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Volumetric breast density affects performance of digital screening mammography

PURPOSE: To determine to what extent automatically measured volumetric mammographic density influences screening performance when using digital mammography (DM). METHODS: We collected a consecutive series of 111,898 DM examinations (2003–2011) from one screening unit of the Dutch biennial screening...

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Autores principales: Wanders, Johanna O. P., Holland, Katharina, Veldhuis, Wouter B., Mann, Ritse M., Pijnappel, Ruud M., Peeters, Petra H. M., van Gils, Carla H., Karssemeijer, Nico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5288416/
https://www.ncbi.nlm.nih.gov/pubmed/28012087
http://dx.doi.org/10.1007/s10549-016-4090-7
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author Wanders, Johanna O. P.
Holland, Katharina
Veldhuis, Wouter B.
Mann, Ritse M.
Pijnappel, Ruud M.
Peeters, Petra H. M.
van Gils, Carla H.
Karssemeijer, Nico
author_facet Wanders, Johanna O. P.
Holland, Katharina
Veldhuis, Wouter B.
Mann, Ritse M.
Pijnappel, Ruud M.
Peeters, Petra H. M.
van Gils, Carla H.
Karssemeijer, Nico
author_sort Wanders, Johanna O. P.
collection PubMed
description PURPOSE: To determine to what extent automatically measured volumetric mammographic density influences screening performance when using digital mammography (DM). METHODS: We collected a consecutive series of 111,898 DM examinations (2003–2011) from one screening unit of the Dutch biennial screening program (age 50–75 years). Volumetric mammographic density was automatically assessed using Volpara. We determined screening performance measures for four density categories comparable to the American College of Radiology (ACR) breast density categories. RESULTS: Of all the examinations, 21.6% were categorized as density category 1 (‘almost entirely fatty’) and 41.5, 28.9, and 8.0% as category 2–4 (‘extremely dense’), respectively. We identified 667 screen-detected and 234 interval cancers. Interval cancer rates were 0.7, 1.9, 2.9, and 4.4‰ and false positive rates were 11.2, 15.1, 18.2, and 23.8‰ for categories 1–4, respectively (both p-trend < 0.001). The screening sensitivity, calculated as the proportion of screen-detected among the total of screen-detected and interval tumors, was lower in higher density categories: 85.7, 77.6, 69.5, and 61.0% for categories 1–4, respectively (p-trend < 0.001). CONCLUSIONS: Volumetric mammographic density, automatically measured on digital mammograms, impacts screening performance measures along the same patterns as established with ACR breast density categories. Since measuring breast density fully automatically has much higher reproducibility than visual assessment, this automatic method could help with implementing density-based supplemental screening.
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spelling pubmed-52884162017-02-16 Volumetric breast density affects performance of digital screening mammography Wanders, Johanna O. P. Holland, Katharina Veldhuis, Wouter B. Mann, Ritse M. Pijnappel, Ruud M. Peeters, Petra H. M. van Gils, Carla H. Karssemeijer, Nico Breast Cancer Res Treat Epidemiology PURPOSE: To determine to what extent automatically measured volumetric mammographic density influences screening performance when using digital mammography (DM). METHODS: We collected a consecutive series of 111,898 DM examinations (2003–2011) from one screening unit of the Dutch biennial screening program (age 50–75 years). Volumetric mammographic density was automatically assessed using Volpara. We determined screening performance measures for four density categories comparable to the American College of Radiology (ACR) breast density categories. RESULTS: Of all the examinations, 21.6% were categorized as density category 1 (‘almost entirely fatty’) and 41.5, 28.9, and 8.0% as category 2–4 (‘extremely dense’), respectively. We identified 667 screen-detected and 234 interval cancers. Interval cancer rates were 0.7, 1.9, 2.9, and 4.4‰ and false positive rates were 11.2, 15.1, 18.2, and 23.8‰ for categories 1–4, respectively (both p-trend < 0.001). The screening sensitivity, calculated as the proportion of screen-detected among the total of screen-detected and interval tumors, was lower in higher density categories: 85.7, 77.6, 69.5, and 61.0% for categories 1–4, respectively (p-trend < 0.001). CONCLUSIONS: Volumetric mammographic density, automatically measured on digital mammograms, impacts screening performance measures along the same patterns as established with ACR breast density categories. Since measuring breast density fully automatically has much higher reproducibility than visual assessment, this automatic method could help with implementing density-based supplemental screening. Springer US 2016-12-23 2017 /pmc/articles/PMC5288416/ /pubmed/28012087 http://dx.doi.org/10.1007/s10549-016-4090-7 Text en © The Author(s) 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.
spellingShingle Epidemiology
Wanders, Johanna O. P.
Holland, Katharina
Veldhuis, Wouter B.
Mann, Ritse M.
Pijnappel, Ruud M.
Peeters, Petra H. M.
van Gils, Carla H.
Karssemeijer, Nico
Volumetric breast density affects performance of digital screening mammography
title Volumetric breast density affects performance of digital screening mammography
title_full Volumetric breast density affects performance of digital screening mammography
title_fullStr Volumetric breast density affects performance of digital screening mammography
title_full_unstemmed Volumetric breast density affects performance of digital screening mammography
title_short Volumetric breast density affects performance of digital screening mammography
title_sort volumetric breast density affects performance of digital screening mammography
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5288416/
https://www.ncbi.nlm.nih.gov/pubmed/28012087
http://dx.doi.org/10.1007/s10549-016-4090-7
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