Biomedical image analysis; Quantitative imaging biomarkers; Pattern recognition; Identification, characterization and validation of imaging biomarkers; Evaluation of genotype to phenotype associations via imaging; Integrated diagnostics; Risk prediction; Personalized screening, prognostication and treatment of breast cancer.
B.L. Sprague, E.F. Conant, T. Onega, M.P. Garcia, E.F. Beaber, S.D. Herschorn, C.D. Lehman, A.N.A. Tosteson, R. Lacson, M.D. Schnall, D. Kontos, J.S. Haas, D.L. Weaver, W.E. Barlow, on behalf of the PROSPR consortium: Variation in mammographic breast density assessments among radiologists in clinical practice: Findings from a multicenter observational study. Annals of Internal Medicine 165(7): 457-464, Oct 2016.
L. Chen, S. Ray, B.M. Keller, S. Pertuz, E.S. McDonald, E.F. Conant, D. Kontos: The Impact of Acquisition Dose on Quantitative Breast Density Estimation with Digital Mammography: Results from ACRIN PA 4006. Radiology Page: 151749. [Epub ahead of print] Mar 2016.
A.M. McCarthy, B.M. Keller, L.M. Pantalone, M-K. Hsieh, M. Synnestvedt, E.F. Conant, K. Armstrong, D. Kontos: Racial differences in quantitative measures of area and volumetric breast density. Journal of the National Cancer Institute (JNCI) 108(10): djw104 doi: 10.1093/jnci/djw104, May 2016.
S. Pertuz, E. McDonald, S.P. Weinstein, E.F. Conant, D. Kontos: Fully-automated quantitative estimation of volumetric breast density from digital breast tomosynthesis images: Preliminary results and comparison with digital mammography and magnetic resonance imaging. Radiology 279(1): 65-74, Apr 2016.
B.M. Keller, J. Chen, D. Daye, E.F. Conant, D. Kontos: Preliminary evaluation of the publicly available Laboratory for Breast Radiodensity Assessment (LIBRA) software tool: Comparison of fully-automated area and volumetric density measures in a case-control study with digital mammography. Breast Cancer Research 17(1): 117; doi: 10.1186/s13058-015-0626-8. Aug 2015.
S. Wu, S.P. Weinstein, M.J. Deleo, E.F. Conant, J. Chen, S.M. Domchek, D. Kontos : Quantitative assessment of Background Parenchymal Enhancement in breast MRI predicts response to Risk-Reducing Salpingo-Oophorectomy: Preliminary evaluation in a cohort of BRCA1/2 mutation carriers. Breast Cancer Research 17(67): doi: 10.1186/s13058-015-0577-0, May 2015.
AM. McCarthy, D. Kontos, M. Synnestvedt, K. Tan, D.F. Heitjan, M. Schnall, E.F. Conant: Screening Outcomes Following Implementation of Digital Breast Tomosynthesis in a General-Population Screening Program. Journal of the National Cancer Institute (JNCI) 106(11): dju316, Oct 2014.
A.B. Ashraf, D. Daye, S. Gavenonis, C. Mies, M. Feldman, M. Rosen, D. Kontos: Identification of intrinsic radio-phenotypes for breast cancer tumors: Preliminary associations with gene expression profiles. Radiology 272(2): 374-84, Aug 2014.
S.Wu, S.P. Weinstein, E.F. Conant, D. Kontos: Automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI using an atlas-aided fuzzy C-means method
Medical Physics 40(12): 122302, Dec 2013.
A. Ashraf, S. Gavenonis, D. Daye, C. Mies, M. Feldman, M.A. Rosen, and D. Kontos: A Multichannel Markov Random Field Framework for Tumor Segmentation with an Application to Classification of Gene Expression-based Breast Cancer Recurrence Risk. IEEE Transactions on Medical Imaging 32(4): 637-48, Apr 2013.
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Last updated: 03/22/2017
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