Literature DB >> 20879571

Dosimetric characterization of a dedicated breast computed tomography clinical prototype.

Ioannis Sechopoulos1, Steve Si Jia Feng, Carl J D'Orsi.   

Abstract

PURPOSE: To investigate the glandular dose magnitudes and characteristics resulting from image acquisition using a dedicated breast computed tomography (BCT) clinical prototype imaging system.
METHODS: The x-ray spectrum and output characteristics of a BCT clinical prototype (Koning Corporation, West Henrietta, NY) were determined using empirical measurements, breast phantoms, and an established spectrum model. The geometry of the BCT system was replicated in a Monte Carlo-based computer simulation using the GEANT4 toolkit and was validated by comparing the simulated results for exposure distribution in a standard 16 cm CT head phantom with those empirically determined using a 10 cm CT pencil ionization chamber and dosimeter. The computer simulation was further validated by replicating the results of a previous BCT dosimetry study. Upon validation, the computer simulation was modified to include breasts of varying sizes and homogeneous compositions spanning those encountered clinically, and the normalized mean glandular dose resulting from BCT was determined. Using the system's measured exposure output determined automatically for breasts of different size and density, the mean glandular dose for these breasts was computed and compared to the glandular dose resulting from mammography. Finally, additional Monte Carlo simulations were performed to study how the glandular dose values vary within the breast tissue during acquisition with both this BCT prototype and a typical craniocaudal (CC) mammographic acquisition.
RESULTS: This BCT prototype uses an x-ray spectrum with a first half-value layer of 1.39 mm Al and a mean x-ray energy of 30.3 keV. The normalized mean glandular dose for breasts of varying size and composition during BCT acquisition with this system ranges from 0.278 to 0.582 mGy/mGy air kerma with the reference air kerma measured in air at the center of rotation. Using the measured exposure outputs for the tube currents automatically selected by the system for the breasts of different sizes and densities, the mean glandular dose for a BCT acquisition with this prototype system varies from 5.6 to 17.5 mGy, with the value for a breast of mean size and composition being 17.06 mGy. The glandular dose throughout the breast tissue of this mean breast varies by up to +/- 50% of the mean value. During a typical CC view mammographic acquisition of an equivalent mean breast, which typically results in a mean glandular dose of 2.0-2.5 mGy, the glandular dose throughout the breast tissue varies from approximately 15% to approximately 400% of the mean value.
CONCLUSIONS: Acquisition of a BCT image with the automated tube output settings for a mean breast with the Koning Corp. clinical prototype results in mean glandular dose values approximately equivalent to three to five two-view mammographic examinations for a similar breast. For all breast sizes and compositions studied, this glandular dose ratio between acquisition with this BCT prototype and two-view mammography ranges from 1.4 to 7.2. In mammography, portions of the mean-sized breast receive a considerably higher dose than the mean value for the whole breast. However, only a small portion of a breast undergoing mammography would receive a glandular dose similar to that from BCT.

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Year:  2010        PMID: 20879571      PMCID: PMC2917456          DOI: 10.1118/1.3457331

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


  22 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.  Dedicated breast CT: radiation dose and image quality evaluation.

Authors:  J M Boone; T R Nelson; K K Lindfors; J A Seibert
Journal:  Radiology       Date:  2001-12       Impact factor: 11.105

3.  Normalized glandular dose (DgN) coefficients for arbitrary X-ray spectra in mammography: computer-fit values of Monte Carlo derived data.

Authors:  John M Boone
Journal:  Med Phys       Date:  2002-05       Impact factor: 4.071

4.  A comprehensive analysis of DgN(CT) coefficients for pendant-geometry cone-beam breast computed tomography.

Authors:  J M Boone; N Shah; T R Nelson
Journal:  Med Phys       Date:  2004-02       Impact factor: 4.071

5.  Normalized glandular dose (DgN) coefficients for flat-panel CT breast imaging.

Authors:  Samta C Thacker; Stephen J Glick
Journal:  Phys Med Biol       Date:  2004-12-21       Impact factor: 3.609

6.  Technique factors and their relationship to radiation dose in pendant geometry breast CT.

Authors:  John M Boone; Alexander L C Kwan; J Anthony Seibert; Nikula Shah; Karen K Lindfors; Thomas R Nelson
Journal:  Med Phys       Date:  2005-12       Impact factor: 4.071

7.  The myth of the 50-50 breast.

Authors:  M J Yaffe; J M Boone; N Packard; O Alonzo-Proulx; S Y Huang; C L Peressotti; A Al-Mayah; K Brock
Journal:  Med Phys       Date:  2009-12       Impact factor: 4.071

8.  Cone-beam volume CT breast imaging: feasibility study.

Authors:  Biao Chen; Ruola Ning
Journal:  Med Phys       Date:  2002-05       Impact factor: 4.071

9.  Absorbed radiation dose in mammography.

Authors:  G R Hammerstein; D W Miller; D R White; M E Masterson; H Q Woodard; J S Laughlin
Journal:  Radiology       Date:  1979-02       Impact factor: 11.105

10.  A computer simulation study comparing lesion detection accuracy with digital mammography, breast tomosynthesis, and cone-beam CT breast imaging.

Authors:  Xing Gong; Stephen J Glick; Bob Liu; Aruna A Vedula; Samta Thacker
Journal:  Med Phys       Date:  2006-04       Impact factor: 4.071

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  34 in total

1.  Dedicated breast CT: radiation dose for circle-plus-line trajectory.

Authors:  Srinivasan Vedantham; Linxi Shi; Andrew Karellas; Frederic Noo
Journal:  Med Phys       Date:  2012-03       Impact factor: 4.071

2.  Automatic Tissue Classification for High-resolution Breast CT Images Based on Bilateral Filtering.

Authors:  Xiaofeng Yang; Ioannis Sechopoulos; Baowei Fei
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2011-03-14

3.  Average glandular dose coefficients for pendant-geometry breast CT using realistic breast phantoms.

Authors:  Andrew M Hernandez; John M Boone
Journal:  Med Phys       Date:  2017-08-20       Impact factor: 4.071

4.  X-ray scatter correction method for dedicated breast computed tomography.

Authors:  Ioannis Sechopoulos
Journal:  Med Phys       Date:  2012-05       Impact factor: 4.071

5.  Characterization of the homogeneous tissue mixture approximation in breast imaging dosimetry.

Authors:  Ioannis Sechopoulos; Kristina Bliznakova; Xulei Qin; Baowei Fei; Steve Si Jia Feng
Journal:  Med Phys       Date:  2012-08       Impact factor: 4.071

6.  High-resolution spiral CT of the breast at very low dose: concept and feasibility considerations.

Authors:  Willi A Kalender; Marcel Beister; John M Boone; Daniel Kolditz; Sabrina V Vollmar; Michaela C C Weigel
Journal:  Eur Radiol       Date:  2011-06-09       Impact factor: 5.315

7.  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

8.  Cupping artifact correction and automated classification for high-resolution dedicated breast CT images.

Authors:  Xiaofeng Yang; Shengyong Wu; Ioannis Sechopoulos; Baowei Fei
Journal:  Med Phys       Date:  2012-10       Impact factor: 4.071

9.  Objective models of compressed breast shapes undergoing mammography.

Authors:  Steve Si Jia Feng; Bhavika Patel; Ioannis Sechopoulos
Journal:  Med Phys       Date:  2013-03       Impact factor: 4.071

10.  Clinical digital breast tomosynthesis system: dosimetric characterization.

Authors:  Steve Si Jia Feng; Ioannis Sechopoulos
Journal:  Radiology       Date:  2012-02-13       Impact factor: 11.105

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