Skip to main content
An official website of the United States government
Grant Details

Grant Number: 5R01CA177150-05 Interpret this number
Primary Investigator: Vachon, Celine
Organization: Mayo Clinic Rochester
Project Title: Automated Density Measures for Estimating Breast Cancer Risk and Therapy Response
Fiscal Year: 2017


Abstract

DESCRIPTION (provided by applicant): Breast density assessed from film-screen mammography is one of the strongest risk factors for breast cancer and provides important information not only for risk assessment, but also for tailoring breast screening approaches and determining response to therapies. To date, the clinical potential of breast density has not been fully realized, in part due to lack of a standard, reproducible, objective and automated clinical density measure. Currently, the American College of Radiology Breast Imaging Reporting and Data System (BI-RADS) 4-category qualitative assessment is the most widely used clinical density measure, but it is subjective, requires a trained radiologist, is not always reported, and s limited in its ability to assess small, but potentially meaningful changes in density in response t therapies. We and others have developed promising automated mammographic measures on full field digital mammography (FFDM), including area, volumetric and variation density measures, and shown their associations with breast cancer. To date, studies have not compared the performance of automated density measures or their combination on FFDM images from the same women, to inform the best measure(s) for use in the clinical setting. Since over 85% of mammography in the US is FFDM, density measures need to be developed and examined in the FFDM environment to translate for use in today's clinical care. We propose to examine and compare the association of mammographic measures from FFDM with breast cancer and evaluate their ability to detect changes in response to menopause and hormone therapies among women ages 35-75 receiving FFDM within the Mayo Clinic and San Francisco Mammography Registry breast screening practices between 2006-2015. Specifically, we propose 1) To retrieve serial, digital mammograms prior to diagnosis (or corresponding date for controls), BI-RADS density and covariates on a large nested case-control study of 2800 incident breast cancers and 5600 matched controls, and to estimate automated area, volumetric and variation density measures on all images; 2) To examine the association of breast density measures from both the earliest and multiple subsequent mammograms with breast cancer and to assess whether these associations differ by age, invasive vs. in situ breast cancer and ER, PR and HER-2 defined subtypes; and 3) To estimate menopause- and therapy-related changes in density measures on FFDM from 500 healthy perimenopausal women, 1000 peri or postmenopausal women initiating hormone therapy, and 1000 breast cancer cases initiating endocrine therapy. This protocol will answer: 1) Which automated density measure or combination of measures are most clinically useful in the FFDM environment as a risk factor for breast cancer and for detecting changes in density in response to therapy? 2) Do density measures perform similarly in younger vs. older women and for specific types of breast cancer? And 3) Do multiple measures of breast density improve risk associations compared to a single measure? This proposal will impact breast density assessment across the US, allowing for standardization in clinical practice and opportunities to integrate density measures into individualized risk assessment and screening.



Publications

Investigating the added value of incorporatingmammographic density to an integrated breastcancer risk model with questionnaire-based riskfactors and polygenic risk score.
Authors: Mulder C.V. , Yang X. , Jee Y.H. , Scott C.G. , Gao C. , Cao Y. , Hurson A.N. , Eriksson M. , Vachon C.M. , Hall P. , et al. .
Source: Research Square, 2024-12-19 00:00:00.0; , .
EPub date: 2024-12-19 00:00:00.0.
PMID: 39764121
Related Citations

Germline copy number variants and endometrial cancer risk.
Authors: Stylianou C.E. , Wiggins G.A.R. , Lau V.L. , Dennis J. , Shelling A.N. , Wilson M. , Sykes P. , Amant F. , Annibali D. , De Wispelaere W. , et al. .
Source: Human Genetics, 2024 Dec; 143(12), p. 1481-1498.
EPub date: 2024-11-04 00:00:00.0.
PMID: 39495297
Related Citations

Volumetric Breast Density Estimation From Three-Dimensional Reconstructed Digital Breast Tomosynthesis Images Using Deep Learning.
Authors: Ahluwalia V.S. , Doiphode N. , Mankowski W.C. , Cohen E.A. , Pati S. , Pantalone L. , Bakas S. , Brooks A. , Vachon C.M. , Conant E.F. , et al. .
Source: Jco Clinical Cancer Informatics, 2024 Dec; 8, p. e2400103.
EPub date: 2024-12-09 00:00:00.0.
PMID: 39652797
Related Citations

