New method for generating breast models featuring glandular tissue spatial distribution

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dc.creatorLucas Paixão Reis
dc.creatorBruno Beraldo Oliveira
dc.creatorM.A. Oliveira
dc.creatorM.H.A. Teixeira
dc.creatorTelma Fonseca
dc.creatorM.S. Nogueira
dc.date.accessioned2023-08-18T23:16:25Z
dc.date.accessioned2025-09-09T01:20:21Z
dc.date.available2023-08-18T23:16:25Z
dc.date.issued2016
dc.format.mimetypepdf
dc.identifier.doihttps://doi.org/10.1016/j.radphyschem.2015.10.023
dc.identifier.issn0969-806X
dc.identifier.urihttps://hdl.handle.net/1843/57956
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofRadiation Physics and Chemistry
dc.rightsAcesso Restrito
dc.subjectMamografia
dc.subjectImplantes de Mama
dc.subject.otherDigital mammography
dc.subject.otherNormalized mean glandular dose
dc.subject.otherMonte Carlo simulation
dc.subject.otherBreast models
dc.subject.otherBreast dosimetry
dc.titleNew method for generating breast models featuring glandular tissue spatial distribution
dc.typeArtigo de periódico
local.citation.epage206
local.citation.spage200
local.citation.volume119
local.description.resumoMammography is the main radiographic technique used for breast imaging. A major concern with mammographic imaging is the risk of radiation-induced breast cancer due to the high sensitivity of breast tissue. The mean glandular dose (DG) is the dosimetric quantity widely accepted to characterize the risk of radiation induced cancer. Previous studies have concluded that DG depends not only on the breast glandular content but also on the spatial distribution of glandular tissue within the breast. In this work, a new method for generating computational breast models featuring skin composition and glandular tissue distribution from patients undergoing digital mammography is proposed. Such models allow a more accurate way of calculating individualized breast glandular doses taking into consideration the glandular tissue fraction. Sixteen breast models of four patients with different glandularity breasts were simulated and the results were compared with those obtained from recommended DG conversion factors. The results show that the internationally recommended conversion factors may be over estimating the mean glandular dose to less dense breasts and underestimating the mean glandular dose for denser breasts. The methodology described in this work constitutes a powerful tool for breast do simetry, especially for risk studies.
local.identifier.orcidhttps://orcid.org/0000-0003-0579-309X
local.publisher.countryBrasil
local.publisher.departmentMED - DEPARTAMENTO DE ANATOMIA E IMAGEM
local.publisher.initialsUFMG
local.url.externahttps://www.sciencedirect.com/science/article/pii/S0969806X15300840?via%3Dihub

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