Literature DB >> 17548677

Comparison of a new and existing method of mammographic density measurement: intramethod reliability and associations with known risk factors.

Valerie A McCormack1, Ralph Highnam, Nicholas Perry, Isabel dos Santos Silva.   

Abstract

BACKGROUND: Mammographic density is one of the strongest risk factors for breast cancer. It is commonly measured by an interactive threshold method that does not fully use information contained in a mammogram. An alternative fully automated standard mammogram form (SMF) method measures density using a volumetric approach.
METHODS: We examined between-breast and between-view agreement, reliability, and associations of breast cancer risk factors with the threshold and SMF measures of breast density on the same set of 1,000 digitized films from 250 women who attended routine breast cancer screening by two-view mammography in 2004 at a London population-based screening center. Data were analyzed using random-effects models on transformed percent density.
RESULTS: Median (interquartile range) percent densities were 12.8% (5.0-22.3) and 21.8% (18.4-26.6) in the threshold and SMF methods, respectively. There was no evidence of systematic differences between left-right breasts or between views in either method. Reliability of a single measurement was lower in the SMF than in the threshold method (0.77 versus 0.92 for craniocaudal and 0.68 versus 0.89 for mediolateral oblique views). Increasing body mass index and parity were associated with reduced density in both methods; however, an increase in density with hormone replacement therapy use was found only with the threshold method.
CONCLUSION: Established properties of mammographic density were observed for SMF percent density; however, this method had poorer left-right reliability than the threshold method and has yet to be shown to be a predictor of breast cancer risk.

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Year:  2007        PMID: 17548677      PMCID: PMC2696797          DOI: 10.1158/1055-9965.EPI-07-0085

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  15 in total

1.  A volumetric method for estimation of breast density on digitized screen-film mammograms.

Authors:  Olga Pawluczyk; Bindu J Augustine; Martin J Yaffe; Dan Rico; Jiwei Yang; Gordon E Mawdsley; Norman F Boyd
Journal:  Med Phys       Date:  2003-03       Impact factor: 4.071

2.  Novel use of single X-ray absorptiometry for measuring breast density.

Authors:  John A Shepherd; Lionel Herve; Jessie Landau; Bo Fan; Karla Kerlikowske; Steve R Cummings
Journal:  Technol Cancer Res Treat       Date:  2005-04

3.  The quantitative analysis of mammographic densities.

Authors:  J W Byng; N F Boyd; E Fishell; R A Jong; M J Yaffe
Journal:  Phys Med Biol       Date:  1994-10       Impact factor: 3.609

4.  Body size, mammographic density, and breast cancer risk.

Authors:  Norman F Boyd; Lisa J Martin; Limei Sun; Helen Guo; Anna Chiarelli; Greg Hislop; Martin Yaffe; Salomon Minkin
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2006-11       Impact factor: 4.254

Review 5.  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

6.  Symmetry of projection in the quantitative analysis of mammographic images.

Authors:  J W Byng; N F Boyd; L Little; G Lockwood; E Fishell; R A Jong; M J Yaffe
Journal:  Eur J Cancer Prev       Date:  1996-10       Impact factor: 2.497

7.  Quantitative classification of mammographic densities and breast cancer risk: results from the Canadian National Breast Screening Study.

Authors:  N F Boyd; J W Byng; R A Jong; E K Fishell; L E Little; A B Miller; G A Lockwood; D L Tritchler; M J Yaffe
Journal:  J Natl Cancer Inst       Date:  1995-05-03       Impact factor: 13.506

8.  Mammographic parenchymal patterns. Risk indicator for breast cancer?

Authors:  L Tabár; P B Dean
Journal:  JAMA       Date:  1982-01-08       Impact factor: 56.272

9.  Is breast size a predictor of breast cancer risk or the laterality of the tumor?

Authors:  R T Senie; A F Saftlas; L A Brinton; R N Hoover
Journal:  Cancer Causes Control       Date:  1993-05       Impact factor: 2.506

10.  Mammographic features and breast cancer risk: effects with time, age, and menopause status.

Authors:  C Byrne; C Schairer; J Wolfe; N Parekh; M Salane; L A Brinton; R Hoover; R Haile
Journal:  J Natl Cancer Inst       Date:  1995-11-01       Impact factor: 13.506

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  32 in total

1.  Aromatase immunoreactivity is increased in mammographically dense regions of the breast.

Authors:  Celine M Vachon; Hironobu Sasano; Karthik Ghosh; Kathleen R Brandt; David A Watson; Carol Reynolds; Wilma L Lingle; Paul E Goss; Rong Li; Sarah E Aiyar; Christopher G Scott; V Shane Pankratz; Richard J Santen; James N Ingle
Journal:  Breast Cancer Res Treat       Date:  2010-06-05       Impact factor: 4.872

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.  International Consortium on Mammographic Density: Methodology and population diversity captured across 22 countries.