A genome-wide gene-environment interaction study of breast cancer risk for women of European ancestry.
Authors: Middha P. , Wang X. , Behrens S. , Bolla M.K. , Wang Q. , Dennis J. , Michailidou K. , Ahearn T.U. , Andrulis I.L. , Anton-Culver H. , et al. .
Source: Breast Cancer Research : Bcr, 2023-08-09 00:00:00.0; 25(1), p. 93.
EPub date: 2023-08-09 00:00:00.0.
PMID: 37559094
Related Citations

Association of the CHEK2 c.1100delC variant, radiotherapy, and systemic treatment with contralateral breast cancer risk and breast cancer-specific survival.
Authors: Morra A. , Schreurs M.A.C. , Andrulis I.L. , Anton-Culver H. , Augustinsson A. , Beckmann M.W. , Behrens S. , Bojesen S.E. , Bolla M.K. , Brauch H. , et al. .
Source: Cancer Medicine, 2023-07-03 00:00:00.0; , .
EPub date: 2023-07-03 00:00:00.0.
PMID: 37401034
Related Citations

Impact of Artificial Intelligence System and Volumetric Density on Risk Prediction of Interval, Screen-Detected, and Advanced Breast Cancer.
Authors: Vachon C.M. , Scott C.G. , Norman A.D. , Khanani S.A. , Jensen M.R. , Hruska C.B. , Brandt K.R. , Winham S.J. , Kerlikowske K. .
Source: Journal Of Clinical Oncology : Official Journal Of The American Society Of Clinical Oncology, 2023-04-27 00:00:00.0; , p. JCO2201153.
EPub date: 2023-04-27 00:00:00.0.
PMID: 37104728
Related Citations

Associations of a Breast Cancer Polygenic Risk Score With Tumor Characteristics and Survival.
Authors: Lopes Cardozo J.M.N. , Andrulis I.L. , Bojesen S.E. , Dörk T. , Eccles D.M. , Fasching P.A. , Hooning M.J. , Keeman R. , Nevanlinna H. , Rutgers E.J.T. , et al. .
Source: Journal Of Clinical Oncology : Official Journal Of The American Society Of Clinical Oncology, 2023-04-01 00:00:00.0; 41(10), p. 1849-1863.
EPub date: 2023-01-23 00:00:00.0.
PMID: 36689693
Related Citations

Association of the CHEK2 c.1100delC variant, radiotherapy, and systemic treatment with contralateral breast cancer risk and breast cancer-specific survival.
Authors: Morra A. , Schreurs M.A.C. , Andrulis I.L. , Anton-Culver H. , Augustinsson A. , Beckmann M.W. , Behrens S. , Bojesen S.E. , Bolla M.K. , Brauch H. , et al. .
Source: Research Square, 2023-02-13 00:00:00.0; , .
EPub date: 2023-02-13 00:00:00.0.
PMID: 36824750
Related Citations

A likelihood ratio approach for utilizing case-control data in the clinical classification of rare sequence variants: application to BRCA1 and BRCA2.
Authors: Zanti M. , O'Mahony D.G. , Parsons M.T. , Li H. , Dennis J. , Aittomäkkiki K. , Andrulis I.L. , Anton-Culver H. , Aronson K.J. , Augustinsson A. , et al. .
Source: Human Mutation, 2023; 2023, .
EPub date: 2023-09-14 00:00:00.0.
PMID: 38725546
Related Citations

Distinct Reproductive Risk Profiles for Intrinsic-Like Breast Cancer Subtypes: Pooled Analysis of Population-Based Studies.
Authors: Jung A.Y. , Ahearn T.U. , Behrens S. , Middha P. , Bolla M.K. , Wang Q. , Arndt V. , Aronson K.J. , Augustinsson A. , Beane Freeman L.E. , et al. .
Source: Journal Of The National Cancer Institute, 2022-12-08 00:00:00.0; 114(12), p. 1706-1719.
PMID: 35723569
Related Citations

Physical activity, sedentary time and breast cancer risk: a Mendelian randomisation study.
Authors: Dixon-Suen S.C. , Lewis S.J. , Martin R.M. , English D.R. , Boyle T. , Giles G.G. , Michailidou K. , Bolla M.K. , Wang Q. , Dennis J. , et al. .
Source: British Journal Of Sports Medicine, 2022 Oct; 56(20), p. 1157-1170.
EPub date: 2022-09-06 00:00:00.0.
PMID: 36328784
Related Citations

