Literature DB >> 15331472

Influence of personal characteristics of individual women on sensitivity and specificity of mammography in the Million Women Study: cohort study.

Emily Banks1, Gillian Reeves, Valerie Beral, Diana Bull, Barbara Crossley, Moya Simmonds, Elizabeth Hilton, Stephen Bailey, Nigel Barrett, Peter Briers, Ruth English, Alan Jackson, Elizabeth Kutt, Janet Lavelle, Linda Rockall, Matthew G Wallis, Mary Wilson, Julietta Patnick.   

Abstract

OBJECTIVES: To examine how lifestyle, hormonal, and other factors influence the sensitivity and specificity of mammography.
METHODS: Women recruited into the Million Women Study completed a questionnaire about various personal factors before routine mammographic screening. A sample of 122,355 women aged 50-64 years were followed for outcome of screening and incident breast cancer in the next 12 months. Sensitivity and specificity were calculated by using standard definitions, with adjustment for potential confounding factors.
RESULTS: Breast cancer was diagnosed in 726 (0.6%) women, 629 in screen positive and 97 in screen negative women; 3885 (3.2%) were screen positive but had no subsequent diagnosis of breast cancer. Overall sensitivity was 86.6% and specificity was 96.8%. Three factors had an adverse effect on both measures: use of hormone replacement therapy (sensitivity: 83.0% (95% confidence interval 77.4% to 87.6%), 84.7% (73.9% to 91.6%), and 92.1% (87.6% to 95.0%); specificity: 96.8% (96.6% to 97.0%), 97.8% (97.5% to 98.0%), and 98.1% (98.0% to 98.2%), respectively, for current, past, and never use); previous breast surgery v no previous breast surgery (sensitivity: 83.5% (75.7% to 89.1%) v 89.4% (86.5% to 91.8%); specificity: 96.2% (95.8% to 96.5%) v 97.4% (97.3% to 97.5%), respectively); and body mass index < 25 v > or = 25 (sensitivity: 85.7% (81.2% to 89.3%) v 91.0% (87.5% to 93.6%); specificity: 97.2% (97.0% to 97.3%) v 97.4% (97.3% to 97.6%), respectively). Neither sensitivity nor specificity varied significantly according to age, family history of breast cancer, parity, past oral contraceptive use, tubal ligation, physical activity, smoking, or alcohol consumption.
CONCLUSIONS: The efficiency, and possibly the effectiveness, of mammographic screening is lower in users of hormone replacement therapy, in women with previous breast surgery, and in thin women compared with other women.

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Mesh:

Year:  2004        PMID: 15331472      PMCID: PMC515195          DOI: 10.1136/bmj.329.7464.477

Source DB:  PubMed          Journal:  BMJ        ISSN: 0959-8138


  21 in total

1.  Predictors of outcome of mammography in the National Health Service Breast Screening Programme.

Authors:  E Banks; G Reeves; V Beral; D Bull; B Crossley; M Simmonds; E Hilton; S Bailey; N Barrett; P Briers; R English; A Jackson; E Kutt; J Lavelle; L Rockall; M G Wallis; M Wilson
Journal:  J Med Screen       Date:  2002       Impact factor: 2.136

2.  Impact of use of hormone replacement therapy on false positive recall in the NHS breast screening programme: results from the Million Women Study.

Authors:  Emily Banks; Gillian Reeves; Valerie Beral; Diana Bull; Barbara Crossley; Moya Simmonds; Elizabeth Hilton; Stephen Bailey; Nigel Barrett; Peter Briers; Ruth English; Alan Jackson; Elizabeth Kutt; Janet Lavelle; Linda Rockall; Matthew G Wallis; Mary Wilson; Julietta Patnick
Journal:  BMJ       Date:  2004-05-29

3.  Relationship of mammographic parenchymal patterns with breast cancer risk factors and risk of breast cancer in a prospective study.

Authors:  B L de Stavola; I H Gravelle; D Y Wang; D S Allen; R D Bulbrook; I S Fentiman; J L Hayward; M C Chaudary
Journal:  Int J Epidemiol       Date:  1990-06       Impact factor: 7.196

4.  Case-control study of factors associated with failure to detect breast cancer by mammography.

Authors:  L Ma; E Fishell; B Wright; W Hanna; S Allan; N F Boyd
Journal:  J Natl Cancer Inst       Date:  1992-05-20       Impact factor: 13.506

5.  Mammographic parenchymal patterns and mode of detection: implications for the breast screening programme.

Authors:  E Sala; R Warren; J McCann; S Duffy; N Day; R Luben
Journal:  J Med Screen       Date:  1998       Impact factor: 2.136

6.  Breast tumor characteristics as predictors of mammographic detection: comparison of interval- and screen-detected cancers.

Authors:  P L Porter; A Y El-Bastawissi; M T Mandelson; M G Lin; N Khalid; E A Watney; L Cousens; D White; S Taplin; E White
Journal:  J Natl Cancer Inst       Date:  1999-12-01       Impact factor: 13.506

Review 7.  Hormone replacement therapy and the sensitivity and specificity of breast cancer screening: a review.

