Sylvia Plevritis

Last updated
Sylvia Katina Plevritis
NationalityAmerican
Alma mater The Cooper Union
Stanford University
OccupationEngineer
Known forChair of Biomedical Data Science at Stanford University

Sylvia Katina Plevritis is Professor and Chair of the Department of Biomedical Data Science at Stanford University.

Contents

Education

Plevritis holds a Bachelor's in Electrical Engineering from The Cooper Union in 1985, an M.S. in Electrical Engineering from Stanford in 1986, a PhD in Electrical Engineering from Stanford in 1992, and an M.S. in Health Services Research in 1996. She was a NSF fellow for her pre-doctoral work and her dissertation was titled: "Resolution improvements for magnetic resonance spectroscopic images." After her post-doctoral research, she joined Stanford's Department of Radiology as an assistant professor. In 2013, she became a full professor in the department of Radiology and (by courtesy) Management, Science, and Engineering (MS&E). In 2019, she was appointed as professor and chair of Biomedical Data Science at Stanford University.

Research and career

Plevritis's primary research interests lie in population cancer screening outcomes and developing computational techniques to solve problems within the field of cancer systems biology. In 2006, she was the first to demonstrate the cost-effectiveness of adding MRI to mammography for screening BRCA1/2 mutation carriers. [1]

In 2000, Plevritis led the NCI Cancer Intervention and Surveillance Network (CISNET) to understand the effects of screening and adjuvant therapy on breast cancer trends by molecular subtype [2] [3]

In 2004, Plevritis became the Director of the Stanford Center for Cancer Systems Biology (CCSB) and the Director of the Cancer Systems Biology Scholars (CSBS), and the co-Section Chief of the Integrative Biomedical Imaging Informatics at Stanford (IBIIS). Her lab also focuses on developing computational tools to identify heterogeneous molecular features with the tumor microenvironment, such as SPADE, DRUGNEM, PhenoSTAMP, and REMI. [4] [5] [6]

Awards and honors

Plevritis received the Distinguished Investigator for the Academy of Radiology Research and Inaugural Award for Basic Scientist of the Year in the Stanford Radiology Department. She is a fellow of the American Institute for Medical and Biological Engineering (AIMBE).[ citation needed ]

Related Research Articles

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<span class="mw-page-title-main">Mammography</span> Process of using low-energy X-rays to examine the human breast for diagnosis and screening

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<span class="mw-page-title-main">BRCA1</span> Gene known for its role in breast cancer

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<span class="mw-page-title-main">Invasive carcinoma of no special type</span> Medical condition

Invasive carcinoma of no special type, invasive breast carcinoma of no special type (IBC-NST), invasive ductal carcinoma (IDC), infiltrating ductal carcinoma (IDC) or invasive ductal carcinoma, not otherwise specified (NOS) is a disease. For international audiences this article will use "invasive carcinoma NST" because it is the preferred term of the World Health Organization (WHO).

<span class="mw-page-title-main">Phyllodes tumor</span> Medical condition

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<span class="mw-page-title-main">Hereditary breast–ovarian cancer syndrome</span> Medical condition

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<i>BRCA</i> mutation Medical condition

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<span class="mw-page-title-main">Breast imaging</span>

In medicine, breast imaging is a sub-speciality of diagnostic radiology that involves imaging of the breasts for screening or diagnostic purposes. There are various methods of breast imaging using a variety of technologies as described in detail below. Traditional screening and diagnostic mammography uses x-ray technology and has been the mainstay of breast imaging for many decades. Breast tomosynthesis is a relatively new digital x-ray mammography technique that produces multiple image slices of the breast similar to, but distinct from, computed tomography (CT). Xeromammography and galactography are somewhat outdated technologies that also use x-ray technology and are now used infrequently in the detection of breast cancer. Breast ultrasound is another technology employed in diagnosis and screening that can help differentiate between fluid filled and solid lesions, an important factor to determine if a lesion may be cancerous. Breast MRI is a technology typically reserved for high-risk patients and patients recently diagnosed with breast cancer. Lastly, scintimammography is used in a subgroup of patients who have abnormal mammograms or whose screening is not reliable on the basis of using traditional mammography or ultrasound.

<span class="mw-page-title-main">Radiation exposure</span> Measure of ionization of air by ionizing radiation

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Eleanor D. Montague was an American radiologist and educator who established breast-conserving therapy in the United States and improved radiation therapy techniques. She became a member of the Texas Women's Hall of Fame in 1993.

