Sylvia K. Plevritis, PhD
Academic Appointments
- Associate Professor, Radiology - Diagnostic Radiology
- Member, Bio-X
- Member, Stanford Cancer Institute
- Associate Professor (By courtesy), Management Science and Engineering - Management Sci Operations
Key Documents
Contact Information
- Academic Offices
Personal Information EmailAlternate Contact Maggie Bos Administrative Associate Email Tel Work 650-725-4936
Professional Overview
Administrative Appointments
- co-Section Chief, Information Sciences in Imaging at Stanford, Radiology (2009 - present)
Professional Education
| M.S.: | Stanford University, Health Services Research (1996) |
| PhD: | Stanford University, Electrical Engineering (1992) |
| B.E.: | The Cooper Union, Electrical Engineering (1985) |
Internet Links
Scientific Focus
Current Research Interests
My research program focuses on computational modeling of cancer biology and cancer outcomes. My laboratory develops stochastic models of the natural history of cancer based on clinical research data. We estimate population-level outcomes under differing screening and treatment interventions. We also analyze genomic and proteomic cancer data in order to identify molecular networks that are perturbed in cancer initiation and progression and relate these perturbations to patient outcomes.
Publications
- A simulation model to predict the impact of prophylactic surgery and screening on the life expectancy of BRCA1 and BRCA2 mutation carriers. Cancer Epidemiol Biomarkers Prev. 2012; (7): 1066-77
- Comparing the benefits of screening for breast cancer and lung cancer using a novel natural history model. Cancer Causes Control. 2012; (1): 175-85
- CytoSPADE: high-performance analysis and visualization of high-dimensional cytometry data. Bioinformatics. 2012; (18): 2400-1
- Non-small cell lung cancer: identifying prognostic imaging biomarkers by leveraging public gene expression microarray data--methods and preliminary results. Radiology. 2012; (2): 387-96
- Online tool to guide decisions for BRCA1/2 mutation carriers. J Clin Oncol. 2012; (5): 497-506
- Prognostic PET 18F-FDG uptake imaging features are associated with major oncogenomic alterations in patients with resected non-small cell lung cancer. Cancer Res. 2012; (15): 3725-34
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