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Influence of mammographic density and compressed breast thickness on true mammographic sensitivity: a cohort study

Understanding the detectability of breast cancer using mammography is important when considering nation-wide screening programmes. Although the role of imaging settings on image quality has been studied extensively, their role in detectability of cancer at a population level is less well studied. We...

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Autores principales: Strandberg, Rickard, Illipse, Maya, Czene, Kamila, Hall, Per, Humphreys, Keith
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10468499/
https://www.ncbi.nlm.nih.gov/pubmed/37648804
http://dx.doi.org/10.1038/s41598-023-41356-2
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author Strandberg, Rickard
Illipse, Maya
Czene, Kamila
Hall, Per
Humphreys, Keith
author_facet Strandberg, Rickard
Illipse, Maya
Czene, Kamila
Hall, Per
Humphreys, Keith
author_sort Strandberg, Rickard
collection PubMed
description Understanding the detectability of breast cancer using mammography is important when considering nation-wide screening programmes. Although the role of imaging settings on image quality has been studied extensively, their role in detectability of cancer at a population level is less well studied. We wish to quantify the association between mammographic screening sensitivity and various imaging parameters. Using a novel approach applied to a population-based breast cancer screening cohort, we specifically focus on sensitivity as defined in the classical diagnostic testing literature, as opposed to the screen-detected cancer rate, which is often used as a measure of sensitivity for monitoring and evaluating breast cancer screening. We use a natural history approach to model the presence and size of latent tumors at risk of detection at mammography screening, and the screening sensitivity is modeled as a logistic function of tumor size. With this approach we study the influence of compressed breast thickness, x-ray exposure, and compression pressure, in addition to (percent) breast density, on the screening test sensitivity. When adjusting for all screening parameters in addition to latent tumor size, we find that percent breast density and compressed breast thickness are statistically significant factors for the detectability of breast cancer. A change in breast density from 6.6 to 33.5% (the inter-quartile range) reduced the odds of detection by 61% (95% CI 48–71). Similarly, a change in compressed breast thickness from 46 to 66 mm reduced the odds by 42% (95% CI 21–57). The true sensitivity of mammography, defined as the probability that an examination leads to a positive result if a tumour is present in the breast, is associated with compressed breast thickness after accounting for mammographic density and tumour size. This can be used to guide studies of setups aimed at improving lesion detection. Compressed breast thickness—in addition to breast density—should be considered when assigning complementary screening modalities and personalized screening intervals.
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spelling pubmed-104684992023-09-01 Influence of mammographic density and compressed breast thickness on true mammographic sensitivity: a cohort study Strandberg, Rickard Illipse, Maya Czene, Kamila Hall, Per Humphreys, Keith Sci Rep Article Understanding the detectability of breast cancer using mammography is important when considering nation-wide screening programmes. Although the role of imaging settings on image quality has been studied extensively, their role in detectability of cancer at a population level is less well studied. We wish to quantify the association between mammographic screening sensitivity and various imaging parameters. Using a novel approach applied to a population-based breast cancer screening cohort, we specifically focus on sensitivity as defined in the classical diagnostic testing literature, as opposed to the screen-detected cancer rate, which is often used as a measure of sensitivity for monitoring and evaluating breast cancer screening. We use a natural history approach to model the presence and size of latent tumors at risk of detection at mammography screening, and the screening sensitivity is modeled as a logistic function of tumor size. With this approach we study the influence of compressed breast thickness, x-ray exposure, and compression pressure, in addition to (percent) breast density, on the screening test sensitivity. When adjusting for all screening parameters in addition to latent tumor size, we find that percent breast density and compressed breast thickness are statistically significant factors for the detectability of breast cancer. A change in breast density from 6.6 to 33.5% (the inter-quartile range) reduced the odds of detection by 61% (95% CI 48–71). Similarly, a change in compressed breast thickness from 46 to 66 mm reduced the odds by 42% (95% CI 21–57). The true sensitivity of mammography, defined as the probability that an examination leads to a positive result if a tumour is present in the breast, is associated with compressed breast thickness after accounting for mammographic density and tumour size. This can be used to guide studies of setups aimed at improving lesion detection. Compressed breast thickness—in addition to breast density—should be considered when assigning complementary screening modalities and personalized screening intervals. Nature Publishing Group UK 2023-08-30 /pmc/articles/PMC10468499/ /pubmed/37648804 http://dx.doi.org/10.1038/s41598-023-41356-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Strandberg, Rickard
Illipse, Maya
Czene, Kamila
Hall, Per
Humphreys, Keith
Influence of mammographic density and compressed breast thickness on true mammographic sensitivity: a cohort study
title Influence of mammographic density and compressed breast thickness on true mammographic sensitivity: a cohort study
title_full Influence of mammographic density and compressed breast thickness on true mammographic sensitivity: a cohort study
title_fullStr Influence of mammographic density and compressed breast thickness on true mammographic sensitivity: a cohort study
title_full_unstemmed Influence of mammographic density and compressed breast thickness on true mammographic sensitivity: a cohort study
title_short Influence of mammographic density and compressed breast thickness on true mammographic sensitivity: a cohort study
title_sort influence of mammographic density and compressed breast thickness on true mammographic sensitivity: a cohort study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10468499/
https://www.ncbi.nlm.nih.gov/pubmed/37648804
http://dx.doi.org/10.1038/s41598-023-41356-2
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