Authors:  E Banks
Journal:  J Med Screen       Date:  2001       Impact factor: 2.136

8.  Effects of estrogen and estrogen-progestin on mammographic parenchymal density. Postmenopausal Estrogen/Progestin Interventions (PEPI) Investigators.

Authors:  G A Greendale; B A Reboussin; A Sie; H R Singh; L K Olson; O Gatewood; L W Bassett; C Wasilauskas; T Bush; E Barrett-Connor
Journal:  Ann Intern Med       Date:  1999-02-16       Impact factor: 25.391

9.  Effects of age, breast density, ethnicity, and estrogen replacement therapy on screening mammographic sensitivity and cancer stage at diagnosis: review of 183,134 screening mammograms in Albuquerque, New Mexico.

Authors:  R D Rosenberg; W C Hunt; M R Williamson; F D Gilliland; P W Wiest; C A Kelsey; C R Key; M N Linver
Journal:  Radiology       Date:  1998-11       Impact factor: 11.105

10.  Patterns of use of hormone replacement therapy in one million women in Britain, 1996-2000.

Authors: 
Journal:  BJOG       Date:  2002-12       Impact factor: 6.531

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  20 in total

1.  Variation in Breast Cancer-Risk Factor Associations by Method of Detection: Results From a Series of Case-Control Studies.

Authors:  Brian L Sprague; Ronald E Gangnon; John M Hampton; Kathleen M Egan; Linda J Titus; Karla Kerlikowske; Patrick L Remington; Polly A Newcomb; Amy Trentham-Dietz
Journal:  Am J Epidemiol       Date:  2015-05-05       Impact factor: 4.897

2.  A genetic strategy for combined screening and localized imaging of breast cancer.

Authors:  Jason M Warram; Anton V Borovjagin; Kurt R Zinn
Journal:  Mol Imaging Biol       Date:  2011-06       Impact factor: 3.488

3.  Relationship between body mass index and malignancy rates of MRI-guided breast biopsies: impact of clinicodemographic factors.

Authors:  Annie Tang; Caitlin M Cohan; Keith S Hansen; Genna Beattie; Heather I Greenwood; Rita A Mukhtar
Journal:  Breast Cancer Res Treat       Date:  2021-03-27       Impact factor: 4.872

4.  Effect of previous benign breast biopsy on the interpretive performance of subsequent screening mammography.

Authors:  Stephen H Taplin; L Abraham; B M Geller; B C Yankaskas; D S M Buist; R Smith-Bindman; C Lehman; D Weaver; P A Carney; W E Barlow
Journal:  J Natl Cancer Inst       Date:  2010-07-02       Impact factor: 13.506

5.  An assessment of the quality of mammography care at facilities treating medically vulnerable populations.

Authors:  L Elizabeth Goldman; Sebastien J-P A Haneuse; Diana L Miglioretti; Karla Kerlikowske; Diana S M Buist; Bonnie Yankaskas; Rebecca Smith-Bindman
Journal:  Med Care       Date:  2008-07       Impact factor: 2.983

6.  Obesity, mammography use and accuracy, and advanced breast cancer risk.

Authors:  Karla Kerlikowske; Rod Walker; Diana L Miglioretti; Arati Desai; Rachel Ballard-Barbash; Diana S M Buist
Journal:  J Natl Cancer Inst       Date:  2008-11-25       Impact factor: 13.506

7.  Hormone replacement therapy and false positive recall in the Million Women Study: patterns of use, hormonal constituents and consistency of effect.

Authors:  Emily Banks; Gillian Reeves; Valerie Beral; Diana Bull; Barbara Crossley; Moya Simmonds; Elizabeth Hilton; Stephen Bailey; Nigel Barrett; Peter Briers; Ruth English; Alan Jackson; Elizabeth Kutt; Janet Lavelle; Linda Rockall; Matthew G Wallis; Mary Wilson; Julietta Patnick
Journal:  Breast Cancer Res       Date:  2005-12-23       Impact factor: 6.466

8.  Delays in the diagnosis of six cancers: analysis of data from the National Survey of NHS Patients: Cancer.

Authors:  V L Allgar; R D Neal
Journal:  Br J Cancer       Date:  2005-06-06       Impact factor: 7.640

9.  Correlations between female breast density and biochemical markers.

Authors:  Ji-Hye Kim; Hae-Kag Lee; Jae-Hwan Cho; Hyong-Keun Park; Han-Jun Yang
Journal:  J Phys Ther Sci       Date:  2015-07-22

Review 10.  Breast cancer risk factors.

Authors:  Marzena Kamińska; Tomasz Ciszewski; Karolina Łopacka-Szatan; Paweł Miotła; Elżbieta Starosławska
Journal:  Prz Menopauzalny       Date:  2015-09-30
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