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Optimal Breast Density Characterization Using a Three-Dimensional Automated Breast Densitometry System
Dense breasts are a risk factor for breast cancer. Assessment of breast density is important and radiologist-dependent. We objectively measured mammographic density using the three-dimensional automatic mammographic density measurement device Volpara™ and examined the criteria for combined use of ul...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700257/ https://www.ncbi.nlm.nih.gov/pubmed/34940087 http://dx.doi.org/10.3390/curroncol28060448 |
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author | Yoshida, Reika Yamauchi, Takenori Akashi-Tanaka, Sadako Matsuyanagi, Misaki Taruno, Kanae Sawada, Terumasa Kokaze, Akatsuki Nakamura, Seigo |
author_facet | Yoshida, Reika Yamauchi, Takenori Akashi-Tanaka, Sadako Matsuyanagi, Misaki Taruno, Kanae Sawada, Terumasa Kokaze, Akatsuki Nakamura, Seigo |
author_sort | Yoshida, Reika |
collection | PubMed |
description | Dense breasts are a risk factor for breast cancer. Assessment of breast density is important and radiologist-dependent. We objectively measured mammographic density using the three-dimensional automatic mammographic density measurement device Volpara™ and examined the criteria for combined use of ultrasonography (US). Of 1227 patients who underwent primary breast cancer surgery between January 2019 and April 2021 at our hospital, 441 were included. A case series study was conducted based on patient age, diagnostic accuracy, effects of mammography (MMG) combined with US, size of invasion, and calcifications. The mean density of both breasts according to the Volpara Density Grade (VDG) was 0–3.4% in 2 patients, 3.5–7.4% in 55 patients, 7.5–15.4% in 173 patients, and ≥15.5% in 211 patients. Breast density tended to be higher in younger patients. Diagnostic accuracy of MMG tended to decrease with increasing breast density. US detection rates were not associated with VDG on MMG and were favorable at all densities. The risk of a non-detected result was high in patients without malignant suspicious calcifications. Supplementary use of US for patients without suspicious calcifications on MMG and high breast density, particularly ≥25.5%, could improve the breast cancer detection rate. |
format | Online Article Text |
id | pubmed-8700257 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87002572021-12-24 Optimal Breast Density Characterization Using a Three-Dimensional Automated Breast Densitometry System Yoshida, Reika Yamauchi, Takenori Akashi-Tanaka, Sadako Matsuyanagi, Misaki Taruno, Kanae Sawada, Terumasa Kokaze, Akatsuki Nakamura, Seigo Curr Oncol Article Dense breasts are a risk factor for breast cancer. Assessment of breast density is important and radiologist-dependent. We objectively measured mammographic density using the three-dimensional automatic mammographic density measurement device Volpara™ and examined the criteria for combined use of ultrasonography (US). Of 1227 patients who underwent primary breast cancer surgery between January 2019 and April 2021 at our hospital, 441 were included. A case series study was conducted based on patient age, diagnostic accuracy, effects of mammography (MMG) combined with US, size of invasion, and calcifications. The mean density of both breasts according to the Volpara Density Grade (VDG) was 0–3.4% in 2 patients, 3.5–7.4% in 55 patients, 7.5–15.4% in 173 patients, and ≥15.5% in 211 patients. Breast density tended to be higher in younger patients. Diagnostic accuracy of MMG tended to decrease with increasing breast density. US detection rates were not associated with VDG on MMG and were favorable at all densities. The risk of a non-detected result was high in patients without malignant suspicious calcifications. Supplementary use of US for patients without suspicious calcifications on MMG and high breast density, particularly ≥25.5%, could improve the breast cancer detection rate. MDPI 2021-12-14 /pmc/articles/PMC8700257/ /pubmed/34940087 http://dx.doi.org/10.3390/curroncol28060448 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yoshida, Reika Yamauchi, Takenori Akashi-Tanaka, Sadako Matsuyanagi, Misaki Taruno, Kanae Sawada, Terumasa Kokaze, Akatsuki Nakamura, Seigo Optimal Breast Density Characterization Using a Three-Dimensional Automated Breast Densitometry System |
title | Optimal Breast Density Characterization Using a Three-Dimensional Automated Breast Densitometry System |
title_full | Optimal Breast Density Characterization Using a Three-Dimensional Automated Breast Densitometry System |
title_fullStr | Optimal Breast Density Characterization Using a Three-Dimensional Automated Breast Densitometry System |
title_full_unstemmed | Optimal Breast Density Characterization Using a Three-Dimensional Automated Breast Densitometry System |
title_short | Optimal Breast Density Characterization Using a Three-Dimensional Automated Breast Densitometry System |
title_sort | optimal breast density characterization using a three-dimensional automated breast densitometry system |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700257/ https://www.ncbi.nlm.nih.gov/pubmed/34940087 http://dx.doi.org/10.3390/curroncol28060448 |
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