Literature DB >> 17047268

Monte Carlo generated conversion factors for the estimation of average glandular dose in contact and magnification mammography.

M Koutalonis1, H Delis, G Spyrou, L Costaridou, G Tzanakos, G Panayiotakis.   

Abstract

Magnification mammography is a special technique used in the cases where breast complaints are noted by a woman or when an abnormality is found in a screening mammogram. The carcinogenic risk in mammography is related to the dose deposited in the glandular tissue of the breast rather than the adipose, and average glandular dose (AGD) is the quantity taken into consideration during a mammographic examination. Direct measurement of the AGD is not feasible during clinical practice and thus, the incident air KERMA on the breast surface is used to estimate the glandular dose, with the help of proper conversion factors. Additional conversion factors adapted for magnification and tube voltage are calculated, using Monte Carlo simulation. The effect of magnification degree, tube voltage, various anode/filter material combinations and glandularity on AGD is also studied, considering partial breast irradiation. Results demonstrate that the estimation of AGD utilizing conversion factors depends on these parameters, while the omission of correction factors for magnification and tube voltage can lead to significant underestimation or overestimation of AGD. AGD was found to increase with filter material's k-absorption edge, anode material's k-emission edge, tube voltage and magnification. Decrease of the glandularity of the breast leads to higher AGD due to the increased penetrating ability of the photon beam in thick breasts with low glandularity.

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Year:  2006        PMID: 17047268     DOI: 10.1088/0031-9155/51/21/010

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  4 in total

1.  Can electronic zoom replace magnification in mammography? A comparative Monte Carlo study.

Authors:  M Koutalonis; H Delis; A Pascoal; G Spyrou; L Costaridou; G Panayiotakis
Journal:  Br J Radiol       Date:  2010-07       Impact factor: 3.039

2.  A Monte Carlo model for mean glandular dose evaluation in spot compression mammography.

Authors:  Antonio Sarno; David R Dance; Ruben E van Engen; Kenneth C Young; Paolo Russo; Francesca Di Lillo; Giovanni Mettivier; Kristina Bliznakova; Baowei Fei; Ioannis Sechopoulos
Journal:  Med Phys       Date:  2017-06-13       Impact factor: 4.071

3.  Dosimetry in x-ray-based breast imaging.

Authors:  David R Dance; Ioannis Sechopoulos
Journal:  Phys Med Biol       Date:  2016-09-12       Impact factor: 3.609

4.  Quality assurance and quality control in mammography: a review of available guidance worldwide.

Authors:  Cláudia Reis; Ana Pascoal; Taxiarchis Sakellaris; Manthos Koutalonis
Journal:  Insights Imaging       Date:  2013-08-04
  4 in total

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