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Breast Cancer
Published in: Breast Cancer 3/2015

01-05-2015 | Review Article

Breast density: the trend in breast cancer screening

Authors: Youichi Machida, Mitsuhiro Tozaki, Akiko Shimauchi, Tamiko Yoshida

Published in: Breast Cancer | Issue 3/2015

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Abstract

The primary modality for breast cancer screening is mammography. Recent investigations, however, have indicated that an insufficient number of life-threatening cases have been detected by mammography while mammography can often results in a large number of overdiagnoses. To make breast cancer screening more effective, potential factors that influence screening efficacy need to be elucidated. Breast density is one of limiting factors for breast cancer detection using mammography. In this article, influence of breast density on breast screening is explained. Current topics related to breast density, objective assessment of breast density using applications, revision of breast composition classification in Breast Imaging-Reporting and Data System Mammography fifth edition, and legislative movement regarding breast density in the United States, are also mentioned in this review article.
Literature
1.
Tabár L, Fagerberg CJ, Gad A, Baldetorp L, Holmberg LH, Gröntoft O, et al. Reduction in mortality from breast cancer after mass screening with mammography. Randomised trial from the Breast Cancer Screening Working Group of the Swedish National Board of Health and Welfare. Lancet. 1985;1:829–32.CrossRefPubMed
2.
Andersson I, Aspegren K, Janzon L, Landberg T, Lindholm K, Linell F, et al. Mammographic screening and mortality from breast cancer: the Malmö mammographic screening trial. BMJ. 1988;297:943–8.CrossRefPubMedCentralPubMed
3.
Roberts MM, Alexander FE, Anderson TJ, Chetty U, Donnan PT, Forrest P, et al. Edinburgh trial of screening for breast cancer: mortality at seven years. Lancet. 1990;335:241–6.CrossRefPubMed
4.
Frisell J, Eklund G, Hellström L, Lidbrink E, Rutqvist LE, Somell A. Randomized study of mammography screening–preliminary report on mortality in the Stockholm trial. Breast Cancer Res Treat. 1991;18:49–56.CrossRefPubMed
5.
Van Dijck JA, Verbeek AL, Beex LV, Hendriks JH, Holland R, Mravunac M, et al. Mammographic screening after the age of 65 years: evidence for a reduction in breast cancer mortality. Int J Cancer. 1996;66:727–31.CrossRefPubMed
6.
Bleyer A, Welch HG. Effect of three decades of screening mammography on breast-cancer incidence. N Engl J Med. 2012;367:1998–2005.CrossRefPubMed
7.
Miller AB, Wall C, Baines CJ, Sun P, To T, Narod SA. Twenty five year follow-up for breast cancer incidence and mortality of the Canadian National Breast Screening Study: randomised screening trial. BMJ. 2014;348:g366.CrossRefPubMedCentralPubMed
8.
Helvie MA, Chang JT, Hendrick RE, Banerjee M. Reduction in late-stage breast cancer incidence in the mammography era: implications for overdiagnosis of invasive cancer. Cancer. 2014;120:2649–56.CrossRefPubMed
9.
Kerlikowske K, Grady D, Barclay J, Sickles EA, Ernster V. Effect of age, breast density, and family history on the sensitivity of first screening mammography. JAMA. 1996;276:33–8.CrossRefPubMed
10.
Osako T, Takahashi K, Iwase T, Iijima K, Miyagi Y, Nishimura S, et al. Diagnostic ultrasonography and mammography for invasive and noninvasive breast cancer in women aged 30 to 39 years. Breast Cancer. 2007;14:229–33.CrossRefPubMed
11.
Mandelson MT, Oestreicher N, Porter PL, White D, Finder CA, Taplin SH, et al. Breast density as a predictor of mammographic detection: comparison of interval- and screendetected cancers. J Natl Cancer Inst. 2000;92:1081–7.CrossRefPubMed
12.
Carney PA, Miglioretti DL, Yankaskas BC, Kerlikowske K, Rosenberg R, Rutter CM, et al. Individual and combined effects of age, breast density, and hormone replacement therapy use on the accuracy of screening mammography. Ann Intern Med. 2003;138:168–75.CrossRefPubMed
13.
Rosenberg RD, Hunt WC, Williamson MR, Gilliland FD, Wiest PW, Kelsey CA, et al. 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. Radiology. 1998;209:511–8.CrossRefPubMed
14.
Kolb TM, Lichy J, Newhouse JH. Comparison of the performance ofscreening mammography, physical examination, and breast US and evaluation of factors that influence them: an analysis of 27,825 patient evaluations. Radiology. 2002;225:165–75.CrossRefPubMed
