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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Skin models and their impact on mean glandular dose in mammography

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Author(s):
Massera, Rodrigo Trevisan [1] ; Tomal, Alessandra [1]
Total Authors: 2
Affiliation:
[1] Univ Estadual Campinas, Inst Fis Gleb Wataghin, BR-13083859 Campinas - Brazil
Total Affiliations: 1
Document type: Journal article
Source: PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS; v. 51, p. 38-47, JUL 2018.
Web of Science Citations: 2
Abstract

Purpose: To quantify the influence of different skin models on mammographic breast dosimetry, based on dosimetric protocols and recent breast skin thickness findings. Methods: By using an adapted PENELOPE (v. 2014)+ PenEasy (v. 2015) Monte Carlo (MC) code, simulations were performed in order to obtain the mean glandular dose (MGD), the normalized MGD by incident air Kerma (DgN), and the glandular depth dose (GDD(z)). The geometry was based on a cranio-caudal mammographic examination. Monoenergetic and polyenergetic beams were implemented, for a breast thickness from 2 cm to 9 cm, with different compositions. Seven skin models were used: a 5mm adipose layer; a skin layer ranging from 5mm to 1.45 mm, a 1.45mm skin thickness with a subcutaneous adipose layer of 2mm and 3.55 mm. Results: The differences, for monoenergetic beams, are higher (up to 200%) for lower energies (8 keV), thicker and low glandular content breasts, decreasing to less than 5% at 40 keV. Without a skin layer, the differences reach a maximum of 1240%. The relative difference in DgN values for 1.45mm skin and 5mm adipose layers and polyenergetic beams varies from -14% to 12%. Conclusions: The implemented MC code is suitable for mammography dosimetry calculations. The skin models have major impacts on MGD values, and the results complement previous literature findings. The current protocols should be updated to include a more realistic skin model, which provides a reliable breast dose estimation. (AU)

FAPESP's process: 16/15366-9 - Optimization of the exposure parameters in digital mammography: experimental and simulation studies
Grantee:Rodrigo Trevisan Massera
Support Opportunities: Scholarships in Brazil - Master
FAPESP's process: 15/21873-8 - Establishment and application of methodologies for optimizing imaging techniques in digital radiology
Grantee:Alessandra Tomal
Support Opportunities: Regular Research Grants