Authors:  Valerie A McCormack; Anya Burton; Isabel dos-Santos-Silva; John H Hipwell; Caroline Dickens; Dorria Salem; Rasha Kamal; Mikael Hartman; Charmaine Pei Ling Lee; Kee-Seng Chia; Vahit Ozmen; Mustafa Erkin Aribal; Anath Arzee Flugelman; Martín Lajous; Ruy Lopez-Riduara; Megan Rice; Isabelle Romieu; Giske Ursin; Samera Qureshi; Huiyan Ma; Eunjung Lee; Carla H van Gils; Johanna O P Wanders; Sudhir Vinayak; Rose Ndumia; Steve Allen; Sarah Vinnicombe; Sue Moss; Jong Won Lee; Jisun Kim; Ana Pereira; Maria Luisa Garmendia; Reza Sirous; Mehri Sirous; Beata Peplonska; Agnieszka Bukowska; Rulla M Tamimi; Kimberly Bertrand; Chisato Nagata; Ava Kwong; Celine Vachon; Christopher Scott; Beatriz Perez-Gomez; Marina Pollan; Gertraud Maskarinec; Graham Giles; John Hopper; Jennifer Stone; Nadia Rajaram; Soo-Hwang Teo; Shivaani Mariapun; Martin J Yaffe; Joachim Schüz; Anna M Chiarelli; Linda Linton; Norman F Boyd
Journal:  Cancer Epidemiol       Date:  2015-12-24       Impact factor: 2.984

4.  The "Got D'ViBE?" study: an inter-institutional project assessing vitamin D and mammographic breast density.

Authors:  Toni J Lewis; William D Dupont; Kathleen M Egan; Corey D Jones; Anthony C Disher; William R Riddle; Alecia Malin Fair
Journal:  J Health Care Poor Underserved       Date:  2010-02

5.  Intercountry analysis of breast density classification using visual grading.

Authors:  Christine N Damases; Peter Hogg; Mark F McEntee
Journal:  Br J Radiol       Date:  2017-06-14       Impact factor: 3.039

Review 6.  Measurement of breast density with digital breast tomosynthesis--a systematic review.

Authors:  E U Ekpo; M F McEntee
Journal:  Br J Radiol       Date:  2014-08-22       Impact factor: 3.039

7.  Screen-film mammographic density and breast cancer risk: a comparison of the volumetric standard mammogram form and the interactive threshold measurement methods.

Authors:  Zoe Aitken; Valerie A McCormack; Ralph P Highnam; Lisa Martin; Anoma Gunasekara; Olga Melnichouk; Gord Mawdsley; Chris Peressotti; Martin Yaffe; Norman F Boyd; Isabel dos Santos Silva
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-02       Impact factor: 4.254

8.  Increased vitamin D and calcium intake associated with reduced mammographic breast density among premenopausal women.

Authors:  Alecia Malin Fair; Toni J Lewis; Maureen Sanderson; William D Dupont; Sarah Fletcher; Kathleen M Egan; Anthony C Disher
Journal:  Nutr Res       Date:  2015-07-31       Impact factor: 3.315

9.  Relationship of serum estrogens and metabolites with area and volume mammographic densities.

Authors:  Gretchen L Gierach; Deesha A Patel; Roni T Falk; Ruth M Pfeiffer; Berta M Geller; Pamela M Vacek; Donald L Weaver; Rachael E Chicoine; John A Shepherd; Amir Pasha Mahmoudzadeh; Jeff Wang; Bo Fan; Sally D Herschorn; Xia Xu; Timothy Veenstra; Barbara Fuhrman; Mark E Sherman; Louise A Brinton
Journal:  Horm Cancer       Date:  2015-03-11       Impact factor: 3.869

10.  Magnetic resonance imaging for secondary assessment of breast density in a high-risk cohort.

Authors:  Catherine Klifa; Julio Carballido-Gamio; Lisa Wilmes; Anne Laprie; John Shepherd; Jessica Gibbs; Bo Fan; Susan Noworolski; Nola Hylton
Journal:  Magn Reson Imaging       Date:  2009-07-23       Impact factor: 2.546

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