15.
Chiu SYH, Duffy S, Yen AMF, et al. Effect of baseline breast density on breast cancer incidence, stage, mortality, and screening parameters: 25-year follow-up of a Swedish mammographic screening. Cancer Epidemiol Biomarkers Prev. 2010;19:1219e28.CrossRef
16.
Kriege M, Brekelmans C, Obdeijn I, Tabár L, Smith RA, Chen HH. Factors affecting sensitivity and specificity of screening mammography and MRI in women with an inherited risk for breast cancer. Breast Cancer Res Treat. 2006;100:109–19.CrossRefPubMed
17.
Cook AJ, Elmore JG, Miglioretti DL, Sickles EA, Aiello Bowles EJ, Cutter GR, et al. Decreased accuracy in interpretation of community-based screening mammography for women with multiple clinical risk factors. J ClinEpidemiol. 2010;63:441–51.
18.
Berg WA, Gutierrez L, NessAiver MS, Carter WB, Bhargavan M, Lewis RS, et al. Diagnostic accuracy of mammography, clinical examination, US, and MR imaging in preoperative assessment of breast cancer. Radiology. 2004;233:830–49.CrossRefPubMed
19.
Buist DSM, Porter PL, Lehman C, Taplin SH, White E. Factors contributing to mammography failure in women aged 40–49 years. J Natl Cancer Inst. 2004;96:1432–40.CrossRefPubMed
20.
Berg WA, Blume JD, Cormack JB, Mendelson EB, Lehrer D, Böhm-Vélez M, et al. ACRIN 6666 Investigators. Combined screening with ultrasound and mammography vs mammography alone in women at elevated risk of breast cancer. JAMA. 2008;299:2151–63.CrossRefPubMedCentralPubMed
21.
Brem RF, Tabár L, Duffy SW, Inciardi MF, Guingrich JA, Hashimoto BE, et al. Assessing Improvement in detection of breast cancer with three-dimensional automated breast US in women with dense breast tissue: the SomoInsight study. Radiology. 2015;274:663–73.
22.
Boyd NF, Guo H, Martin LJ, Sun L, Stone J, Fishell E, et al. Mammographic density and the risk and detection of breast cancer. N Engl J Med. 2007;356:227–36.CrossRefPubMed
23.
Ursin G, Ma H, Wu AH, Bernstein L, Salane M, Parisky YR, et al. Mammographic density and breast cancer in three ethnic groups. Cancer Epidemiol Biomarkers Prev. 2003;12:332–8.PubMed
24.
Byrne C, Schairer C, Wolfe J, Parekh N, Salane M, Brinton LA, et al. Mammographic features and breast cancer risk: effects with time, age, and menopause status. J Natl Cancer Inst. 1995;87:1622–9.CrossRefPubMed
25.
Boyd NF, Byng JW, Jong RA, Fishell EK, Little LE, Miller AB, et al. Quantitative classification of mammographic densities and breast cancer risk: results from the Canadian National Breast Screening Study. J Natl Cancer Inst. 1995;87:670–5.CrossRefPubMed
26.
Wolfe JN, Saftlas AF, Salane M. Mammographic parenchymal patterns and quantitative evaluation of mammographic densities: a case–control study. AJR Am J Roentgenol. 1987;148:1087–92.CrossRefPubMed
27.
Byrne C, Schairer C, Brinton LA, Wolfe J, Parekh N, Salane M, et al. Effects of mammographic density and benign breast disease on breast cancer risk (United States). Cancer Causes Control. 2001;12:103–10.CrossRefPubMed
28.
Harvey JA, Bovbjerg VE. Quantitative assessment of mammographic breast density: relationship with breast cancer risk. Radiology. 2004;230:29–41.CrossRefPubMed
29.
Boyd NF, Rommens JM, Vogt K, Lee V, Hopper JL, Yaffe MJ, et al. Mammographic breast density as an intermediate phenotype for breast cancer. Lancet Oncol. 2005;6:798–808.CrossRefPubMed
30.
McCormack VA, dos Santos Silva I. Breast density and parenchymal patterns as markers of breast cancer risk: a meta-analysis. Cancer Epidemiol Biomarkers Prev. 2006;15:1159–69.CrossRefPubMed
31.
Nagata C, Matsubara T, Fujita H, Nagao Y, Shibuya C, Kashiki Y, et al. Mammographic density and the risk of breast cancer in Japanese women. Br J Cancer. 2005;92:2102–6.CrossRefPubMedCentralPubMed
32.
Kotsuma Y, Tamaki Y, Nishimura T, Tsubai M, Ueda S, Shimazu K, et al. Quantitative assessment of mammographic density and breast cancer risk for Japanese women. Breast. 2008;17:27–35.CrossRefPubMed
33.
Wong CS, Lim GH, Gao F, Jakes RW, Offman J, Chia KS, et al. Mammographic density and its interaction with other breast cancer risk factors in an Asian population. Br J Cancer. 2011;104:871–4.CrossRefPubMedCentralPubMed
34.
Byng JW, Boyd NF, Fishell E, Jong RA, Yaffe MJ. The quantitative-analysis of mammographic densities. Phys Med Biol. 1994;39:1629–38.CrossRefPubMed
35.
