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Towards determination of individual glandular dose

Förnvik, Hannie LU ; Timberg, Pontus LU ; Dustler, Magnus LU ; Förnvik, Daniel LU ; Zackrisson, Sophia LU and Tingberg, Anders LU (2018) SPIE Medical Imaging 2018: Physics of Medical Imaging In Medical Imaging 2018 10573.
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... (More)

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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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
breast tomosynthesis, glandular distribution, glandular dose, glandularity, Monte Carlo simulation, software breast phantom
in
Medical Imaging 2018
volume
10573
publisher
SPIE
conference name
SPIE Medical Imaging 2018: Physics of Medical Imaging
external identifiers
  • scopus:85049261512
ISBN
9781510616356
DOI
10.1117/12.2293454
language
English
LU publication?
yes
id
58183724-32b4-44bd-9246-dbdb9c1c8e26
date added to LUP
2018-07-17 11:13:00
date last changed
2018-07-17 11:13:00
@inproceedings{58183724-32b4-44bd-9246-dbdb9c1c8e26,
  abstract     = {<p>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.</p>},
  author       = {Förnvik, Hannie and Timberg, Pontus and Dustler, Magnus and Förnvik, Daniel and Zackrisson, Sophia and Tingberg, Anders},
  booktitle    = {Medical Imaging 2018},
  isbn         = {9781510616356},
  keyword      = {breast tomosynthesis,glandular distribution,glandular dose,glandularity,Monte Carlo simulation,software breast phantom},
  language     = {eng},
  month        = {01},
  publisher    = {SPIE},
  title        = {Towards determination of individual glandular dose},
  url          = {http://dx.doi.org/10.1117/12.2293454},
  volume       = {10573},
  year         = {2018},
}