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Volumn 24, Issue 6, 2015, Pages 889-897

One versus two breast density measures to predict 5- and 10-year breast cancer risk

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; AREA UNDER THE CURVE; ARTICLE; BREAST BIOPSY; BREAST CANCER; BREAST DENSITY; CANCER RISK; ETHNICITY; FAMILY HISTORY; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MIDDLE AGED; PRIORITY JOURNAL; RACE; RISK FACTOR; VITAL STATISTICS; BREAST; BREAST NEOPLASMS; CANCER REGISTRY; DIAGNOSTIC IMAGING; EARLY CANCER DIAGNOSIS; ETHNOLOGY; FOLLOW UP; INCIDENCE; MAMMOGRAPHY; PATHOLOGY; PROGNOSIS; RISK ASSESSMENT; STATISTICAL MODEL; UNITED STATES;

EID: 84941761446     PISSN: 10559965     EISSN: None     Source Type: Journal    
DOI: 10.1158/1055-9965.EPI-15-0035     Document Type: Article
Times cited : (36)

References (37)
  • 2
    • 41049090799 scopus 로고    scopus 로고
    • Using clinical factors and mammographic breast density to estimate breast cancer risk: Development and validation of a new predictive model
    • Tice JA, Cummings SR, Smith-Bindman R, Ichikawa L, Barlow WE, Kerlikowske K. Using clinical factors and mammographic breast density to estimate breast cancer risk: development and validation of a new predictive model. Ann Intern Med 2008;148:337-47.
    • (2008) Ann Intern Med , vol.148 , pp. 337-347
    • Tice, J.A.1    Cummings, S.R.2    Smith-Bindman, R.3    Ichikawa, L.4    Barlow, W.E.5    Kerlikowske, K.6
  • 4
    • 0032477348 scopus 로고    scopus 로고
    • Variability and accuracy inmammographic interpretation using the American College of Radiology Breast Imaging Reporting and Data System (BIRADS)
    • Kerlikowske K, Grady D, Barclay J, Frankel S, Ominsky S, Sickles EA, et al. Variability and accuracy inmammographic interpretation using the American College of Radiology Breast Imaging Reporting and Data System (BIRADS). J Natl Cancer Inst 1998;90:1801-9.
    • (1998) J Natl Cancer Inst , vol.90 , pp. 1801-1809
    • Kerlikowske, K.1    Grady, D.2    Barclay, J.3    Frankel, S.4    Ominsky, S.5    Sickles, E.A.6
  • 5
    • 23444443332 scopus 로고    scopus 로고
    • Categorizing breast mammographic density: Intra-and interobserver reproducibility of BI-RADS density categories
    • 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.
    • (2005) Breast , vol.14 , pp. 269-275
    • Ciatto, S.1    Houssami, N.2    Apruzzese, A.3    Bassetti, E.4    Brancato, B.5    Carozzi, F.6
  • 6
    • 84863717496 scopus 로고    scopus 로고
    • Reproducibility of BI-RADS breast density measures among community radiologists: A prospective cohort study
    • Spayne M,Gard C, Skelly J, Miglioretti D, Vacek P,Geller B. Reproducibility of BI-RADS breast density measures among community radiologists: a prospective cohort study. Breast J 2012;18:326-33.
    • (2012) Breast J , vol.18 , pp. 326-333
    • Spayne, M.1    Gard, C.2    Skelly, J.3    Miglioretti, D.4    Vacek, P.5    Geller, B.6
  • 7
    • 84940725139 scopus 로고    scopus 로고
    • Misclassification of Breast Imaging Reporting and Data System (BI-RADS) mammographic density and implications for breast density reporting legislation
    • Press
    • Gard C, Bowles E, Miglioretti D, Taplin S, Rutter C. Misclassification of Breast Imaging Reporting and Data System (BI-RADS) mammographic density and implications for breast density reporting legislation. Breast J 2015;21:In Press.