The association of age at menarche and adult height with mammographic density in the International Consortium of Mammographic Density.
Authors: Ward S.V. , Burton A. , Tamimi R.M. , Pereira A. , Garmendia M.L. , Pollan M. , Boyd N. , Dos-Santos-Silva I. , Maskarinec G. , Perez-Gomez B. , et al. .
Source: Breast Cancer Research : Bcr, 2022-07-14 00:00:00.0; 24(1), p. 49.
EPub date: 2022-07-14 00:00:00.0.
PMID: 35836268
Related Citations

Artificial intelligence in mammographic phenotyping of breast cancer risk: a narrative review.
Authors: Gastounioti A. , Desai S. , Ahluwalia V.S. , Conant E.F. , Kontos D. .
Source: Breast Cancer Research : Bcr, 2022-02-20 00:00:00.0; 24(1), p. 14.
EPub date: 2022-02-20 00:00:00.0.
PMID: 35184757
Related Citations

Rare germline copy number variants (CNVs) and breast cancer risk.
Authors: Dennis J. , Tyrer J.P. , Walker L.C. , Michailidou K. , Dorling L. , Bolla M.K. , Wang Q. , Ahearn T.U. , Andrulis I.L. , Anton-Culver H. , et al. .
Source: Communications Biology, 2022-01-18 00:00:00.0; 5(1), p. 65.
EPub date: 2022-01-18 00:00:00.0.
PMID: 35042965
Related Citations

Deep Learning Predicts Interval and Screening-detected Cancer from Screening Mammograms: A Case-Case-Control Study in 6369 Women.
Authors: Zhu X. , Wolfgruber T.K. , Leong L. , Jensen M. , Scott C. , Winham S. , Sadowski P. , Vachon C. , Kerlikowske K. , Shepherd J.A. .
Source: Radiology, 2021 12; 301(3), p. 550-558.
EPub date: 2021-09-07 00:00:00.0.
PMID: 34491131
Related Citations

Fully Automated Volumetric Breast Density Estimation from Digital Breast Tomosynthesis.
Authors: Gastounioti A. , Pantalone L. , Scott C.G. , Cohen E.A. , Wu F.F. , Winham S.J. , Jensen M.R. , Maidment A.D.A. , Vachon C.M. , Conant E.F. , et al. .
Source: Radiology, 2021 Dec; 301(3), p. 561-568.
EPub date: 2021-09-14 00:00:00.0.
PMID: 34519572
Related Citations

Germline variants and breast cancer survival in patients with distant metastases at primary breast cancer diagnosis.
Authors: Escala-Garcia M. , Canisius S. , Keeman R. , Beesley J. , Anton-Culver H. , Arndt V. , Augustinsson A. , Becher H. , Beckmann M.W. , Behrens S. , et al. .
Source: Scientific Reports, 2021-10-05 00:00:00.0; 11(1), p. 19787.
EPub date: 2021-10-05 00:00:00.0.
PMID: 34611289
Related Citations

Mammographic Variation Measures, Breast Density, and Breast Cancer Risk.
Authors: Heine J. , Fowler E. , Scott C.G. , Jensen M.R. , Shepherd J. , Hruska C.B. , Winham S.J. , Brandt K.R. , Wu F.F. , Norman A.D. , et al. .
Source: Ajr. American Journal Of Roentgenology, 2021 08; 217(2), p. 326-335.
EPub date: 2021-06-23 00:00:00.0.
PMID: 34161135
Related Citations

Simplified Breast Risk Tool Integrating Questionnaire Risk Factors, Mammographic Density, and Polygenic Risk Score: Development and Validation.
Authors: Rosner B. , Tamimi R.M. , Kraft P. , Gao C. , Mu Y. , Scott C. , Winham S.J. , Vachon C.M. , Colditz G.A. .
Source: Cancer Epidemiology, Biomarkers & Prevention : A Publication Of The American Association For Cancer Research, Cosponsored By The American Society Of Preventive Oncology, 2021 Apr; 30(4), p. 600-607.
EPub date: 2020-12-04 00:00:00.0.
PMID: 33277321
Related Citations

Association of Daily Alcohol Intake, Volumetric Breast Density, and Breast Cancer Risk.
Authors: Rustagi A.S. , Scott C.G. , Winham S.J. , Brandt K.R. , Norman A.D. , Jensen M.R. , Shepherd J.A. , Hruska C. , Heine J.J. , Pankratz V.S. , et al. .
Source: Jnci Cancer Spectrum, 2021 Apr; 5(2), p. pkaa124.
EPub date: 2021-02-04 00:00:00.0.
PMID: 33733051
Related Citations

