Literature DB >> 2025849

Mammographic densities and risk of breast cancer.

A F Saftlas1, R N Hoover, L A Brinton, M Szklo, D R Olson, M Salane, J N Wolfe.   

Abstract

To determine the relation of mammographic densities to subsequent breast cancer risk, a case-control study was undertaken using prediagnostic mammograms of screening program participants. Mammograms of cases (n = 266) and controls (n = 301) were blindly assessed for mammographic densities, which were measured by planimetry. The odds of breast cancer increased steadily with increasing breast density (test for trend, P less than 0.0001). Breast cancer odds was 1.7 for densities between 5% and 24.9%, 2.5 for 25% through 44.9%, 3.8 for 45% through 64%, and 4.3 for densities of 65% and greater (referent = less than 5% densities). Odds ratios also increased with increasing densities among women with the P2 and DY mammographic patterns. These findings suggest that the percentage of mammographic densities in the breast can predict breast cancer risk more accurately than a qualitative assessment of mammographic patterns.

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Year:  1991        PMID: 2025849     DOI: 10.1002/1097-0142(19910601)67:11<2833::aid-cncr2820671121>3.0.co;2-u

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  63 in total

1.  Mammography in New Hampshire: characteristics of the women and the exams they receive.

Authors:  P A Carney; M E Goodrich; D M O'Mahony; A N Tosteson; M S Eliassen; S P Poplack; S Birnbaum; B G Harwood; K A Burgess; B T Berube; W S Wells; J P Ball; M M Stevens
Journal:  J Community Health       Date:  2000-06

2.  An investigation of the effects of mammographic acquisition parameters on a semiautomated quantitative measure of breast cancer risk.

Authors:  N J Hangiandreou; C J Mount; K R Brandt; J P Quam; A Manduca; C M Vachon; T A Sellers
Journal:  J Digit Imaging       Date:  2000-05       Impact factor: 4.056

Review 3.  Mammographic densities as a marker of human breast cancer risk and their use in chemoprevention.

Authors:  N F Boyd; L J Martin; J Stone; C Greenberg; S Minkin; M J Yaffe
Journal:  Curr Oncol Rep       Date:  2001-07       Impact factor: 5.075

Review 4.  Breast tissue composition and susceptibility to breast cancer.

Authors:  Norman F Boyd; Lisa J Martin; Michael Bronskill; Martin J Yaffe; Neb Duric; Salomon Minkin
Journal:  J Natl Cancer Inst       Date:  2010-07-08       Impact factor: 13.506

5.  Radiomics robustness assessment and classification evaluation: A two-stage method demonstrated on multivendor FFDM.

Authors:  Kayla Robinson; Hui Li; Li Lan; David Schacht; Maryellen Giger
Journal:  Med Phys       Date:  2019-03-12       Impact factor: 4.071

6.  Breast density estimation from high spectral and spatial resolution MRI.

Authors:  Hui Li; William A Weiss; Milica Medved; Hiroyuki Abe; Gillian M Newstead; Gregory S Karczmar; Maryellen L Giger
Journal:  J Med Imaging (Bellingham)       Date:  2016-12-28

7.  Prediction of near-term breast cancer risk based on bilateral mammographic feature asymmetry.

Authors:  Maxine Tan; Bin Zheng; Pandiyarajan Ramalingam; David Gur
Journal:  Acad Radiol       Date:  2013-12       Impact factor: 3.173

8.  Comparative analysis of image-based phenotypes of mammographic density and parenchymal patterns in distinguishing between BRCA1/2 cases, unilateral cancer cases, and controls.

Authors:  Hui Li; Maryellen L Giger; Li Lan; Jyothi Janardanan; Charlene A Sennett
Journal:  J Med Imaging (Bellingham)       Date:  2014-11-13

9.  Computer-aided assessment of breast density: comparison of supervised deep learning and feature-based statistical learning.

Authors:  Songfeng Li; Jun Wei; Heang-Ping Chan; Mark A Helvie; Marilyn A Roubidoux; Yao Lu; Chuan Zhou; Lubomir M Hadjiiski; Ravi K Samala
Journal:  Phys Med Biol       Date:  2018-01-09       Impact factor: 3.609

10.  Using Speed of Sound Imaging to Characterize Breast Density.

Authors:  Mark Sak; Neb Duric; Peter Littrup; Lisa Bey-Knight; Haythem Ali; Patricia Vallieres; Mark E Sherman; Gretchen L Gierach
Journal:  Ultrasound Med Biol       Date:  2016-09-29       Impact factor: 2.998

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