    • (2015) Breast J , vol.21
    • Gard, C.1    Bowles, E.2    Miglioretti, D.3    Taplin, S.4    Rutter, C.5
  • 9
    • 33947723142 scopus 로고    scopus 로고
    • Longitudinal measurement of clinical mammographic breast density improves estimation of breast cancer risk
    • Kerlikowske K, Ichikawa L, Miglioretti D, Buist D, Vacek P, Smith-Bindman R, et al. Longitudinal measurement of clinical mammographic breast density improves estimation of breast cancer risk. J Natl Cancer Inst 2007; 99:386-95.
    • (2007) J Natl Cancer Inst , vol.99 , pp. 386-395
    • Kerlikowske, K.1    Ichikawa, L.2    Miglioretti, D.3    Buist, D.4    Vacek, P.5    Smith-Bindman, R.6
  • 10
    • 79955758418 scopus 로고    scopus 로고
    • Tamoxifen-induced reduction inmammographic density and breast cancer risk reduction: A nested case-control study
    • Cuzick J, Warwick J, Pinney E, Duffy SW, Cawthorn S, Howell A, et al. Tamoxifen-induced reduction inmammographic density and breast cancer risk reduction: a nested case-control study. J Natl Cancer Inst 2011;103: 744-52.
    • (2011) J Natl Cancer Inst , vol.103 , pp. 744-752
    • Cuzick, J.1    Warwick, J.2    Pinney, E.3    Duffy, S.W.4    Cawthorn, S.5    Howell, A.6
  • 11
    • 84863498041 scopus 로고    scopus 로고
    • Breast density change as a predictive surrogate for response to adjuvant endocrine therapy in hormone receptor positive breast cancer
    • Kim J,Han W, Moon H, Ahn S, Shin H, You J, et al. Breast density change as a predictive surrogate for response to adjuvant endocrine therapy in hormone receptor positive breast cancer. Breast Cancer Res 2012;14:R102.
    • (2012) Breast Cancer Res , vol.14 , pp. R102
    • Kim, J.1    Han, W.2    Moon, H.3    Ahn, S.4    Shin, H.5    You, J.6
  • 14
    • 84897511975 scopus 로고    scopus 로고
    • A systematic assessment of benefits and risks to guide breast cancer screening decisions
    • Pace LE, Keating NL. A systematic assessment of benefits and risks to guide breast cancer screening decisions. JAMA 2014;311:1327-35.
    • (2014) JAMA , vol.311 , pp. 1327-1335
    • Pace, L.E.1    Keating, N.L.2
  • 15
    • 84941765157 scopus 로고    scopus 로고
    • National Cancer Institute, DCCPS, Surveillance Research Program, Cancer Statistics Branch; [accessed 2013 Dec 12 for invasive cancer and on 2014 Jan 13 for in situ cancers]. Available from
    • Surveillance Epidemiology SEER Program: SEER∗Stat Database Version 8.1.2. Incidence-SEER 18 Regs Public-Use, Sub (2000-2010), National Cancer Institute, DCCPS, Surveillance Research Program, Cancer Statistics Branch; 2014 [accessed 2013 Dec 12 for invasive cancer and on 2014 Jan 13 for in situ cancers]. Available from: http://www.seer.cancer.gov.
    • (2014) Surveillance Epidemiology SEER Program: SEER∗Stat Database Version 8.1.2. Incidence-SEER 18 Regs Public-Use, Sub (2000-2010)
  • 16
    • 0024801278 scopus 로고
    • Projecting individualized probabilities of developing breast cancer for white females who are being examined annually
    • Gail MH, Brinton LA, Byar DP, Corle DK, Green SB, Schairer C, et al. Projecting individualized probabilities of developing breast cancer for white females who are being examined annually. J Natl Cancer Inst 1989; 81:1879-86.
    • (1989) J Natl Cancer Inst , vol.81 , pp. 1879-1886
    • Gail, M.H.1    Brinton, L.A.2    Byar, D.P.3    Corle, D.K.4    Green, S.B.5    Schairer, C.6
  • 18
    • 84958687307 scopus 로고    scopus 로고
    • Development and evaluation of multi-marker risk scores for clinical prognosis
    • published online July 5, 2012
    • French B, Saha-Chaudhuri P, Ky B, Cappola TP, Heagerty PJ. Development and evaluation of multi-marker risk scores for clinical prognosis. Stat Methods Med Res 2012; published online July 5, 2012. doi: 10.1177/0962280212451881.
