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Multimodality Imaging of Breast Parenchymal Density and Correlation with Risk Assessment

PURPOSE OF REVIEW: Breast density, or the amount of fibroglandular tissue in the breast, has become a recognized and independent marker for breast cancer risk. Public awareness of breast density as a possible risk factor for breast cancer has resulted in legislation for risk stratification purposes...

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Autores principales: Wengert, Georg J., Helbich, Thomas H., Leithner, Doris, Morris, Elizabeth A., Baltzer, Pascal A. T., Pinker, Katja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044508/
https://www.ncbi.nlm.nih.gov/pubmed/35496471
http://dx.doi.org/10.1007/s12609-019-0302-6
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author Wengert, Georg J.
Helbich, Thomas H.
Leithner, Doris
Morris, Elizabeth A.
Baltzer, Pascal A. T.
Pinker, Katja
author_facet Wengert, Georg J.
Helbich, Thomas H.
Leithner, Doris
Morris, Elizabeth A.
Baltzer, Pascal A. T.
Pinker, Katja
author_sort Wengert, Georg J.
collection PubMed
description PURPOSE OF REVIEW: Breast density, or the amount of fibroglandular tissue in the breast, has become a recognized and independent marker for breast cancer risk. Public awareness of breast density as a possible risk factor for breast cancer has resulted in legislation for risk stratification purposes in many US states. This review will provide a comprehensive overview of the currently available imaging modalities for qualitative and quantitative breast density assessment and the current evidence on breast density and breast cancer risk assessment. RECENT FINDINGS: To date, breast density assessment is mainly performed with mammography and to some extent with magnetic resonance imaging. Data indicate that computerized, quantitative techniques in comparison with subjective visual estimations are characterized by higher reproducibility and robustness. SUMMARY: Breast density reduces the sensitivity of mammography due to a masking effect and is also a recognized independent risk factor for breast cancer. Standardized breast density assessment using automated volumetric quantitative methods has the potential to be used for risk prediction and stratification and in determining the best screening plan for each woman.
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spelling pubmed-90445082022-04-27 Multimodality Imaging of Breast Parenchymal Density and Correlation with Risk Assessment Wengert, Georg J. Helbich, Thomas H. Leithner, Doris Morris, Elizabeth A. Baltzer, Pascal A. T. Pinker, Katja Curr Breast Cancer Rep Article PURPOSE OF REVIEW: Breast density, or the amount of fibroglandular tissue in the breast, has become a recognized and independent marker for breast cancer risk. Public awareness of breast density as a possible risk factor for breast cancer has resulted in legislation for risk stratification purposes in many US states. This review will provide a comprehensive overview of the currently available imaging modalities for qualitative and quantitative breast density assessment and the current evidence on breast density and breast cancer risk assessment. RECENT FINDINGS: To date, breast density assessment is mainly performed with mammography and to some extent with magnetic resonance imaging. Data indicate that computerized, quantitative techniques in comparison with subjective visual estimations are characterized by higher reproducibility and robustness. SUMMARY: Breast density reduces the sensitivity of mammography due to a masking effect and is also a recognized independent risk factor for breast cancer. Standardized breast density assessment using automated volumetric quantitative methods has the potential to be used for risk prediction and stratification and in determining the best screening plan for each woman. 2019-03 2019-01-17 /pmc/articles/PMC9044508/ /pubmed/35496471 http://dx.doi.org/10.1007/s12609-019-0302-6 Text en https://creativecommons.org/licenses/by/4.0/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/ (https://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 Article
Wengert, Georg J.
Helbich, Thomas H.
Leithner, Doris
Morris, Elizabeth A.
Baltzer, Pascal A. T.
Pinker, Katja
Multimodality Imaging of Breast Parenchymal Density and Correlation with Risk Assessment
title Multimodality Imaging of Breast Parenchymal Density and Correlation with Risk Assessment
title_full Multimodality Imaging of Breast Parenchymal Density and Correlation with Risk Assessment
title_fullStr Multimodality Imaging of Breast Parenchymal Density and Correlation with Risk Assessment
title_full_unstemmed Multimodality Imaging of Breast Parenchymal Density and Correlation with Risk Assessment
title_short Multimodality Imaging of Breast Parenchymal Density and Correlation with Risk Assessment
title_sort multimodality imaging of breast parenchymal density and correlation with risk assessment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044508/
https://www.ncbi.nlm.nih.gov/pubmed/35496471
http://dx.doi.org/10.1007/s12609-019-0302-6
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