First approach to estimate breast radiation dose in a DBT prone biopsy table

Lucas Paixão; Oliver Diaz; Margarita Chevalier

doi:10.1117/12.2564320

22 May 2020 First approach to estimate breast radiation dose in a DBT prone biopsy table

Lucas Paixão, Oliver Diaz, Margarita Chevalier

Author Affiliations +

Proceedings Volume 11513, 15th International Workshop on Breast Imaging (IWBI2020); 115130H (2020) https://doi.org/10.1117/12.2564320
Event: Fifteenth International Workshop on Breast Imaging, 2020, Leuven, Belgium

Abstract

Stereotactic breast biopsy (SBB) is a common clinical procedure for suspicious breast lesion analysis. With the arrival of DBT-guided biopsy systems, the clinical performance of such procedures has improved enormously since breast lesions are better detected. However, little information is found in the literature regarding the patient’s radiation dose during these clinical procedures. This work presents, for the first time, a first approach to estimate the mean glandular dose (MGD) within the biopsy window for 101 patients who underwent breast biopsy in a commercially available DBT-guided prone table. This study is supported by the calculation of normalised glandular dose (DgN) coefficients from Monte Carlo simulations. Preliminary results show that the total MGD of the biopsy procedure varies between 10.2 mGy and 19.2 mGy for patients with breast thickness between 2 cm and 8 cm. Furthermore, a great variability in the number of acquisitions (tomo scan or stereo projections) of the biopsy procedure was observed. For the investigated system, MGD for DBT-guided breast biopsies are, for 5-6 cm thick breasts, around 23% lower than MGD observed in stereo biopsy procedures. The proposed method represents a first approach towards a full dose estimation of DBTguided breast biopsy procedures.

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Lucas Paixão, Oliver Diaz, and Margarita Chevalier "First approach to estimate breast radiation dose in a DBT prone biopsy table", Proc. SPIE 11513, 15th International Workshop on Breast Imaging (IWBI2020), 115130H (22 May 2020); https://doi.org/10.1117/12.2564320

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