A case-only study to identify genetic modifiers of breast cancer risk for BRCA1/BRCA2 mutation carriers.
Authors: Coignard J. , Lush M. , Beesley J. , O'Mara T.A. , Dennis J. , Tyrer J.P. , Barnes D.R. , McGuffog L. , Leslie G. , Bolla M.K. , et al. .
Source: Nature Communications, 2021-02-17 00:00:00.0; 12(1), p. 1078.
EPub date: 2021-02-17 00:00:00.0.
PMID: 33597508
Related Citations

Breast cancer risk factors and survival by tumor subtype: pooled analyses from the Breast Cancer Association Consortium.
Authors: Morra A. , Jung A.Y. , Behrens S. , Keeman R. , Ahearn T.U. , Anton-Cluver H. , Arndt V. , Augustinsson A. , Auvinen P.K. , Beane Freeman L.E. , et al. .
Source: Cancer Epidemiology, Biomarkers & Prevention : A Publication Of The American Association For Cancer Research, Cosponsored By The American Society Of Preventive Oncology, 2021-01-26 00:00:00.0; , .
EPub date: 2021-01-26 00:00:00.0.
PMID: 33500318
Related Citations

Association of mammographic density measures and breast cancer "intrinsic" molecular subtypes.
Authors: Kleinstern G. , Scott C.G. , Tamimi R.M. , Jensen M.R. , Pankratz V.S. , Bertrand K.A. , Norman A.D. , Visscher D.W. , Couch F.J. , Brandt K. , et al. .
Source: Breast Cancer Research And Treatment, 2021-01-04 00:00:00.0; , .
EPub date: 2021-01-04 00:00:00.0.
PMID: 33392844
Related Citations

Transcriptome-wide association study of breast cancer risk by estrogen-receptor status.
Authors: Feng H. , Gusev A. , Pasaniuc B. , Wu L. , Long J. , Abu-Full Z. , Aittomäki K. , Andrulis I.L. , Anton-Culver H. , Antoniou A.C. , et al. .
Source: Genetic Epidemiology, 2020 07; 44(5), p. 442-468.
EPub date: 2020-03-01 00:00:00.0.
PMID: 32115800
Related Citations

Evaluation of LIBRA Software for Fully Automated Mammographic Density Assessment in Breast Cancer Risk Prediction.
Authors: Gastounioti A. , Kasi C.D. , Scott C.G. , Brandt K.R. , Jensen M.R. , Hruska C.B. , Wu F.F. , Norman A.D. , Conant E.F. , Winham S.J. , et al. .
Source: Radiology, 2020 Jul; 296(1), p. 24-31.
EPub date: 2020-05-12 00:00:00.0.
PMID: 32396041
Related Citations

Germline HOXB13 mutations p.G84E and p.R217C do not confer an increased breast cancer risk.
Authors: Liu J. , Prager-van der Smissen W.J.C. , Collée J.M. , Bolla M.K. , Wang Q. , Michailidou K. , Dennis J. , Ahearn T.U. , Aittomäki K. , Ambrosone C.B. , et al. .
Source: Scientific Reports, 2020-06-16 00:00:00.0; 10(1), p. 9688.
EPub date: 2020-06-16 00:00:00.0.
PMID: 32546843
Related Citations

Assessment of interactions between 205 breast cancer susceptibility loci and 13 established risk factors in relation to breast cancer risk, in the Breast Cancer Association Consortium.
Authors: Kapoor P.M. , Lindström S. , Behrens S. , Wang X. , Michailidou K. , Bolla M.K. , Wang Q. , Dennis J. , Dunning A.M. , Pharoah P.D.P. , et al. .
Source: International Journal Of Epidemiology, 2020-02-01 00:00:00.0; 49(1), p. 216-232.
PMID: 31605532
Related Citations

A network analysis to identify mediators of germline-driven differences in breast cancer prognosis.
Authors: Escala-Garcia M. , Abraham J. , Andrulis I.L. , Anton-Culver H. , Arndt V. , Ashworth A. , Auer P.L. , Auvinen P. , Beckmann M.W. , Beesley J. , et al. .
Source: Nature Communications, 2020-01-16 00:00:00.0; 11(1), p. 312.
EPub date: 2020-01-16 00:00:00.0.
PMID: 31949161
Related Citations

