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Comparison between software volumetric breast density estimates in breast tomosynthesis and digital mammography images in a large public screening cohort

OBJECTIVES: To compare software estimates of volumetric breast density (VBD) based on breast tomosynthesis (BT) projections to those based on digital mammography (DM) images in a large screening cohort, the Malmö Breast Tomosynthesis Screening Trial (MBTST). METHODS: DM and BT images of 9909 women (...

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Autores principales: Förnvik, Daniel, Förnvik, Hannie, Fieselmann, Andreas, Lång, Kristina, Sartor, Hanna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6291428/
https://www.ncbi.nlm.nih.gov/pubmed/29943180
http://dx.doi.org/10.1007/s00330-018-5582-0
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author Förnvik, Daniel
Förnvik, Hannie
Fieselmann, Andreas
Lång, Kristina
Sartor, Hanna
author_facet Förnvik, Daniel
Förnvik, Hannie
Fieselmann, Andreas
Lång, Kristina
Sartor, Hanna
author_sort Förnvik, Daniel
collection PubMed
description OBJECTIVES: To compare software estimates of volumetric breast density (VBD) based on breast tomosynthesis (BT) projections to those based on digital mammography (DM) images in a large screening cohort, the Malmö Breast Tomosynthesis Screening Trial (MBTST). METHODS: DM and BT images of 9909 women (enrolled 2010–2015) were retrospectively analysed with prototype software to estimate VBD. Software calculation is based on a physics model of the image acquisition process and incorporates the effect of masking in DM based on accumulated dense tissue areas. VBD (continuously and categorically) was compared between BT [central projection (mediolateral oblique view (MLO)] and two-view DM, and with radiologists’ BI-RADS density 4(th) ed. scores. Agreement and correlation were investigated with weighted kappa (κ), Spearman’s correlation coefficient (r), and Bland–Altman analysis. RESULTS: There was a high correlation (r = 0.83) between VBD in DM and BT and substantial agreement between the software breast density categories [observed agreement, 61.3% and 84.8%; κ = 0.61 and ĸ = 0.69 for four (a/b/c/d) and two (fat involuted vs. dense) density categories, respectively]. There was moderate agreement between radiologists’ BI-RADS scores and software density categories in DM (ĸ = 0.55) and BT (ĸ = 0.47). CONCLUSIONS: In a large public screening setting, we report a substantial agreement between VBD in DM and BT using software with special focus on masking effect. This automated and objective mode of measuring VBD may be of value to radiologists and women when BT is used as the primary breast cancer screening modality. KEY POINTS: • There was a high correlation between continuous volumetric breast density in DM and BT. • There was substantial agreement between software breast density categories (four groups) in DM and BT; with clinically warranted binary software breast density categories, the agreement increased markedly. • There was moderate agreement between radiologists’ BI-RADS scores and software breast density categories in DM and BT.
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spelling pubmed-62914282018-12-27 Comparison between software volumetric breast density estimates in breast tomosynthesis and digital mammography images in a large public screening cohort Förnvik, Daniel Förnvik, Hannie Fieselmann, Andreas Lång, Kristina Sartor, Hanna Eur Radiol Breast OBJECTIVES: To compare software estimates of volumetric breast density (VBD) based on breast tomosynthesis (BT) projections to those based on digital mammography (DM) images in a large screening cohort, the Malmö Breast Tomosynthesis Screening Trial (MBTST). METHODS: DM and BT images of 9909 women (enrolled 2010–2015) were retrospectively analysed with prototype software to estimate VBD. Software calculation is based on a physics model of the image acquisition process and incorporates the effect of masking in DM based on accumulated dense tissue areas. VBD (continuously and categorically) was compared between BT [central projection (mediolateral oblique view (MLO)] and two-view DM, and with radiologists’ BI-RADS density 4(th) ed. scores. Agreement and correlation were investigated with weighted kappa (κ), Spearman’s correlation coefficient (r), and Bland–Altman analysis. RESULTS: There was a high correlation (r = 0.83) between VBD in DM and BT and substantial agreement between the software breast density categories [observed agreement, 61.3% and 84.8%; κ = 0.61 and ĸ = 0.69 for four (a/b/c/d) and two (fat involuted vs. dense) density categories, respectively]. There was moderate agreement between radiologists’ BI-RADS scores and software density categories in DM (ĸ = 0.55) and BT (ĸ = 0.47). CONCLUSIONS: In a large public screening setting, we report a substantial agreement between VBD in DM and BT using software with special focus on masking effect. This automated and objective mode of measuring VBD may be of value to radiologists and women when BT is used as the primary breast cancer screening modality. KEY POINTS: • There was a high correlation between continuous volumetric breast density in DM and BT. • There was substantial agreement between software breast density categories (four groups) in DM and BT; with clinically warranted binary software breast density categories, the agreement increased markedly. • There was moderate agreement between radiologists’ BI-RADS scores and software breast density categories in DM and BT. Springer Berlin Heidelberg 2018-06-25 2019 /pmc/articles/PMC6291428/ /pubmed/29943180 http://dx.doi.org/10.1007/s00330-018-5582-0 Text en © The Author(s) 2018 Open Access This 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 Breast
Förnvik, Daniel
Förnvik, Hannie
Fieselmann, Andreas
Lång, Kristina
Sartor, Hanna
Comparison between software volumetric breast density estimates in breast tomosynthesis and digital mammography images in a large public screening cohort
title Comparison between software volumetric breast density estimates in breast tomosynthesis and digital mammography images in a large public screening cohort
title_full Comparison between software volumetric breast density estimates in breast tomosynthesis and digital mammography images in a large public screening cohort
title_fullStr Comparison between software volumetric breast density estimates in breast tomosynthesis and digital mammography images in a large public screening cohort
title_full_unstemmed Comparison between software volumetric breast density estimates in breast tomosynthesis and digital mammography images in a large public screening cohort
title_short Comparison between software volumetric breast density estimates in breast tomosynthesis and digital mammography images in a large public screening cohort
title_sort comparison between software volumetric breast density estimates in breast tomosynthesis and digital mammography images in a large public screening cohort
topic Breast
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6291428/
https://www.ncbi.nlm.nih.gov/pubmed/29943180
http://dx.doi.org/10.1007/s00330-018-5582-0
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