    • (2012) Stat Methods Med Res
    • French, B.1    Saha-Chaudhuri, P.2    Ky, B.3    Cappola, T.P.4    Heagerty, P.J.5
  • 19
    • 38849091997 scopus 로고    scopus 로고
    • Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond
    • Pencina M, D'Agostino RS, D'Agostino RJ, Vasan R. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med 2008;27:157-72.
    • (2008) Stat Med , vol.27 , pp. 157-172
    • Pencina, M.1    D'Agostino, R.S.2    D'Agostino, R.J.3    Vasan, R.4
  • 20
    • 66649130580 scopus 로고    scopus 로고
    • Advances inmeasuring the effect of individual predictors of cardiovascular risk: The role of reclassificationmeasures
    • Cook N, Ridker P: Advances inmeasuring the effect of individual predictors of cardiovascular risk: The role of reclassificationmeasures. Ann Intern Med 2009;150:795-802.
    • (2009) Ann Intern Med , vol.150 , pp. 795-802
    • Cook, N.1    Ridker, P.2
  • 21
    • 0000336135 scopus 로고
    • Discussion of Professor Cox's paper
    • Breslow NE. Discussion of Professor Cox's paper. J Royal Stat Soc B 1972; 34:216-7.
    • (1972) J Royal Stat Soc B , vol.34 , pp. 216-217
    • Breslow, N.E.1
  • 22
    • 0033936550 scopus 로고    scopus 로고
    • Time-dependent ROC curves for censored curvival data and a diagnostic marker
    • Heagerty PJ, Lumley T, PepeMS. Time-dependent ROC curves for censored curvival data and a diagnostic marker. Biometrics 2000;56:337-44.
    • (2000) Biometrics , vol.56 , pp. 337-344
    • Heagerty, P.J.1    Lumley, T.2    Pepe, M.S.3
  • 23
    • 0000629975 scopus 로고
    • Cross-validatory choice and assessment of statistical predictions
    • Stone M. Cross-validatory choice and assessment of statistical predictions. J Roy Stat Soc B 1974;26:111-47.
    • (1974) J Roy Stat Soc B , vol.26 , pp. 111-147
    • Stone, M.1
  • 24
    • 0000859675 scopus 로고
    • An asymptotic equivalence of choice of model by cross-validation and Akaike's criterion
    • Stone M. An asymptotic equivalence of choice of model by cross-validation and Akaike's criterion. J Roy Stat Soc B 1977;39:44-7.
    • (1977) J Roy Stat Soc B , vol.39 , pp. 44-47
    • Stone, M.1
  • 25
    • 84898646394 scopus 로고    scopus 로고
    • SurvivalROC: Time-dependent ROC curve estimation from censored survival data
    • [accessed 2014 Nov 18]. Available from
    • Heagerty P, Saha P. survivalROC: time-dependent ROC curve estimation from censored survival data. R package version 1.0.3; 2013 [accessed 2014 Nov 18]. Available from: http://CRAN.R-project.org/package=survivalROC.
    • (2013) R Package Version 1.0.3;
    • Heagerty, P.1    Saha, P.2
  • 26
    • 84878105433 scopus 로고    scopus 로고
    • Cmprsk: Subdistribution analysis of competing risks
    • [accessed 2014 Nov 18]. Available from
    • Gray B. cmprsk: Subdistribution analysis of competing risks. R package version 2.2-7 2014 [accessed 2014 Nov 18]. Available from: http://CRAN.R-project.org/package=cmprsk.
    • (2014) R Package Version 2.2-7
    • Gray, B.1
  • 27
    • 84928426730 scopus 로고    scopus 로고
    • The contributions of breast density and common genetic variation to breast cancer risk
    • Vachon C, Pankratz V, Scott C, Haeberle L, Ziv E, Jensen M, et al. The contributions of breast density and common genetic variation to breast cancer risk. J Natl Cancer Inst 107, doi:10.1093/jnci/dju397.
