Comparison between average glandular dose (AGD) calculated by mammography equipment and VolparaDose software

In mammography equipment, the average glandular dose (AGD) is calculated from the incident air kerma (Ki) multiplied by conversion coefficients derived from Monte Carlo simulations, which consider breast thickness and density. However, calculating AGD using specific and true patient information results in a dose that is closer to the real dose. This study compares the AGD calculated by two different methods: the equipment, which uses conversion coefficients, and the VolparaDose software, which uses the patient-specific volumetric breast density (VBD). The study was conducted with a sample of 3,209 images from screening mammography exams. Through hypothesis tests for the mean difference, it was demonstrated that for compressed breast thicknesses > 27.1 mm, the AGD was significantly lower (p-value < 0.05) when calculated by the equipment itself compared to the AGD calculated by the VolparaDose software. The VBD was a significant factor in the difference in AGD calculated between the two methods. The results suggest that the AGD calculated by the equipment may be underestimating the dose when compared to the AGD calculated by the VolparaDose software.

Authors

Institutions

Publication Details

Journal
Brazilian Journal of Radiation Sciences
Published
2025-03-31
DOI
https://doi.org/10.15392/2319-0612.2024.2635
Primary Topic
Digital Radiography and Breast Imaging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparison between average glandular dose (AGD) calculated by mammography equipment and VolparaDose software

Luı́s B. Almeida, Fernando Leyton, Camila Engler, Maria do Socorro Nogueira et al.
Brazilian Journal of Radiation Sciences
Digital Radiography and Breast Imaging
article

Comparison between average glandular dose (AGD) calculated by mammography equipment and VolparaDose software

Luı́s B. Almeida, Fernando Leyton, Camila Engler, Maria do Socorro Nogueira, E. R. Leite
article en

Abstract

In mammography equipment, the average glandular dose (AGD) is calculated from the incident air kerma (Ki) multiplied by conversion coefficients derived from Monte Carlo simulations, which consider breast thickness and density. However, calculating AGD using specific and true patient information results in a dose that is closer to the real dose. This study compares the AGD calculated by two different methods: the equipment, which uses conversion coefficients, and the VolparaDose software, which uses the patient-specific volumetric breast density (VBD). The study was conducted with a sample of 3,209 images from screening mammography exams. Through hypothesis tests for the mean difference, it was demonstrated that for compressed breast thicknesses > 27.1 mm, the AGD was significantly lower (p-value < 0.05) when calculated by the equipment itself compared to the AGD calculated by the VolparaDose software. The VBD was a significant factor in the difference in AGD calculated between the two methods. The results suggest that the AGD calculated by the equipment may be underestimating the dose when compared to the AGD calculated by the VolparaDose software.

Brazilian Journal of Radiation SciencesVol. 12(4A (Suppl.))
University of Tarapacá (CL), Centro de Desenvolvimento da Tecnologia Nuclear (BR)
Openalex Percentile: Top 90%
Digital Radiography and Breast Imaging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Comparison between average glandular dose (AGD) calculated by mammography equipment and VolparaDose software — Luı́s B. Almeida, Fernando Leyton, et al. · Brazilian Journal of Radiation Sciences (2025) | TGRS Research Map | TGRS