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http://hdl.handle.net/1843/57956| Type: | Artigo de Periódico |
| Title: | New method for generating breast models featuring glandular tissue spatial distribution |
| Authors: | Lucas Paixão Reis Bruno Beraldo Oliveira M.A. Oliveira M.H.A. Teixeira Telma Fonseca M.S. Nogueira |
| Abstract: | Mammography 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. |
| Subject: | Mamografia Implantes de Mama |
| language: | eng |
| metadata.dc.publisher.country: | Brasil |
| Publisher: | Universidade Federal de Minas Gerais |
| Publisher Initials: | UFMG |
| metadata.dc.publisher.department: | MED - DEPARTAMENTO DE ANATOMIA E IMAGEM |
| Rights: | Acesso Restrito |
| metadata.dc.identifier.doi: | https://doi.org/10.1016/j.radphyschem.2015.10.023 |
| URI: | http://hdl.handle.net/1843/57956 |
| Issue Date: | 2016 |
| metadata.dc.url.externa: | https://www.sciencedirect.com/science/article/pii/S0969806X15300840?via%3Dihub |
| metadata.dc.relation.ispartof: | Radiation Physics and Chemistry |
| Appears in Collections: | Artigo de Periódico |
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