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Despina Kontos, Ph.D.

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Associate Professor of Radiology
Department: Radiology

Contact information
University of Pennsylvania, Department of Radiology
Computational Biomarker Imaging Group (CBIG)
3700 Hamilton Walk - Richards Bldg. Rm D702
Philadelphia, PA 19104
Office: 215-746-4064
Lab: 215-746-4060
Graduate Group Affiliations
B.Eng. (Computer Engineering and Informatics )
University of Patras, Greece, 2000.
M.Sc. (Computer and Information Sciences )
Temple University, Philadelphia PA , 2003.
Ph.D. (Computer and Information Sciences )
Temple University, Philadelphia PA , 2006.
Post-Graduate Training
Research Fellow in Basic Radiologic Sciences, Radiological Society of North America (RSNA), Department of Radiology, University of Pennsylvania, Philadelphia PA, 2006-2008.
Fellow in Radiology-Physics and Breast Imaging, Susan G. Komen for the Cure Foundation, Department of Radiology, University of Pennsylvania, Philadelphia PA (Research Fellowship), 2008-2010.
Clinical Research Certificate, Center for Clinical Epidemiology and Biostatistics (CCEB), University of Pennsylvania, Philadelphia PA , 2009.
Total Leadership Program, an innovative program developed by Dr. Stewart Friedman at Wharton School of the University of Pennsylvania, offered as part of an NIH study to promote women’s success in Academic Medicine, Philadelphia PA, 2010.
Interpersonal Dynamics Training, Office of Organization Effectiveness on personality styles and group dynamics using the Myers-Briggs Type Indicator, Perelman School of Medicine, University of Pennsylvania, Philadelphia PA , 2014.
Research Mentor Training, a Course Series of six two-hour Case-Based training sessions designed to enhance specific skills in being an effective Mentor, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 2014.
High-Impact Cancer Research (HICR) Program in Cancer Biology and Therapeutics, Harvard Medical School, Boston MA, 2019.
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Description of Research Expertise

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.

Selected Publications

E.F. Conant, B.M. Keller, L. Pantalone, A. Gastounioti, E.S. McDonald, D. Kontos: Agreement between Breast Percent Density Estimation from Standard versus Synthetic Digital Mammograms: Results from a Large Screening Cohort Using Automated Measures. Radiology 283(3): 673-680, Jun 2017.

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 280(3): 693-700, Sept 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, Apr 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.

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: 03/09/2021
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