, such as V, the standard deviation (SD) of pixel intensity, may be associated with risk. We assessed whether PMD, automated PMD (APD), and V, yielded independent associations with breast cancer risk. We included 1900 breast cancer cases and 3921 matched controls from the Nurses’ Health Study (NHS) and the NHSII. Using digitized film mammograms, we estimated PMD using a computer-assisted thresholding technique. APD and V were determined using an automated computer algorithm. We used logistic regression to generate odds ratios (ORs) and 95% confidence intervals (CIs). Median time from mammogram to diagnosis was 4.1 years (interquartile range: 1.6–6.8 years). PMD (OR per SD:1.52, 95% CI: 1.42, 1.63), APD (OR per SD:1.32, 95% CI: 1.24, 1.41), and V (OR per SD:1.32, 95% CI: 1.24, 1.40) were positively associated with breast cancer risk. Associations for APD were attenuated but remained statistically significant after mutual adjustment for PMD or V. Women in the highest quartile of both APD and V (OR vs Q1/Q1: 2.49, 95% CI: 2.02, 3.06), or PMD and V (OR vs Q1/Q1: 3.57, 95% CI: 2.79, 4.58) had increased breast cancer risk. An automated method of PMD assessment is feasible and yields similar, but somewhat weaker, estimates to a manual measure. PMD, APD and V are each independently, positively associated with breast cancer risk. Women with dense breasts and greater texture variation are at the highest relative risk of breast cancer.Erica T. WarnerMegan S. RiceOana A. ZeleznikErin E. FowlerDivya MurthyCeline M. VachonKimberly A. BertrandBernard A. RosnerJohn HeineRulla M. TamimiNature PortfolioarticleNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENnpj Breast Cancer, Vol 7, Iss 1, Pp 1-8 (2021)
institution DOAJ
collection DOAJ
language EN
topic Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
spellingShingle Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Erica T. Warner
Megan S. Rice
Oana A. Zeleznik
Erin E. Fowler
Divya Murthy
Celine M. Vachon
Kimberly A. Bertrand
Bernard A. Rosner
John Heine
Rulla M. Tamimi
Automated percent mammographic density, mammographic texture variation, and risk of breast cancer: a nested case-control study
description Abstract Percent mammographic density (PMD) is a strong breast cancer risk factor, however, other mammographic features, such as V, the standard deviation (SD) of pixel intensity, may be associated with risk. We assessed whether PMD, automated PMD (APD), and V, yielded independent associations with breast cancer risk. We included 1900 breast cancer cases and 3921 matched controls from the Nurses’ Health Study (NHS) and the NHSII. Using digitized film mammograms, we estimated PMD using a computer-assisted thresholding technique. APD and V were determined using an automated computer algorithm. We used logistic regression to generate odds ratios (ORs) and 95% confidence intervals (CIs). Median time from mammogram to diagnosis was 4.1 years (interquartile range: 1.6–6.8 years). PMD (OR per SD:1.52, 95% CI: 1.42, 1.63), APD (OR per SD:1.32, 95% CI: 1.24, 1.41), and V (OR per SD:1.32, 95% CI: 1.24, 1.40) were positively associated with breast cancer risk. Associations for APD were attenuated but remained statistically significant after mutual adjustment for PMD or V. Women in the highest quartile of both APD and V (OR vs Q1/Q1: 2.49, 95% CI: 2.02, 3.06), or PMD and V (OR vs Q1/Q1: 3.57, 95% CI: 2.79, 4.58) had increased breast cancer risk. An automated method of PMD assessment is feasible and yields similar, but somewhat weaker, estimates to a manual measure. PMD, APD and V are each independently, positively associated with breast cancer risk. Women with dense breasts and greater texture variation are at the highest relative risk of breast cancer.
format article
author Erica T. Warner
Megan S. Rice
Oana A. Zeleznik
Erin E. Fowler
Divya Murthy
Celine M. Vachon
Kimberly A. Bertrand
Bernard A. Rosner
John Heine
Rulla M. Tamimi
author_facet Erica T. Warner
Megan S. Rice
Oana A. Zeleznik
Erin E. Fowler
Divya Murthy
Celine M. Vachon
Kimberly A. Bertrand
Bernard A. Rosner
John Heine
Rulla M. Tamimi
author_sort Erica T. Warner
title Automated percent mammographic density, mammographic texture variation, and risk of breast cancer: a nested case-control study
title_short Automated percent mammographic density, mammographic texture variation, and risk of breast cancer: a nested case-control study
title_full Automated percent mammographic density, mammographic texture variation, and risk of breast cancer: a nested case-control study
title_fullStr Automated percent mammographic density, mammographic texture variation, and risk of breast cancer: a nested case-control study
title_full_unstemmed Automated percent mammographic density, mammographic texture variation, and risk of breast cancer: a nested case-control study
title_sort automated percent mammographic density, mammographic texture variation, and risk of breast cancer: a nested case-control study
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/38e65c2a56f14278945713b23d59b86a
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