Literature DB >> 24838833

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

Youichi Machida1, Mitsuhiro Tozaki, Tamiko Yoshida, Ai Saita, Mari Yakabe, Kanae Nii.   

Abstract

PURPOSE: To evaluate the clinical feasibility of breast density measurements by a new application within a direct photon-counting mammography scanner system.
MATERIALS AND METHODS: A retrospective study of consecutive women who underwent mammography using a direct photon-counting mammography scanner system (MicroDose mammography SI; Philips Digital Mammography Sweden AB) was performed at the authors' institution between September and December 2013. Quantitative volumetric glandularity measurements were performed automatically for each acquired mammographic image using an application (Breast Density Measurement; Philips Digital Mammography Sweden AB). The quantitative volumetric glandularity of each breast was defined as the average values for the mediolateral oblique (MLO) and craniocaudal (CC) mammogram views.
RESULTS: Of the 44 women who underwent bilateral mammogram acquisitions, the breast density measurements were performed successfully in 40 patients (90.9%). A very good to excellent correlation in the quantitative breast density measurements acquired from the MLO and CC images was obtained in the 40 evaluable patients (R = 0.99).
CONCLUSION: The calculated volumetric glandularity using this new application should correspond well with the true volumetric density of each breast.

Entities:  

Mesh:

Year:  2014        PMID: 24838833     DOI: 10.1007/s11604-014-0333-x

Source DB:  PubMed          Journal:  Jpn J Radiol        ISSN: 1867-1071            Impact factor:   2.374


  25 in total

1.  Automatic segmentation of mammographic density.

Authors:  R Sivaramakrishna; N A Obuchowski; W A Chilcote; K A Powell
Journal:  Acad Radiol       Date:  2001-03       Impact factor: 3.173

2.  Quantitative assessment of mammographic breast density: relationship with breast cancer risk.

Authors:  Jennifer A Harvey; Viktor E Bovbjerg
Journal:  Radiology       Date:  2003-11-14       Impact factor: 11.105

3.  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

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.  Variation in mammographic breast density by race.

Authors:  A Y El-Bastawissi; E White; M T Mandelson; S Taplin
Journal:  Ann Epidemiol       Date:  2001-05       Impact factor: 3.797

Review 6.  Mammographic breast density as an intermediate phenotype for breast cancer.

Authors:  Norman F Boyd; Johanna M Rommens; Kelly Vogt; Vivian Lee; John L Hopper; Martin J Yaffe; Andrew D Paterson
Journal:  Lancet Oncol       Date:  2005-10       Impact factor: 41.316

7.  An automated approach for estimation of breast density.

Authors:  John J Heine; Michael J Carston; Christopher G Scott; Kathleen R Brandt; Fang-Fang Wu; Vernon Shane Pankratz; Thomas A Sellers; Celine M Vachon
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-11       Impact factor: 4.254

8.  Mammographic density and breast cancer in three ethnic groups.

Authors:  Giske Ursin; Huiyan Ma; Anna H Wu; Leslie Bernstein; Martine Salane; Yuri R Parisky; Melvin Astrahan; Conchitina C Siozon; Malcolm C Pike
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2003-04       Impact factor: 4.254

9.  Breast composition measurements using retrospective standard mammogram form (SMF).

Authors:  R Highnam; X Pan; R Warren; M Jeffreys; G Davey Smith; M Brady
Journal:  Phys Med Biol       Date:  2006-05-09       Impact factor: 3.609

10.  Mammographic density and its interaction with other breast cancer risk factors in an Asian population.

Authors:  C S Wong; G H Lim; F Gao; R W Jakes; J Offman; K S Chia; S W Duffy
Journal:  Br J Cancer       Date:  2011-01-18       Impact factor: 7.640

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  4 in total

Review 1.  Breast Density Knowledge and Awareness: A Review of Literature.

Authors:  Marimer Santiago-Rivas; Shayna Benjamin; Lina Jandorf
Journal:  J Prim Care Community Health       Date:  2016-02-23

Review 2.  Qualitative Versus Quantitative Mammographic Breast Density Assessment: Applications for the US and Abroad.

Authors:  Stamatia Destounis; Andrea Arieno; Renee Morgan; Christina Roberts; Ariane Chan
Journal:  Diagnostics (Basel)       Date:  2017-05-31

3.  A clinical model for identifying the short-term risk of breast cancer.

Authors:  Mikael Eriksson; Kamila Czene; Yudi Pawitan; Karin Leifland; Hatef Darabi; Per Hall
Journal:  Breast Cancer Res       Date:  2017-03-14       Impact factor: 6.466

4.  Automated volumetric breast density estimation out of digital breast tomosynthesis data: feasibility study of a new software version.

Authors:  Youichi Machida; Ai Saita; Hirofumi Namba; Eisuke Fukuma
Journal:  Springerplus       Date:  2016-06-18
  4 in total

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