Literature DB >> 20406961

Effect of baseline breast density on breast cancer incidence, stage, mortality, and screening parameters: 25-year follow-up of a Swedish mammographic screening.

Sherry Yueh-Hsia Chiu1, Stephen Duffy, Amy Ming-Fang Yen, Laszlo Tabár, Robert A Smith, Hsiu-Hsi Chen.   

Abstract

BACKGROUND: We aimed to quantitatively assess the effect of baseline breast density on the incidence, stage, and mortality, and also the natural course of the disease, considering the sensitivity of mammography to clarify its causal or masking effect.
METHODS: In total, 15,658 women ages 45 to 59 years from the Kopparberg randomized controlled trial in Sweden were prospectively followed from 1977 until 2004 to ascertain breast cancer incidence and death. Dense breast tissue collected at the beginning of the study was defined as pattern IV or V by the Tabár classification. Conventional risk factors were also collected at baseline. The three-state Markov model was used to estimate the preclinical incidence rate and the mean sojourn time given the fixed sensitivity.
RESULTS: Dense breast tissue was significantly associated with breast cancer incidence [relative risk (RR)=1.57 (1.18-1.67)] and with breast cancer mortality [RR=1.91 (1.26-2.91)] after adjusting for other risk factors. Cumulative incidence rates irrespective of nonadvanced and advanced breast cancer were higher in dense breast tissue compared with nondense tissue but no difference in survival was detected between dense and nondense breast tissue. Dense breast tissue had a higher preclinical incidence rate (causal effect) and shorter mean sojourn time (masking effect) compared with nondense breast tissue by controlling the sensitivity of mammography.
CONCLUSION: We corroborated the effect of baseline breast density with a higher incidence and mortality and also showed its contribution to a masking effect with long-term follow-up data. IMPACT: Results suggest that the screening policy with a predominantly shorter screening interval and with alternative imaging techniques might be indicated in women with dense breast tissue. Copyright (c) 2010 AACR

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Year:  2010        PMID: 20406961     DOI: 10.1158/1055-9965.EPI-09-1028

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


  52 in total

Review 1.  Clinical and epidemiological issues in mammographic density.

Authors:  Valentina Assi; Jane Warwick; Jack Cuzick; Stephen W Duffy
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2.  Comparison of radiation exposure and associated radiation-induced cancer risks from mammography and molecular imaging of the breast.

Authors:  Michael K O'Connor; Hua Li; Deborah J Rhodes; Carrie B Hruska; Conor B Clancy; Richard J Vetter
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3.  Awareness of breast density and its impact on breast cancer detection and risk.

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4.  Decrease in interpretation time for both novice and experienced readers using a concurrent computer-aided detection system for digital breast tomosynthesis.

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Review 5.  Applications of Advanced Breast Imaging Modalities.

Authors:  Arwa A Alzaghal; Pamela J DiPiro
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6.  Personalizing mammography by breast density and other risk factors for breast cancer: analysis of health benefits and cost-effectiveness.

Authors:  John T Schousboe; Karla Kerlikowske; Andrew Loh; Steven R Cummings
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7.  Interreader scoring variability in an observer study using dual-modality imaging for breast cancer detection in women with dense breasts.

Authors:  Karen Drukker; Karla J Horsch; Lorenzo L Pesce; Maryellen L Giger
Journal:  Acad Radiol       Date:  2013-04-17       Impact factor: 3.173

8.  Mammographic Density and Prediction of Nodal Status in Breast Cancer Patients.

Authors:  C C Hack; L Häberle; K Geisler; R Schulz-Wendtland; A Hartmann; P A Fasching; M Uder; D L Wachter; S M Jud; C R Loehberg; M P Lux; C Rauh; M W Beckmann; K Heusinger
Journal:  Geburtshilfe Frauenheilkd       Date:  2013-02       Impact factor: 2.915

9.  Adaptable near-infrared spectroscopy fiber array for improved coupling to different breast sizes during clinical MRI.

Authors:  Michael A Mastanduno; Fadi El-Ghussein; Shudong Jiang; Roberta Diflorio-Alexander; Xu Junqing; Yin Hong; Brian W Pogue; Keith D Paulsen
Journal:  Acad Radiol       Date:  2014-02       Impact factor: 3.173

10.  Polygenic susceptibility to prostate and breast cancer: implications for personalised screening.

Authors:  N Pashayan; S W Duffy; S Chowdhury; T Dent; H Burton; D E Neal; D F Easton; R Eeles; P Pharoah
Journal:  Br J Cancer       Date:  2011-04-05       Impact factor: 7.640

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