    • J Natl Cancer Inst , vol.107
    • Vachon, C.1    Pankratz, V.2    Scott, C.3    Haeberle, L.4    Ziv, E.5    Jensen, M.6
  • 31
    • 84904471300 scopus 로고    scopus 로고
    • Changes in mammographic density over time in breast cancer cases andwomenat high risk for breast cancer
    • Work M, Reimers L, Quante A, Crew K, Whiffen A, Terry M. Changes in mammographic density over time in breast cancer cases andwomenat high risk for breast cancer. Int J Cancer 2014;135:1740-4.
    • (2014) Int J Cancer , vol.135 , pp. 1740-1744
    • Work, M.1    Reimers, L.2    Quante, A.3    Crew, K.4    Whiffen, A.5    Terry, M.6
  • 32
    • 84882931934 scopus 로고    scopus 로고
    • Mammographic density reduction is a prognostic marker of response to adjuvant tamoxifen therapy in postmenopausal patients with breast cancer
    • Li J, Humphreys K, Eriksson L, Edgren G, Czene K, Hall P. Mammographic density reduction is a prognostic marker of response to adjuvant tamoxifen therapy in postmenopausal patients with breast cancer. J Clin Oncol 2013;31:2249-56.
    • (2013) J Clin Oncol , vol.31 , pp. 2249-2256
    • Li, J.1    Humphreys, K.2    Eriksson, L.3    Edgren, G.4    Czene, K.5    Hall, P.6
  • 33
    • 84880336085 scopus 로고    scopus 로고
    • Change of mammographic density predicts the risk of contralateral breast cancer - A case-control study
    • Sandberg M, Li J, Hall P, Hartman M, dos-Santos-Silva I, Humphreys K, et al. Change of mammographic density predicts the risk of contralateral breast cancer-a case-control study. Breast Cancer Res 2013;15:R57.
    • (2013) Breast Cancer Res , vol.15 , pp. R57
    • Sandberg, M.1    Li, J.2    Hall, P.3    Hartman, M.4    Dos-Santos-Silva, I.5    Humphreys, K.6
  • 34
    • 84920555150 scopus 로고    scopus 로고
    • Acceptance and adherence to chemoprevention among women at increased risk of breast cancer
    • Roetzheim RG, Lee JH, Fulp W, Matos Gomez E, Clayton E, Tollin S, et al. Acceptance and adherence to chemoprevention among women at increased risk of breast cancer. Breast 2015;24:51-6.
    • (2015) Breast , vol.24 , pp. 51-56
    • Roetzheim, R.G.1    Lee, J.H.2    Fulp, W.3    Matos Gomez, E.4    Clayton, E.5    Tollin, S.6
  • 35
    • 1842680082 scopus 로고    scopus 로고
    • A breast cancer prediction model incorporating familial and personal risk factors
    • Tyrer J, Duff SW, Cuzick J. A breast cancer prediction model incorporating familial and personal risk factors. Statist Med 2004;23:1111-30.
    • (2004) Statist Med , vol.23 , pp. 1111-1130
    • Tyrer, J.1    Duff, S.W.2    Cuzick, J.3
  • 36
    • 84865476565 scopus 로고    scopus 로고
    • Assessing individual breast cancer risk within the U.K. NationalHealth Service Breast Screening Program: A new paradigm for cancer prevention
    • EvansD,Warwick J, Astley S, Stavrinos P, Sahin S, Ingham S, et al. Assessing individual breast cancer risk within the U.K. NationalHealth Service Breast Screening Program: a new paradigm for cancer prevention. Cancer Prev Res 2012;7:943-51.
    • (2012) Cancer Prev Res , vol.7 , pp. 943-951
    • Evans, D.1    Warwick, J.2    Astley, S.3    Stavrinos, P.4    Sahin, S.5    Ingham, S.6


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