1. Three-layer heterogeneous mammographic phantoms for Monte Carlo simulation of normalized glandular dose coefficients in mammography
- Author
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Chun Yuan Tu, Tien Yu Chang, Jay Wu, and Kuan Jen Lai
- Subjects
Materials science ,Monte Carlo method ,lcsh:Medicine ,Article ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,Kerma ,0302 clinical medicine ,medicine ,Humans ,Dosimetry ,Mammography ,Breast ,Radiometry ,lcsh:Science ,Multidisciplinary ,medicine.diagnostic_test ,Phantoms, Imaging ,business.industry ,lcsh:R ,Health care ,Clinical Practice ,Risk factors ,Homogeneous ,030220 oncology & carcinogenesis ,Female ,lcsh:Q ,Medical imaging ,Nuclear medicine ,business ,Monte Carlo Method - Abstract
Normalized glandular dose (DgN) coefficients obtained using homogeneous breast phantoms are commonly used in breast dosimetry for mammography. However, glandular tissue is heterogeneously distributed in the breast. This study aimed to construct three-layer heterogeneous mammographic phantoms (THEPs) to examine the effect of glandular distribution on DgN coefficient. Each layer of THEPs was set to 25%, 50%, or 75% glandular fraction to emulate heterogeneous glandular distribution. Monte Carlo simulation was performed to attain mean glandular dose (MGD) and air kerma at 22–36 kVp and W/Al, W/Rh, and W/Ag target–filter combinations. The heterogeneous DgN coefficient was calculated as functions of the mean glandular fraction (MGF), breast thickness, tube voltage, and half-value layer. At 50% MGF, the heterogeneous DgN coefficients for W/Al, W/Rh, and W/Ag differed by 40.3%, 36.7%, and 31.2%. At 9-cm breast thickness, the DgN values of superior and inferior glandular distributions were 25.4% higher and 29.2% lower than those of uniform distribution. The proposed THEPs can be integrated with conventional breast dosimetry to consider the heterogeneous glandular distribution in clinical practice.
- Published
- 2020