Sivaramakrishna R, Obuchowski NA, Chilcote WA, Powell KA. Automatic segmentation of mammographic density. Acad Radiol. 2001;8:250–6.CrossRefPubMed
36.
Skippage P, Wilkinson L, Allen S, Roche N, Dowsett M, A’hern R. Correlation of age and HRT use with breast density as assessed by Quantra™. Breast J. 2013;19:79–86.CrossRefPubMed
37.
Wang J, Azziz A, Fan B, Malkov S, Klifa C, Newitt D, et al. Agreement of mammographic measures of volumetric breast density to MRI. PLoS One. 2013;8:e81653.CrossRefPubMedCentralPubMed
38.
Hammann-Kloss JS, Bick U, Fallenberg E, Engelken F. Volumetric quantification of the effect of aging and hormone replacement therapy on breast composition from digital mammograms. Eur J Radiol. 2014;83:1092–7.CrossRefPubMed
39.
Eng A, Gallant Z, Shepherd J, McCormack V, Li J, Dowsett M, et al. Digital mammographic density and breast cancer risk: a case control study of six alternative density assessment methods. Breast Cancer Res. 2014;16:439.CrossRefPubMedCentralPubMed
40.
Brand JS, Czene K, Shepherd JA, Leifland K, Heddson B, Sundbom A, et al. Automated measurement of volumetric mammographic density: a tool for widespread breast cancer risk assessment. Cancer Epidemiol Biomarkers Prev. 2014;23:1764–72.CrossRefPubMed
41.
42.
43.
Machida Y, Tozaki M, Yoshida T, Saita A, Yakabe M, Nii K. Feasibility study of a breast density measurement within a direct photon-counting mammography scanner system. Jpn J Radiol. 2014;32:561–7.CrossRefPubMed
44.
Sickles EA, D’Orsi CJ, Bassett LW, Appleton CM, Berg WA, Burnside ES, et al. ACR BI-RADS–Mammography 2013. In: Reston VA, editor. ACR BI-RADS atlas breast imaging reporting and data system. 5th ed. American College of Radiology; 2014. p. 123–26.
45.
Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33:159–74.CrossRefPubMed
46.
Ciatto S, Houssami N, Apruzzese A, Bassetti E, Brancato B, Carozzi F, et al. Categorizing breast mammographic density: intra- and interobserver reproducibility of BI-RADS density categories. Breast. 2005;14:269–75.CrossRefPubMed
47.
Ooms EA, Zonderland HM, Eijkemans MJ, Kriege M, MahdavianDelavary B, et al. Mammography: interobserver variability in breast density assessment. Breast. 2007;16:568–76.CrossRefPubMed
48.
Bernardi D, Pellegrini M, Di Michele S, Tuttobene P, Fantò C, Valentini M, et al. Interobserver agreement in breast radiological density attribution according to BI-RADS quantitative classification. Radiol Med. 2012;117:519–28.CrossRefPubMed
49.
Redondo A, Comas M, Macià F, Ferrer F, Murta-Nascimento C, Maristany MT, et al. Inter- and intraradiologist variability in the BI-RADS assessment and breast density categories for screening mammograms. Br J Radiol. 2012;85:1465–70.CrossRefPubMedCentralPubMed
50.
51.
52.
Ho JM, Jafferjee N, Covarrubias GM, Ghesani M, Handler B. Dense breasts: a review of reporting legislation and available supplemental screening options. AJR Am J Roentgenol. 2014;203:449–56.CrossRefPubMed
53.
Warner E, Plewes DB, Hill KA, Causer PA, Zubovits JT, Jong RA, et al. Surveillance of BRCA1 and BRCA2 mutation carriers with magnetic resonance imaging, ultrasound, mammography, and clinical breast examination. JAMA. 2004;292:1317–25.CrossRefPubMed
54.
Le-Petross HT, Whitman GJ, Atchley DP, Yuan Y, Gutierrez-Barrera A, Hortobagyi GN, et al. Effectiveness of alternating mammography and magnetic resonance imaging for screening women with deleterious BRCA mutations at high risk of breast cancer. Cancer. 2011;117:3900–7.CrossRefPubMed
55.
Evans DG, Kesavan N, Lim Y, Gadde S, Hurley E, Massat NJ, et al. MARIBS Group, Howell A, Duffy SW. MRI breast screening in high-risk women: cancer detection and survival analysis. Breast Cancer Res Treat. 2014;145:663–72.CrossRefPubMed
56.
Berg WA, Zhang Z, Lehrer D, Jong RA, Pisano ED, Barr RG, et al. ACRIN 6666 Investigators. Detection of breast cancer with addition of annual screening ultrasound or a single screening MRI to mammography in women with elevated breast cancer risk. JAMA. 2012;307:1394–404.CrossRefPubMedCentralPubMed
Metadata
Title
Breast density: the trend in breast cancer screening
Authors
Youichi Machida
Mitsuhiro Tozaki
Akiko Shimauchi
Tamiko Yoshida
Publication date
01-05-2015
Publisher
Springer Japan
Published in
Breast Cancer / Issue 3/2015
Print ISSN: 1340-6868
Electronic ISSN: 1880-4233
DOI
https://doi.org/10.1007/s12282-015-0602-2

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