SYLVIA KATINA PLEVRITIS

Summary

Affiliation: Stanford University
Country: USA

Publications

  1. doi request reprint A simulation model to predict the impact of prophylactic surgery and screening on the life expectancy of BRCA1 and BRCA2 mutation carriers
    Bronislava M Sigal
    Department of Radiology, Stanford University School of Medicine, Stanford, CA 94305, USA
    Cancer Epidemiol Biomarkers Prev 21:1066-77. 2012
  2. pmc Online tool to guide decisions for BRCA1/2 mutation carriers
    Allison W Kurian
    Stanford University School of Medicine, Stanford, CA, USA
    J Clin Oncol 30:497-506. 2012
  3. pmc Boolean implication networks derived from large scale, whole genome microarray datasets
    Debashis Sahoo
    Department of Computer Science, Stanford University, Stanford, CA 94305, USA
    Genome Biol 9:R157. 2008
  4. ncbi request reprint A mathematical algorithm that computes breast cancer sizes and doubling times detected by screening
    S K Plevritis
    Department of Radiology, Stanford University School of Medicine, Lucas Center, Room P267, Stanford, CA 94305 5488, USA
    Math Biosci 171:155-78. 2001
  5. ncbi request reprint Cost-effectiveness of screening BRCA1/2 mutation carriers with breast magnetic resonance imaging
    Sylvia K Plevritis
    Department of Radiology, Division of Oncology, Center for Primary Care and Outcomes Research, Stanford University School of Medicine, Stanford, Calif 94305, USA
    JAMA 295:2374-84. 2006
  6. ncbi request reprint A natural history model of stage progression applied to breast cancer
    Sylvia K Plevritis
    Department of Radiology, Stanford University, CA 94305 5488, USA
    Stat Med 26:581-95. 2007
  7. ncbi request reprint Ethical issues in contrast-enhanced magnetic resonance imaging screening for breast cancer
    Sylvia K Plevritis
    Department of Radiology, Stanford University, Stanford, California, USA
    Top Magn Reson Imaging 13:79-84. 2002
  8. ncbi request reprint Breast magnetic resonance image screening and ductal lavage in women at high genetic risk for breast carcinoma
    Anne Renee Hartman
    Department of Medicine, Stanford University School of Medicine, Stanford, California 94305 5458, USA
    Cancer 100:479-89. 2004
  9. doi request reprint Genomic and proteomic analysis reveals a threshold level of MYC required for tumor maintenance
    Catherine M Shachaf
    Department of Medicine and Pathology, Division of Medical Oncology, Stanford University School of Medicine, Stanford University, Stanford, California 94305, USA
    Cancer Res 68:5132-42. 2008
  10. pmc MiDReG: a method of mining developmentally regulated genes using Boolean implications
    Debashis Sahoo
    Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA
    Proc Natl Acad Sci U S A 107:5732-7. 2010

Research Grants

  1. Computational Modeling of Cancer Biology
    Sylvia Plevritis; Fiscal Year: 2007
  2. Breast Cancer Trend Analysis Using Stochastic Stimulati*
    Sylvia Plevritis; Fiscal Year: 2007
  3. Cost Effectiveness Analysis of Lung Cancer Screening
    Sylvia Plevritis; Fiscal Year: 2006
  4. COST EFFECTIVENESS ANALYSIS OF BREAST CANCER SCREENING
    Sylvia Plevritis; Fiscal Year: 2001