Automated volumetric breast density measures: differential change between breasts in women with and without breast cancer.
Authors: Brandt K.R. , Scott C.G. , Miglioretti D.L. , Jensen M.R. , Mahmoudzadeh A.P. , Hruska C. , Ma L. , Wu F.F. , Cummings S.R. , Norman A.D. , et al. .
Source: Breast Cancer Research : Bcr, 2019-10-28 00:00:00.0; 21(1), p. 118.
EPub date: 2019-10-28 00:00:00.0.
PMID: 31660981
Related Citations

Two truncating variants in FANCC and breast cancer risk.
Authors: Dörk T. , Peterlongo P. , Mannermaa A. , Bolla M.K. , Wang Q. , Dennis J. , Ahearn T. , Andrulis I.L. , Anton-Culver H. , Arndt V. , et al. .
Source: Scientific Reports, 2019-08-29 00:00:00.0; 9(1), p. 12524.
EPub date: 2019-08-29 00:00:00.0.
PMID: 31467304
Related Citations

Longitudinal changes in volumetric breast density in healthy women across the menopausal transition.
Authors: Engmann N.J. , Scott C. , Jensen M.R. , Winham S.J. , Ma L. , Brandt K.R. , Mahmoudzadeh A. , Whaley D.H. , Hruska C.B. , Wu F.F. , et al. .
Source: Cancer Epidemiology, Biomarkers & Prevention : A Publication Of The American Association For Cancer Research, Cosponsored By The American Society Of Preventive Oncology, 2019-06-11 00:00:00.0; , .
EPub date: 2019-06-11 00:00:00.0.
PMID: 31186265
Related Citations

Combined effect of volumetric breast density and body mass index on breast cancer risk.
Authors: Engmann N.J. , Scott C.G. , Jensen M.R. , Winham S. , Miglioretti D.L. , Ma L. , Brandt K. , Mahmoudzadeh A. , Whaley D.H. , Hruska C. , et al. .
Source: Breast Cancer Research And Treatment, 2019-05-25 00:00:00.0; , .
EPub date: 2019-05-25 00:00:00.0.
PMID: 31129803
Related Citations

Genome-wide association study of germline variants and breast cancer-specific mortality.
Authors: Escala-Garcia M. , Guo Q. , Dörk T. , Canisius S. , Keeman R. , Dennis J. , Beesley J. , Lecarpentier J. , Bolla M.K. , Wang Q. , et al. .
Source: British Journal Of Cancer, 2019 Mar; 120(6), p. 647-657.
EPub date: 2019-02-21 00:00:00.0.
PMID: 30787463
Related Citations

Shared heritability and functional enrichment across six solid cancers.
Authors: Jiang X. , Finucane H.K. , Schumacher F.R. , Schmit S.L. , Tyrer J.P. , Han Y. , Michailidou K. , Lesseur C. , Kuchenbaecker K.B. , Dennis J. , et al. .
Source: Nature Communications, 2019-01-25 00:00:00.0; 10(1), p. 431.
EPub date: 2019-01-25 00:00:00.0.
PMID: 30683880
Related Citations

The FANCM:p.Arg658* truncating variant is associated with risk of triple-negative breast cancer.
Authors: Figlioli G. , Bogliolo M. , Catucci I. , Caleca L. , Lasheras S.V. , Pujol R. , Kiiski J.I. , Muranen T.A. , Barnes D.R. , Dennis J. , et al. .
Source: Npj Breast Cancer, 2019; 5, p. 38.
EPub date: 2019-11-01 00:00:00.0.
PMID: 31700994
Related Citations

Incorporating Breast Anatomy in Computational Phenotyping of Mammographic Parenchymal Patterns for Breast Cancer Risk Estimation.
Authors: Gastounioti A. , Hsieh M.K. , Cohen E. , Pantalone L. , Conant E.F. , Kontos D. .
Source: Scientific Reports, 2018-11-30 00:00:00.0; 8(1), p. 17489.
EPub date: 2018-11-30 00:00:00.0.
PMID: 30504841
Related Citations

