9 March 2018 Towards determination of individual glandular dose
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Abstract
Due to variations in amount and distribution of glandular breast tissue among women, the mean glandular dose (MGD) can be a poor measure of the individual glandular dose. Therefore, to improve the basis for risk assessment related to radiation dose from breast X-ray examinations, the distribution should be considered. Breast tomosynthesis (BT) is an imaging technique that may be used as an alternative or complement to standard mammography in breast cancer screening, and it could provide the required 3D-localisation of glandular tissue for estimation of the individual glandular dose. In this study, we investigated the possibility to localize glandular tissue from BT data and use a Monte Carlo simulation routine to estimate the glandular dose for software breast phantoms with different amount and distribution of glandular breast tissue. As an initial evaluation of the method, the local energy absorption in glandular tissue was estimated for seven breast phantoms and the corresponding phantoms recreated from reconstructed BT data. As expected, the normalized glandular dose was found to differ substantially with glandular distribution. This emphasizes the importance of glandular tissue localization for estimation of the individual glandular dose. The results showed good accuracy for estimation of normalized glandular dose using breast phantoms recreated from reconstructed BT image volumes (relative differences between –7.3% and +9.5%). Following this initial study, the method will be evaluated for more phantoms and potentially developed for patient cases. In the future it could become a useful tool in breast dosimetry as a step towards the individual glandular dose.
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Hannie Förnvik, Hannie Förnvik, Pontus Timberg, Pontus Timberg, Magnus Dustler, Magnus Dustler, Daniel Förnvik, Daniel Förnvik, Sophia Zackrisson, Sophia Zackrisson, Anders Tingberg, Anders Tingberg, } "Towards determination of individual glandular dose", Proc. SPIE 10573, Medical Imaging 2018: Physics of Medical Imaging, 1057304 (9 March 2018); doi: 10.1117/12.2293454; https://doi.org/10.1117/12.2293454
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