Collaborators

Detail Information

Publications26

  1. doi request reprint A simulation model to predict the impact of prophylactic surgery and screening on the life expectancy of BRCA1 and BRCA2 mutation carriers
    Bronislava M Sigal
    Department of Radiology, Stanford University School of Medicine, Stanford, CA 94305, USA
    Cancer Epidemiol Biomarkers Prev 21:1066-77. 2012
    ..We estimate the impact of different risk-reducing options at various ages on life expectancy...
  2. pmc Online tool to guide decisions for BRCA1/2 mutation carriers
    Allison W Kurian
    Stanford University School of Medicine, Stanford, CA, USA
    J Clin Oncol 30:497-506. 2012
    ..A clinical decision tool could guide these complex choices...
  3. pmc Boolean implication networks derived from large scale, whole genome microarray datasets
    Debashis Sahoo
    Department of Computer Science, Stanford University, Stanford, CA 94305, USA
    Genome Biol 9:R157. 2008
    ..These relationships capture gender differences, tissue differences, development, and differentiation. New relationships are discovered that are preserved across all three species...
  4. ncbi request reprint A mathematical algorithm that computes breast cancer sizes and doubling times detected by screening
    S K Plevritis
    Department of Radiology, Stanford University School of Medicine, Lucas Center, Room P267, Stanford, CA 94305 5488, USA
    Math Biosci 171:155-78. 2001
    ..The algorithm also computes the sensitivity and leadtime distribution. It allows for arbitrary age groups, detection thresholds and screening intervals and may contribute to the design of future screening trials...
  5. ncbi request reprint Cost-effectiveness of screening BRCA1/2 mutation carriers with breast magnetic resonance imaging
    Sylvia K Plevritis
    Department of Radiology, Division of Oncology, Center for Primary Care and Outcomes Research, Stanford University School of Medicine, Stanford, Calif 94305, USA
    JAMA 295:2374-84. 2006
    ..Screening with contrast-enhanced breast magnetic resonance imaging (MRI) detects cancer earlier but increases costs and results in more false-positive scans...
  6. ncbi request reprint A natural history model of stage progression applied to breast cancer
    Sylvia K Plevritis
    Department of Radiology, Stanford University, CA 94305 5488, USA
    Stat Med 26:581-95. 2007
    ..We demonstrate that, in the even absence of screening mammography, symptom-prompted detection has a large effect on reducing the occurrence of distant staged disease at initial diagnosis...
  7. ncbi request reprint Ethical issues in contrast-enhanced magnetic resonance imaging screening for breast cancer
    Sylvia K Plevritis
    Department of Radiology, Stanford University, Stanford, California, USA
    Top Magn Reson Imaging 13:79-84. 2002
    ....
  8. ncbi request reprint Breast magnetic resonance image screening and ductal lavage in women at high genetic risk for breast carcinoma
    Anne Renee Hartman
    Department of Medicine, Stanford University School of Medicine, Stanford, California 94305 5458, USA
    Cancer 100:479-89. 2004
    ....
  9. doi request reprint Genomic and proteomic analysis reveals a threshold level of MYC required for tumor maintenance
    Catherine M Shachaf
    Department of Medicine and Pathology, Division of Medical Oncology, Stanford University School of Medicine, Stanford University, Stanford, California 94305, USA
    Cancer Res 68:5132-42. 2008
    ..Thus, at the MYC threshold, there is a loss of its ability to maintain tumorigenesis, with associated shifts in gene and protein expression that reestablish cell cycle checkpoints, halt protein translation, and promote apoptosis...
  10. pmc MiDReG: a method of mining developmentally regulated genes using Boolean implications
    Debashis Sahoo
    Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA
    Proc Natl Acad Sci U S A 107:5732-7. 2010
    ..These data demonstrate the power of MiDReG in predicting functionally important intermediate genes in a given developmental pathway that is defined by a mutually exclusive gene expression pattern...
  11. pmc Survival analysis of cancer risk reduction strategies for BRCA1/2 mutation carriers
    Allison W Kurian
    Departments of Medicine, Health Research and Policy, and Radiology, Stanford University School of Medicine, Stanford, CA, USA
    J Clin Oncol 28:222-31. 2010
    ..We used decision analysis to simulate risk-reducing strategies in BRCA1/2 mutation carriers and to compare resulting survival probability and causes of death...
  12. pmc Extracting binary signals from microarray time-course data
    Debashis Sahoo
    Department of Electrical Engineering, Stanford University, USA
    Nucleic Acids Res 35:3705-12. 2007
    ..On microarray data for budding yeast, it is shown that the groups of genes that change in similar ways and at similar times have significant and relevant Gene Ontology annotations...
  13. ncbi request reprint Simulation-based parameter estimation for complex models: a breast cancer natural history modelling illustration
    Yen Lin Chia
    Management Science and Engineering, Terman Engineering Center, Stanford University, Stanford, CA 94305 4026, USA
    Stat Methods Med Res 13:507-24. 2004
    ..The analysis shows that simulation provides a straightforward means of computing such estimators for models of substantial complexity...
  14. pmc Reducing the computational complexity of information theoretic approaches for reconstructing gene regulatory networks
    Peng Qiu
    Department of Radiology, Stanford University, Stanford, California 94305, USA
    J Comput Biol 17:169-76. 2010
    ..The proposed method can be used with any method that relies on the mutual information to reconstruct networks...
  15. doi request reprint Fast calculation of pairwise mutual information for gene regulatory network reconstruction
