Literature DB >> 10693066

High mammographic breast density and its implications for the early detection of breast cancer.

C H van Gils1, J D Otten, J H Hendriks, R Holland, H Straatman, A L Verbeek.   

Abstract

OBJECTIVES: Women with high mammographic breast density are at increased risk of breast cancer. This study explores whether these women should receive intensified screening (more frequent screening or screening with alternative techniques that increase the length of the preclinical detectable phase) to reduce further breast cancer mortality.
METHODS: Mathematical models were used to estimate the effects of intensified screening in women with high breast density. The effects were expressed as a reduction in the number of interval cancers.
RESULTS: If women with > 25% breast density (comprising about one fifth of all women) are screened annually instead of biennially, an 18% reduction in the total number of interval cancers can be expected. Screening these women with alternative screening techniques biennially may produce the same reduction, provided that these techniques double the mean lead time.
CONCLUSIONS: By screening women with dense breasts more intensively, many more breast cancers can theoretically be detected at an early stage. The results provide an early indication of what may be expected from screening strategies. Next, cost-benefit analyses are needed.

Entities:  

Mesh:

Year:  1999        PMID: 10693066     DOI: 10.1136/jms.6.4.200

Source DB:  PubMed          Journal:  J Med Screen        ISSN: 0969-1413            Impact factor:   2.136


  6 in total

1.  Evaluating the effect of a wavelet enhancement method in characterization of simulated lesions embedded in dense breast parenchyma.

Authors:  L Costaridou; S Skiadopoulos; P Sakellaropoulos; E Likaki; C P Kalogeropoulou; G Panayiotakis
Journal:  Eur Radiol       Date:  2005-02-09       Impact factor: 5.315

Review 2.  A review of the influence of mammographic density on breast cancer clinical and pathological phenotype.

Authors:  Michael S Shawky; Cecilia W Huo; Kara Britt; Erik W Thompson; Michael A Henderson; Andrew Redfern
Journal:  Breast Cancer Res Treat       Date:  2019-06-08       Impact factor: 4.872

3.  Validation of a method for measuring the volumetric breast density from digital mammograms.

Authors:  O Alonzo-Proulx; N Packard; J M Boone; A Al-Mayah; K K Brock; S Z Shen; M J Yaffe
Journal:  Phys Med Biol       Date:  2010-05-12       Impact factor: 3.609

4.  Near-Infrared Visual Differentiation in Normal and Abnormal Breast Using Hemoglobin Concentrations.

Authors:  Parinaz Mehnati; Sirous Khorram; Mohammad Sadegh Zakerhamidi; Farhood Fahima
Journal:  J Lasers Med Sci       Date:  2017-12-26

5.  Decreased TGFbeta signaling and increased COX2 expression in high risk women with increased mammographic breast density.

Authors:  Wei Tse Yang; Michael T Lewis; Kenneth Hess; Helen Wong; Anna Tsimelzon; Nese Karadag; Michelina Cairo; Caimaio Wei; Funda Meric-Bernstam; Powel Brown; Banu Arun; Gabriel N Hortobagyi; Aysegul Sahin; Jenny C Chang
Journal:  Breast Cancer Res Treat       Date:  2009-02-25       Impact factor: 4.872

6.  Mammographic density estimation with automated volumetric breast density measurement.

Authors:  Su Yeon Ko; Eun-Kyung Kim; Min Jung Kim; Hee Jung Moon
Journal:  Korean J Radiol       Date:  2014-04-29       Impact factor: 3.500

  6 in total

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