Literature DB >> 19175100

Quantification of breast density with dual energy mammography: a simulation study.

Justin L Ducote1, Sabee Molloi.   

Abstract

Breast density, the percentage of glandular breast tissue, has been identified as an important yet underutilized risk factor in the development of breast cancer. A quantitative method to measure breast density with dual energy imaging was investigated using a computer simulation model. Two configurations to measure breast density were evaluated: the usage of monoenergetic beams and an ideal detector, and the usage of polyenergetic beams with spectra from a tungsten anode x-ray tube with a detector modeled after a digital mammography system. The simulation model calculated the mean glandular dose necessary to quantify the variability of breast density to within 1/3%. The breast was modeled as a semicircle 10 cm in radius with equal homogenous thicknesses of adipose and glandular tissues. Breast thicknesses were considered in the range of 2-10 cm and energies in the range of 10-150 keV for the two monoenergetic beams, and 20-150 kVp for spectra with a tungsten anode x-ray tube. For a 4.2 cm breast thickness, the required mean glandular doses were 0.183 microGy for two monoenergetic beams at 19 and 71 keV, and 9.85 microGy for two polyenergetic spectra from a tungsten anode at 32 and 96 kVp with beam filtrations of 50 microm Rh and 300 microm Cu for the low and high energy beams, respectively. The results suggest that for either configuration, breast density can be precisely measured with dual energy imaging requiring only a small amount of additional dose to the breast. The possibility of using a standard screening mammogram as the low energy image is also discussed.

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Year:  2008        PMID: 19175100      PMCID: PMC2736719          DOI: 10.1118/1.3002308

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  65 in total

1.  Glandular breast dose for monoenergetic and high-energy X-ray beams: Monte Carlo assessment.

Authors:  J M Boone
Journal:  Radiology       Date:  1999-10       Impact factor: 11.105

2.  Computerized image analysis: estimation of breast density on mammograms.

Authors:  C Zhou; H P Chan; N Petrick; M A Helvie; M M Goodsitt; B Sahiner; L M Hadjiiski
Journal:  Med Phys       Date:  2001-06       Impact factor: 4.071

3.  Dual-energy approach to contrast-enhanced mammography using the balanced filter method: spectral optimization and preliminary phantom measurement.

Authors:  Masatoshi Saito
Journal:  Med Phys       Date:  2007-11       Impact factor: 4.071

4.  Mammography grid performance.

Authors:  P S Rezentes; A de Almeida; G T Barnes
Journal:  Radiology       Date:  1999-01       Impact factor: 11.105

5.  A representation for mammographic image processing.

Authors:  R Highnam; M Brady; B Shepstone
Journal:  Med Image Anal       Date:  1996-03       Impact factor: 8.545

6.  Studying mammographic density: implications for understanding breast cancer.

Authors:  C Byrne
Journal:  J Natl Cancer Inst       Date:  1997-04-16       Impact factor: 13.506

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Authors:  R Nowotny; A Höfer
Journal:  Rofo       Date:  1985-06

8.  Dual-energy subtraction mammography.

Authors:  T Asaga; C Masuzawa; A Yoshida; H Matsuura
Journal:  J Digit Imaging       Date:  1995-02       Impact factor: 4.056

9.  A calibration approach to glandular tissue composition estimation in digital mammography.

Authors:  J Kaufhold; J A Thomas; J W Eberhard; C E Galbo; D E González Trotter
Journal:  Med Phys       Date:  2002-08       Impact factor: 4.071

10.  Dose comparison between screen/film and full-field digital mammography.

Authors:  Gisella Gennaro; Cosimo di Maggio
Journal:  Eur Radiol       Date:  2006-05-30       Impact factor: 7.034

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  12 in total

1.  Evaluation of an improved algorithm for producing realistic 3D breast software phantoms: application for mammography.

Authors:  K Bliznakova; S Suryanarayanan; A Karellas; N Pallikarakis
Journal:  Med Phys       Date:  2010-11       Impact factor: 4.071

2.  Quantification of breast density with spectral mammography based on a scanned multi-slit photon-counting detector: a feasibility study.

Authors:  Huanjun Ding; Sabee Molloi
Journal:  Phys Med Biol       Date:  2012-07-06       Impact factor: 3.609

3.  Measurement of breast tissue composition with dual energy cone-beam computed tomography: a postmortem study.

Authors:  Huanjun Ding; Justin L Ducote; Sabee Molloi
Journal:  Med Phys       Date:  2013-06       Impact factor: 4.071

4.  Quantification of breast density with dual energy mammography: an experimental feasibility study.

Authors:  Justin L Ducote; Sabee Molloi
Journal:  Med Phys       Date:  2010-02       Impact factor: 4.071

5.  Breast density evaluation using spectral mammography, radiologist reader assessment, and segmentation techniques: a retrospective study based on left and right breast comparison.

Authors:  Sabee Molloi; Huanjun Ding; Stephen Feig
Journal:  Acad Radiol       Date:  2015-05-29       Impact factor: 3.173

6.  Breast composition measurement with a cadmium-zinc-telluride based spectral computed tomography system.

Authors:  Huanjun Ding; Justin L Ducote; Sabee Molloi
Journal:  Med Phys       Date:  2012-03       Impact factor: 4.071

7.  Volumetric lean percentage measurement using dual energy mammography.

Authors:  Justin L Ducote; Michael J Klopfer; S Molloi
Journal:  Med Phys       Date:  2011-08       Impact factor: 4.071

8.  Imaging of nanoparticles with dual-energy computed tomography.

Authors:  J L Ducote; Y Alivov; S Molloi
Journal:  Phys Med Biol       Date:  2011-03-08       Impact factor: 3.609

9.  Quantification of breast lesion compositions using low-dose spectral mammography: A feasibility study.

Authors:  Huanjun Ding; David Sennung; Hyo-Min Cho; Sabee Molloi
Journal:  Med Phys       Date:  2016-10       Impact factor: 4.071

10.  Feasibility study of a breast density measurement within a direct photon-counting mammography scanner system.

Authors:  Youichi Machida; Mitsuhiro Tozaki; Tamiko Yoshida; Ai Saita; Mari Yakabe; Kanae Nii
Journal:  Jpn J Radiol       Date:  2014-05-18       Impact factor: 2.374

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