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Evaluation of glandular dose in mammography in presence of breast cysts using Monte Carlo simulation Cover

Evaluation of glandular dose in mammography in presence of breast cysts using Monte Carlo simulation

Open Access
|Mar 2021

References

  1. 1. World Health Organization. Available at:https://www.who.int/cancer/prevention/diagnosis-screening/breast-cancer/en, Accessed on: January 2019.
  2. 2. Dance D, Skinner C, Carlsson G. Breast dosimetry. Appl Radiat Isot. 1999;50(1):185-203. https://doi.org/10.1016/S0969-8043(98)00047-510.1016/S0969-8043(98)00047-5
  3. 3. Hall EJ, Giaccia AJ. Radiobiology for the radiologist. Lippincott Williams and Wilkins; Philadelphia:222-50. 2006.
  4. 4. Boone JM. Glandular breast dose for monoenergetic and high-energy x-ray beams: Monte Carlo assessment. Radiology. 1999;213(1):23-37. https://doi.org/10.1148/radiology.213.1.r99oc392310.1148/radiology.213.1.r99oc392310540637
  5. 5. Stanton L, Villafana T, Day J, Lightfoot D. Dosage evaluation in mammography. Radiology. 1984;150(2):577-84. https://doi.org/10.1148/radiology.150.2.669111910.1148/radiology.150.2.66911196691119
  6. 6. European Commission. European protocol on dosimetry in mammography. Report EUR 16263, EC, Bruxelles, Luxembourg. 1996.
  7. 7. Delis H, Spyrou G, Panayiotakis G, Tzanakos G. DOSIS: A Monte Carlo simulation program for dose related studies in mammography. Eur J Radiol. 2005;54(3):371-6. https://doi.org/10.1016/j.ejrad.2004.07.01410.1016/j.ejrad.2004.07.01415899338
  8. 8. Bushberg JT, Boone JM. The essential physics of medical imaging. Lippincott Williams & Wilkins;238-282. 2011.
  9. 9. Sookpeng S, Ketted P. Mean glandular dose from routine mammography. Naresuan University J: Sci Technol. 2006:14(3):19-26.
  10. 10. Zankl M, Fill U, Hoeschen C, et al. Average glandular dose conversion coefficients for segmented breast voxel models. Radiat Prot Dosimetry. 2005;114(1-3):410-4. https://doi.org/10.1093/rpd/nch51310.1093/rpd/nch51315933148
  11. 11. Wu X, Barnes GT, Tucker D. Spectral dependence of glandular tissue dose in screen-film mammography. Radiology. 1991;179(1):143-8. https://doi.org/10.1148/radiology.179.1.200626510.1148/radiology.179.1.20062652006265
  12. 12. Sutter Health (CPMC). Available at: http://www.cpmc.org/services/women/breast/breast_cyst.html. Accessed on: 12 Nov, 2016.
  13. 13. American Cancer Society. Available at: https://www.cancer.org/cancer/breast-cancer/non-cancerous-breast-conditions/fibrosis-and-simple-cysts-in-the-breast.html. Accessed on: 12 Nov, 2016.
  14. 14. Aznar M, Hemdal B. Absorbed dose measurement in mammography. In: Hayat MA (ed.), Cancer Imaging: Lung and breast carcinomas (Vol. 1), Elsevier; 493-501. 2008. https://doi.org/10.1016/B978-012374212-4.50055-910.1016/B978-012374212-4.50055-9
  15. 15. Dance DR. Monte Carlo calculation of conversion factors for the estimation of mean glandular breast dose. Phys Med Biol. 1990;35(9):1211-9. https://doi.org/10.1088/0031-9155/35/9/00210.1088/0031-9155/35/9/0022236205
  16. 16. Nigapruke K, Puwanich P, Phaisangittisakul N, Youngdee W. Monte Carlo simulation of average glandular dose and an investigation of influencing factors. J Radiat Res. 2010;51(4):441-8. https://doi.org/10.1269/jrr.1000810.1269/jrr.1000820523013
  17. 17. Hernandez AM, Seibert JA, Boone JM. Breast dose in mammography is about 30% lower when realistic heterogeneous glandular distributions are considered. Med Phys. 2015;42(11):6337-48. https://doi.org/10.1118/1.493196610.1118/1.4931966460008526520725
  18. 18. Payamed Electronic Industries Co. Available at: http://www.payamed.com/pma100f.asp. Accessed on: 12 Jun, 2017.
  19. 19. International Aero Engines. Available at: http://www.iae.it/serie-mammo_23.html. Accessed on: 12 Jun, 2017.
  20. 20. Cranley K, Gilmore BJ, Fogarty GWA, Desponds L. Catalogue of diagnostic x-ray spectra and other data. Report No.78, Institute of Physics and Engineering in Medicine - IPEM. 1997.
  21. 21. National Institute of Standards and Technology. Available at: https://www.nist.gov/pml/x-ray-mass-attenuation-coefficients. Accessed on: 12 Jun, 2017.
  22. 22. Delis H, Spyrou G, Tzanakos G, Panayiotakis G. The influence of mammographic X-ray spectra on absorbed energy distribution in breast: Monte Carlo simulation studies. Radiat Meas. 2005;39(2):149-55. https://doi.org/10.1016/j.radmeas.2004.04.00310.1016/j.radmeas.2004.04.003
  23. 23. Rezaei FS. Using Monte Carlo method for evaluation of kVp and mAs variation effect on absorbed dose in mammography. European Congress of Radiology, 3 March 2011; Vienna, Austria.
  24. 24. Fredenberg E, Dance DR, Willsher P, Moa E, von Tiedemann M, Young KC, et al. Measurement of breast-tissue x-ray attenuation by spectral mammography: first results on cyst fluid. Phys Med Biol. 2013;58(24):8609. https://doi.org/10.1088/0031-9155/58/24/860910.1088/0031-9155/58/24/860924254377
DOI: https://doi.org/10.2478/pjmpe-2021-0006 | Journal eISSN: 1898-0309 | Journal ISSN: 1425-4689
Language: English
Page range: 41 - 50
Published on: Mar 18, 2021
Published by: Polish Society of Medical Physics
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year

© 2021 Mohammad Reza Deevband, Zeinab Kaveh, Mahdi Ghorbani, Benyamin Khajetash, published by Polish Society of Medical Physics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.