Warianty tytułu
Języki publikacji
Abstrakty
Background: Normalized glandular dose (DgN) is an important dosimetric quantity in mammography. Aim: In this study, the effect of the presence of breast cysts and their size, number and location on DgN is evaluated. Materials and methods: The effect of the presence of cysts in breast was examined using MCNPX code. This was performed by taking homogeneous breast phantoms containing spheroid breast cysts into account. The radius of the cysts, numbers of the cysts, and depth of the cysts, and their location were variable. Various electron energies were also considered. Finally, these results were compared with the results of a cyst-less breast phantom. Results: The results show that the effect of the presence of cysts in the breast depends on the size, number and location of cysts. The presence of cysts at lower depths leads to a decrease in the DgN values, compared to the breast phantom without cysts. The presence of cysts in the breast phantom has an effect of -7 to +14 percent on the DgN values under the conditions considered in this modeling. This effect is independent of the X-ray tube voltage, the breast phantom thickness, and glandular ratio, and depends only on the number and size and location of the cysts. The bigger radius and number of cysts, the greater effect on DgN value.
Słowa kluczowe
Rocznik
Tom
Strony
41--50
Opis fizyczny
Bibliogr. 24 poz., rys., tab.
Twórcy
autor
- Biomedical Engineering and Medical Physics Department, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
autor
- Biomedical Engineering and Medical Physics Department, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
autor
- Biomedical Engineering and Medical Physics Department, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
autor
- Medical Physics Department, School of Medicine, Iran University of Medical Sciences, Tehran, mhdghorbani@gmail.com
Bibliografia
- 1. World Health Organization. Available at:https://www.who.int/cancer/prevention/diagnosis-screening/breast-cancer/en, Accessed on: January 2019.
- 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)00047-5
- 3. Hall EJ, Giaccia AJ. Radiobiology for the radiologist. Lippincott Williams and Wilkins; Philadelphia:222-50. 2006.
- 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.r99oc3923
- 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.150.2.6691119
- 6. European Commission. European protocol on dosimetry in mammography. Report EUR 16263, EC, Bruxelles, Luxembourg. 1996.
- 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.2004.07.014
- 8. Bushberg JT, Boone JM. The essential physics of medical imaging. Lippincott Williams & Wilkins;238-282. 2011.
- 9. Sookpeng S, Ketted P. Mean glandular dose from routine mammography. Naresuan University J: Sci Technol. 2006:14(3):19-26.
- 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/nch513
- 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.179.1.2006265
- 12. Sutter Health (CPMC). Available at: http://www.cpmc.org/services/women/breast/breast_cyst.html. Accessed on: 12 Nov, 2016.
- 13. American Cancer Society. Available at: https://www.cancer.org/cancer/breast-cancer/non-cancerous-breast-conditions/fibrosis-andsimple-cysts-in-the-breast.html. Accessed on: 12 Nov, 2016.
- 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/B978-012374212-4.50055-9
- 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/10.1088/0031-9155/35/9/002
- 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.10008
- 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/10.1118/1.4931966
- 18. Payamed Electronic Industries Co. Available at: http://www.payamed.com/pma100f.asp. Accessed on: 12 Jun, 2017.
- 19. International Aero Engines. Available at: http://www.iae.it/serie-mammo_23.html. Accessed on: 12 Jun, 2017.
- 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. National Institute of Standards and Technology. Available at: https://www.nist.gov/pml/x-ray-mass-attenuation-coefficients. Accessed on: 12 Jun, 2017.
- 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.2004.04.003
- 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. 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/10.1088/0031-9155/58/24/8609
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
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Identyfikator YADDA
bwmeta1.element.baztech-8cffc6dc-698f-4888-a1cd-99de20521751