Estimation of mean glandular dose in mammography using depth dose curves
DOI:
https://doi.org/10.29384/rbfm.2023.v17.19849001739Keywords:
Dosimetry; Mammography; Depth Dose; Monte Carlo Simulation.Abstract
In this work, a new methodology was implemented and validated to estimate the mean glandular dose (MGD) in mammography, using new conversion coefficients and mean dose measurements in the whole breast (MDW) obtained from depth dose curves (DDC). The DDC were determined for a breast phantom by Monte Carlo (MC) simulation using the Penelope v. 2018 + Peneasy v. 2020 code, and experimentally, using LiF:Mg,Ti thermoluminescent dosimeters (TLD-100). The results of this study show that the conventional method for MGD estimation, based on air kerma and DgN conversion coefficients, presents a higher dependence on the beam quality incident on the breast, which can result in higher uncertainties in the estimation of the MGD if the incident spectrum is not precisely known. Indeed, the proposed method is less dependent on the precise estimation of beam quality, presenting great potential to be applied as an alternative or complementary method for experimental MGD determination.
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Copyright (c) 2023 Adriana Tayna Dantas Rodrigues, Alessandra Tomal
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