<span class="mw-page-title-main">Branimir Ivan Sikic</span> American physician

Branimir Ivan "Brandy" Sikic is an American medical doctor and scientist at Stanford University School of Medicine. He is an oncologist and cancer pharmacologist, and has served as a faculty member at Stanford University since 1979. His research spans basic, translational, and clinical research and investigates the mechanisms of drug resistance and the development of new anticancer therapies.

Fiona Jane Gilbert is a Scottish radiologist and academic.

Nola M. Hylton is an American oncologist who is Professor of Radiology and Director of the Breast Imaging Research Group at the University of California, San Francisco. She pioneered the usage of magnetic resonance imaging for the detection, diagnosis, and staging of breast cancer by using MRIs to locate tumors and characterize the surrounding tissue.

Dense breast tissue, also known as dense breasts, is a condition of the breasts where a higher proportion of the breasts are made up of glandular tissue and fibrous tissue than fatty tissue. Around 40–50% of women have dense breast tissue and one of the main medical components of the condition is that mammograms are unable to differentiate tumorous tissue from the surrounding dense tissue. This increases the risk of late diagnosis of breast cancer in women with dense breast tissue. Additionally, women with such tissue have a higher likelihood of developing breast cancer in general, though the reasons for this are poorly understood.

<span class="mw-page-title-main">Breast and ovarian cancer</span>

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References

  1. Plevritis, Sylvia K.; Kurian, Allison W.; Sigal, Bronislava M.; Daniel, Bruce L.; Ikeda, Debra M.; Stockdale, Frank E.; Garber, Alan M. (2006-05-24). "Cost-effectiveness of screening BRCA1/2 mutation carriers with breast magnetic resonance imaging". JAMA. 295 (20): 2374–2384. doi: 10.1001/jama.295.20.2374 . ISSN   1538-3598. PMID   16720823.
  2. Plevritis, Sylvia K.; Munoz, Diego; Kurian, Allison W.; Stout, Natasha K.; Alagoz, Oguzhan; Near, Aimee M.; Lee, Sandra J.; van den Broek, Jeroen J.; Huang, Xuelin; Schechter, Clyde B.; Sprague, Brian L. (2018-01-09). "Association of Screening and Treatment With Breast Cancer Mortality by Molecular Subtype in US Women, 2000-2012". JAMA. 319 (2): 154–164. doi: 10.1001/jama.2017.19130 . ISSN   0098-7484. PMC   5833658 . PMID   29318276.
  3. Munoz, Diego; Near, Aimee M.; van Ravesteyn, Nicolien T.; Lee, Sandra J.; Schechter, Clyde B.; Alagoz, Oguzhan; Berry, Donald A.; Burnside, Elizabeth S.; Chang, Yaojen; Chisholm, Gary; de Koning, Harry J. (November 2014). "Effects of screening and systemic adjuvant therapy on ER-specific US breast cancer mortality". Journal of the National Cancer Institute. 106 (11). doi:10.1093/jnci/dju289. ISSN   1460-2105. PMC   4271026 . PMID   25255803.
  4. Qiu, Peng; Simonds, Erin F.; Bendall, Sean C.; Gibbs, Kenneth D.; Bruggner, Robert V.; Linderman, Michael D.; Sachs, Karen; Nolan, Garry P.; Plevritis, Sylvia K. (2011-10-02). "Extracting a Cellular Hierarchy from High-dimensional Cytometry Data with SPADE". Nature Biotechnology. 29 (10): 886–891. doi:10.1038/nbt.1991. ISSN   1087-0156. PMC   3196363 . PMID   21964415.
  5. Anchang, Benedict; Davis, Kara L.; Fienberg, Harris G.; Williamson, Brian D.; Bendall, Sean C.; Karacosta, Loukia G.; Tibshirani, Robert; Nolan, Garry P.; Plevritis, Sylvia K. (2018-05-01). "DRUG-NEM: Optimizing drug combinations using single-cell perturbation response to account for intratumoral heterogeneity". Proceedings of the National Academy of Sciences. 115 (18): E4294–E4303. doi: 10.1073/pnas.1711365115 . ISSN   0027-8424. PMC   5939057 . PMID   29654148.
  6. Karacosta, Loukia G.; Anchang, Benedict; Ignatiadis, Nikolaos; Kimmey, Samuel C.; Benson, Jalen A.; Shrager, Joseph B.; Tibshirani, Robert; Bendall, Sean C.; Plevritis, Sylvia K. (2019-12-06). "Mapping lung cancer epithelial-mesenchymal transition states and trajectories with single-cell resolution". Nature Communications. 10 (1): 5587. Bibcode:2019NatCo..10.5587K. doi: 10.1038/s41467-019-13441-6 . ISSN   2041-1723. PMC   6898514 . PMID   31811131.