Faculty

Despina Kontos, Ph.D.

faculty photo
Matthew J. Wilson Associate Professor of Research Radiology II
Department: Radiology
Graduate Group Affiliations

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
Education:
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.
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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 cancer.

Description of Other Expertise

Research faculty wellness; Diversity, equity, and inclusion; Junior faculty development.

Selected Publications

Haji Maghsoudi O, Gastounioti A, Scott C, Pantalone L, Wu FF, Cohen EA, Winham S, Conant EF, Vachon C, Kontos D: Deep-LIBRA: An artificial-intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment. Medical Image Analysis 73(102138), Oct 2021.

Yousefi B, LaRiviere MJ, Cohen EA, Buckingham TH, Yee SS, Black TA, Chien AL, Noël P, Hwang WT, Katz SI, Aggarwal C, Thompson JC, Carpenter EL, Kontos D: Combining radiomic phenotypes of non-small cell lung cancer with liquid biopsy data may improve prediction of response to EGFR inhibitors. Scientific Reports 11(1): 9984, May 2021.

Chitalia RD, Rowland J, McDonald ES, Pantalone L, Cohen EA, Gastounioti A, Feldman M, Schnall M, Conant A, Kontos D: Imaging Phenotypes of Breast Cancer Heterogeneity in Preoperative Breast Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) Scans Predict 10-Year Recurrence. Clinical Cancer Research 26(4): 862-869, Feb 2020 Notes: doi: 10.1158/1078-0432.CCR-18-4067.

Chitalia R., Viswanath V., Pantel AR, Peterson LM, Gastounioti A., Cohen EA, Muzi M., Karp J., Mankoff DA., Kontos D.: Functional 4-D Clustering for characterizing intratumor heterogeneity in dynamic imaging: Evaluation in FDG PET as a prognostic biomarker for breast cancer. Eur J Nucl Med Mol Imaging Mar 2021 Notes: DOI: 10.1007/s00259-021-05324-0.

Gastounioti A, Kasi CD, Scott CG, Brandt KR, Jensen MR, Hruska CB, Wu FF, Norman AD, Conant EF, Winham SJ, Kerlikowske K, Kontos D, Vachon CM : Evaluation of LIBRA Software for Fully Automated Mammographic Density Assessment in Breast Cancer Risk Prediction Radiology 296(1): 24-31, July 2020 Notes: doi: 10.1148/radiol.2020192509.

Kontos D, Winham SJ, Oustimov A, Pantalone L, Hsieh MK, Gastounioti A, Whaley DH, Hruska CB, Kerlikowske K, Brandt K, Conant EF, Vachon CM: Radiomic Phenotypes of Mammographic Parenchymal Complexity: Toward Augmenting Breast Density in Breast Cancer Risk Assessment. Radiology 290(1): 41-49, Jan 2019 Notes: doi: 10.1148/radiol.2018180179.

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.

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.

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. 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.

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Last updated: 10/25/2021
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