    Peng Qiu
    Department of Radiology, Stanford University, Stanford, CA, United States
    Comput Methods Programs Biomed 94:177-80. 2009
    ..6 hours. The increased efficiency of our algorithm improves the feasibility of applying mutual information based approaches for reconstructing large regulatory networks...
  16. pmc A simulation model investigating the impact of tumor volume doubling time and mammographic tumor detectability on screening outcomes in women aged 40-49 years
    Stephanie L Bailey
    Department of Radiology, School of Medicine, Stanford University, 1201 Welch Rd, Stanford, CA 94305, USA
    J Natl Cancer Inst 102:1263-71. 2010
    ..Compared with women aged 50-69 years, the lower sensitivity of mammographic screening in women aged 40-49 years is largely attributed to the lower mammographic tumor detectability and faster tumor growth in the younger women...
  17. pmc Ly6d marks the earliest stage of B-cell specification and identifies the branchpoint between B-cell and T-cell development
    Matthew A Inlay
    Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, California 94305, USA
    Genes Dev 23:2376-81. 2009
    ....
  18. pmc A pluripotency signature predicts histologic transformation and influences survival in follicular lymphoma patients
    Andrew J Gentles
    Department of Radiology, Stanford University School of Medicine, Lucas Center for MR Spectroscopy and Imaging, Stanford, CA 94305, USA
    Blood 114:3158-66. 2009
    ..Together, these findings suggest a central role for an ESC-like signature in the mechanism of HT and provide new clues for potential therapeutic targets...
  19. pmc Simultaneous class discovery and classification of microarray data using spectral analysis
    Peng Qiu
    Department of Radiology, Stanford University, Stanford, California 94305, USA
    J Comput Biol 16:935-44. 2009
    ..We demonstrate the effectiveness of SPACC for class discovery and classification on microarray data of lymphomas and leukemias. SPACC software is available at http://icbp.stanford.edu/software/SPACC/...
  20. ncbi request reprint Ductal lavage of fluid-yielding and non-fluid-yielding ducts in BRCA1 and BRCA2 mutation carriers and other women at high inherited breast cancer risk
    Allison W Kurian
    Division of Oncology, Department of Medicine, Stanford University School of Medicine, 875 Blake Wilbur Drive, Stanford, CA 94305 5820
    Cancer Epidemiol Biomarkers Prev 14:1082-9. 2005
    ..Most publications on ductal lavage for cell collection report cannulating fluid-yielding ducts only. We report lavage of fluid-yielding and non-fluid-yielding ducts in women at high inherited breast cancer risk...
  21. ncbi request reprint Opinions of women with high inherited breast cancer risk about prophylactic mastectomy: an initial evaluation from a screening trial including magnetic resonance imaging and ductal lavage
    Allison W Kurian
    Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305 5820, USA
    Health Expect 8:221-33. 2005
    ....
  22. ncbi request reprint Ductal pattern enhancement on magnetic resonance imaging of the breast due to ductal lavage
    Pejman Ghanouni
    Department of Radiology, Division of Oncology, Stanford University School of Medicine, Stanford, California 94305, USA
    Breast J 13:281-6. 2007
    ..Knowledge of the potential for breast MRI enhancement subsequent to DL, which can mimic the appearance of a pathologic lesion, is critical to the care of patients who undergo breast MRI and DL or other intraductal cannulation procedures...
  23. doi request reprint Modeling the transition of lung cancer from early to advanced stage
    Maksim A Pashkevich
    Department of Radiology, Stanford University School of Medicine, Stanford, CA 94305, USA
    Cancer Causes Control 20:1559-69. 2009
    ..8 times greater among patients with advanced stage disease compared to patients with early stage disease...
  24. doi request reprint Incidental extracardiac findings at coronary CT: clinical and economic impact
    Christoph I Lee
    Department of Radiology, Stanford University Medical Center, Stanford, CA 94305 5105, USA
    AJR Am J Roentgenol 194:1531-8. 2010
    ....
  25. doi request reprint Association of a leukemic stem cell gene expression signature with clinical outcomes in acute myeloid leukemia
    Andrew J Gentles
    Department of Radiology, Lucas Center for MR Spectroscopy and Imaging, School of Medicine, Stanford University, Palo Alto, CA 94305, USA
    JAMA 304:2706-15. 2010
    ..This model has significant implications for the development of novel therapies, but its clinical relevance has yet to be determined...
  26. ncbi request reprint Decision analysis and simulation modeling for evaluating diagnostic tests on the basis of patient outcomes
    Sylvia K Plevritis
    Department of Radiology, Stanford University, Stanford, CA 94305, USA
    AJR Am J Roentgenol 185:581-90. 2005

Research Grants10

  1. Computational Modeling of Cancer Biology
    Sylvia Plevritis; Fiscal Year: 2007
    ..By the end of the "Planning Grant" we fully expect a major expansion of our computational cancer biology program. ..
  2. Breast Cancer Trend Analysis Using Stochastic Stimulati*
    Sylvia Plevritis; Fiscal Year: 2007
    ..We will make our CISNET model available for broader public consumption and welcome pressing questions from policy makers during the course of our study. ..
  3. Cost Effectiveness Analysis of Lung Cancer Screening
    Sylvia Plevritis; Fiscal Year: 2006
    ..An incremental cost-effectiveness analysis will be used to identify dominant screening strategies in terms of target population risk, ages to start and stop screening, and screening interval. ..
  4. COST EFFECTIVENESS ANALYSIS OF BREAST CANCER SCREENING
    Sylvia Plevritis; Fiscal Year: 2001
    ..abstract_text> ..