Literature DB >> 21626952

The characterization of breast anatomical metrics using dedicated breast CT.

Shih-Ying Huang1, John M Boone, Kai Yang, Nathan J Packard, Sarah E McKenney, Nicolas D Prionas, Karen K Lindfors, Martin J Yaffe.   

Abstract

PURPOSE: Accurate anatomical characterization of the breast is useful in breast phantom development and computer modeling of breast imaging technologies. Capitalizing on the three-dimensional capabilities of dedicated breast CT (bCT), a number of parameters which describe breast shape and fibroglandular distribution are defined.
METHODS: Among 219 bCT data sets, the effective diameter and length of the pendant breast as well as the breast volume were measured and characterized for each bra cup size. The volume glandular fraction (VGF) was determined as a function of patient age, BIRADS density, bra cup size, and breast diameter. The glandular fraction was examined in coronal and sagittal planes of the breast, and the radial distribution of breast glandular fraction within a coronal bCT image was examined for three breast regions. The areal glandular fraction (AGF) was estimated from two-dimensional projections of the breast (simulated by projecting bCT data sets) and was compared to the corresponding VGF.
RESULTS: The effective breast diameter and length increase with increasing bra cup size. The mean breast diameters (+/- standard error) of bra cup sizes A/AA, B, C, and D/DD were 11.1 +/- 0.5, 11.4 +/- 0.3, 13.0 +/- 0.2, and 13.7 +/- 0.2 cm, respectively. VGF was lower among older women and those with larger breast diameter and larger bra cup size. VGF increased as a function of the reported BIRADS density. AGF increased with VGF. Fibroglandular tissue was distributed primarily in the central portion of the breast.
CONCLUSIONS: Breast metrics were examined and a number of parameters were defined which may be useful for breast modeling. The reported data may provide researchers with useful information for characterizing the breast for various imaging or dosimetry tasks.

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Year:  2011        PMID: 21626952      PMCID: PMC3081868          DOI: 10.1118/1.3567147

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


  9 in total

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Authors:  K Bliznakova; Z Bliznakov; V Bravou; Z Kolitsi; N Pallikarakis
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2.  Mammogram synthesis using a 3D simulation. I. Breast tissue model and image acquisition simulation.

Authors:  Predrag R Bakic; Michael Albert; Dragana Brzakovic; Andrew D A Maidment
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3.  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

4.  Statistical texture synthesis of mammographic images with super-blob lumpy backgrounds.

Authors:  F Bochud; C Abbey; M Eckstein
Journal:  Opt Express       Date:  1999-01-04       Impact factor: 3.894

5.  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
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6.  Simulation model of mammographic calcifications based on the American College of Radiology Breast Imaging Reporting and Data System, or BIRADS.

Authors:  M Kallergi; M A Gavrielides; L He; C G Berman; J J Kim; R A Clark
Journal:  Acad Radiol       Date:  1998-10       Impact factor: 3.173

7.  Real and simulated clustered microcalcifications in digital mammograms. ROC study of observer performance.

Authors:  M J Lado; P G Tahoces; M Souto; A J Méndez; J J Vidal
Journal:  Med Phys       Date:  1997-09       Impact factor: 4.071

8.  A simulation model of clustered breast microcalcifications.

Authors:  F Lefebvre; H Benali; R Gilles; R Di Paola
Journal:  Med Phys       Date:  1994-12       Impact factor: 4.071

9.  Analysis of parenchymal density on mammograms in 1353 women 25-79 years old.

Authors:  P C Stomper; D J D'Souza; P A DiNitto; M A Arredondo
Journal:  AJR Am J Roentgenol       Date:  1996-11       Impact factor: 3.959

  9 in total
  33 in total

1.  A statistically defined anthropomorphic software breast phantom.

Authors:  Beverly A Lau; Ingrid Reiser; Robert M Nishikawa; Predrag R Bakic
Journal:  Med Phys       Date:  2012-06       Impact factor: 4.071

2.  Breast dose in mammography is about 30% lower when realistic heterogeneous glandular distributions are considered.

Authors:  Andrew M Hernandez; J Anthony Seibert; John M Boone
Journal:  Med Phys       Date:  2015-11       Impact factor: 4.071

3.  Population of 224 realistic human subject-based computational breast phantoms.

Authors:  David W Erickson; Jered R Wells; Gregory M Sturgeon; Ehsan Samei; James T Dobbins; W Paul Segars; Joseph Y Lo
Journal:  Med Phys       Date:  2016-01       Impact factor: 4.071

4.  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

5.  Design and evaluation of a laboratory prototype system for 3D photoacoustic full breast tomography.

Authors:  Wenfeng Xia; Daniele Piras; Mithun K A Singh; Johan C G van Hespen; Ton G van Leeuwen; Wiendelt Steenbergen; Srirang Manohar
Journal:  Biomed Opt Express       Date:  2013-10-23       Impact factor: 3.732

6.  Radiation doses in volume-of-interest breast computed tomography--A Monte Carlo simulation study.

Authors:  Chao-Jen Lai; Yuncheng Zhong; Ying Yi; Tianpeng Wang; Chris C Shaw
Journal:  Med Phys       Date:  2015-06       Impact factor: 4.071

7.  Evolution of spatial resolution in breast CT at UC Davis.

Authors:  Peymon M Gazi; Kai Yang; George W Burkett; Shadi Aminololama-Shakeri; J Anthony Seibert; John M Boone
Journal:  Med Phys       Date:  2015-04       Impact factor: 4.071

8.  Monte Carlo Basics for Radiation Dose Assessment in Diagnostic Radiology.

Authors:  John M Boone; Michael F McNitt-Gray; Andrew M Hernandez
Journal:  J Am Coll Radiol       Date:  2017-04-29       Impact factor: 5.532

9.  Dedicated 3D photoacoustic breast imaging.

Authors:  Robert A Kruger; Cherie M Kuzmiak; Richard B Lam; Daniel R Reinecke; Stephen P Del Rio; Doreen Steed
Journal:  Med Phys       Date:  2013-11       Impact factor: 4.071

10.  Association between power law coefficients of the anatomical noise power spectrum and lesion detectability in breast imaging modalities.

Authors:  Lin Chen; Craig K Abbey; John M Boone
Journal:  Phys Med Biol       Date:  2013-02-19       Impact factor: 3.609

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