Automated and Clinical Breast Imaging Reporting and Data System Density Measures Predict Risk for Screen-Detected and Interval Cancers: A Case-Control Study.
Authors: Kerlikowske K. , Scott C.G. , Mahmoudzadeh A.P. , Ma L. , Winham S. , Jensen M.R. , Wu F.F. , Malkov S. , Pankratz V.S. , Cummings S.R. , et al. .
Source: Annals Of Internal Medicine, 2018-06-05 00:00:00.0; 168(11), p. 757-765.
EPub date: 2018-05-01 00:00:00.0.
PMID: 29710124
Related Citations

Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer.
Authors: Milne R.L. , Kuchenbaecker K.B. , Michailidou K. , Beesley J. , Kar S. , Lindström S. , Hui S. , Lemaçon A. , Soucy P. , Dennis J. , et al. .
Source: Nature Genetics, 2017 Dec; 49(12), p. 1767-1778.
EPub date: 2017-10-23 00:00:00.0.
PMID: 29058716
Related Citations

Combining quantitative and qualitative breast density measures to assess breast cancer risk.
Authors: Kerlikowske K. , Ma L. , Scott C.G. , Mahmoudzadeh A.P. , Jensen M.R. , Sprague B.L. , Henderson L.M. , Pankratz V.S. , Cummings S.R. , Miglioretti D.L. , et al. .
Source: Breast Cancer Research : Bcr, 2017-08-22 00:00:00.0; 19(1), p. 97.
EPub date: 2017-08-22 00:00:00.0.
PMID: 28830497
Related Citations

Longitudinal Changes In Volumetric Breast Density With Tamoxifen And Aromatase Inhibitors
Authors: Engmann N.J. , Scott C. , Jensen M.R. , Ma L. , Brandt K.R. , Mahmoudzadeh A. , Malkov S. , Whaley D.H. , Hruska C. , Wu F.F. , et al. .
Source: Cancer Epidemiology, Biomarkers & Prevention : A Publication Of The American Association For Cancer Research, Cosponsored By The American Society Of Preventive Oncology, 2017-02-01 00:00:00.0; , .
PMID: 28148596
Related Citations

Mammographic density assessed on paired raw and processed digital images and on paired screen-film and digital images across three mammography systems.
Authors: Burton A. , Byrnes G. , Stone J. , Tamimi R.M. , Heine J. , Vachon C. , Ozmen V. , Pereira A. , Garmendia M.L. , Scott C. , et al. .
Source: Breast Cancer Research : Bcr, 2016-12-19 00:00:00.0; 18(1), p. 130.
EPub date: 2016-12-19 00:00:00.0.
PMID: 27993168
Related Citations

Breast Density: More Than Meets the Eye.
Authors: Kerlikowske K. , Vachon C.M. .
Source: Journal Of The National Cancer Institute, 2016 Oct; 108(10), .
PMID: 27130894
Related Citations

Comparison of Clinical and Automated Breast Density Measurements: Implications for Risk Prediction and Supplemental Screening.
Authors: Brandt K.R. , Scott C.G. , Ma L. , Mahmoudzadeh A.P. , Jensen M.R. , Whaley D.H. , Wu F.F. , Malkov S. , Hruska C.B. , Norman A.D. , et al. .
Source: Radiology, 2016 Jun; 279(3), p. 710-9.
PMID: 26694052
Related Citations

International Consortium on Mammographic Density: Methodology and population diversity captured across 22 countries.
Authors: McCormack V.A. , Burton A. , dos-Santos-Silva I. , Hipwell J.H. , Dickens C. , Salem D. , Kamal R. , Hartman M. , Lee C.P. , Chia K.S. , et al. .
Source: Cancer Epidemiology, 2016 Feb; 40, p. 141-51.
PMID: 26724463
Related Citations

A comprehensive evaluation of interaction between genetic variants and use of menopausal hormone therapy on mammographic density.
Authors: Rudolph A. , Fasching P.A. , Behrens S. , Eilber U. , Bolla M.K. , Wang Q. , Thompson D. , Czene K. , Brand J.S. , Li J. , et al. .
Source: Breast Cancer Research : Bcr, 2015-08-16 00:00:00.0; 17, p. 110.
EPub date: 2015-08-16 00:00:00.0.
PMID: 26275715
Related Citations

Automated Percentage Of Breast Density Measurements For Full-field Digital Mammography Applications
Authors: Fowler E.E. , Vachon C.M. , Scott C.G. , Sellers T.A. , Heine J.J. .
Source: Academic Radiology, 2014 Aug; 21(8), p. 958-70.
PMID: 25018067
Related Citations



Back to Top