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Exploratory survey of initial image quality in new digital mammography units prior to use in patients in Mexico.

作者信息

Gaona E, Rivera T, Molina-Frechero N, Franco J G

机构信息

Biological and Health Sciences Division, Metropolitan Autonomous University Xochimilco, Calz. del Hueso 1100, 04960 Mexico City, Mexico.

CICATA, National Polytechnic Institute, Calz. Legaria 694, 11500 Mexico City, Mexico.

出版信息

Appl Radiat Isot. 2018 Nov;141:266-269. doi: 10.1016/j.apradiso.2018.07.013. Epub 2018 Jul 23.

DOI:10.1016/j.apradiso.2018.07.013
PMID:30049552
Abstract

In Mexico, previous studies performed to evaluate the image quality in 2D digital mammography facilities show a poor image quality that is not compatible with mammography screening that may modify breast cancer mortality rate. Image quality is lost due to the quality assurance programs are not implemented. We carried out an exploratory survey of thirty-six new (FFDM) units from a single manufacturer installed in several cities of the Mexican Republic with two types of target/filter combination (Mo/Mo and W/Rh). Tests were performed according to NOM-041-SSA1-2011 (Mexico), the regulation indicates that all facilities using digital mammography systems must maintain a QC program equal to the QC program recommended by the manufacturer. However, QC program recommended by the manufacturer meets with FDA and ACR Regulations. Digital mammography units evaluated exceeds quality image standards established by the ACR and FDA, even though, the W/Rh combination achieved a higher performance and reduces the average glandular dose. All mammography units met the quality control standards established by ACR, FDA and Mexican regulations. Then, the objective of this study was to evaluate the initial image quality and compliances with the manufacturer's quality control specifications before use it in patients in new full-field 2D digital mammography (FFDM) units and compares average glandular dose (AGD) with FFDM units using different anode/filter combinations (Mo/Mo and W/Rh).

摘要

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