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Case study interpretation: Report from the ICCS Annual Meeting, Seattle, 2014
Author(s) -
Fromm Jonathan R.,
Tagliente Damian J.,
Shaver Aaron C.,
Neppalli Vishala,
Craig Fiona E.
Publication year - 2015
Publication title -
cytometry part b: clinical cytometry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.646
H-Index - 61
eISSN - 1552-4957
pISSN - 1552-4949
DOI - 10.1002/cyto.b.21238
Subject(s) - population , flow cytometry , phenotype , set (abstract data type) , myeloid , biology , interpretation (philosophy) , computational biology , immunology , medicine , genetics , computer science , gene , environmental health , programming language
The Case Study Interpretation (CSI) cases presented at the 2014 International Clinical Cytometry Society (ICCS) meeting in Seattle illustrate the utility of state‐of‐the art multiparameter flow cytometry in the diagnosis of hematolymphoid neoplasms. Download the listmode files (Supporting Information) and test your analysis skills before reading the case reports, keeping in mind the following questions. How many separate abnormal mature B‐cell populations can you identify, and how many of these represent different subtypes of B‐cell neoplasm? How many separate abnormal mature T‐cell populations can you identify, and do these represent different subtypes of T‐cell neoplasm or phenotypic heterogeneity in one neoplasm? How many separate immature/blastic cell populations can you identify, and do they meet criteria for mixed phenotype leukemia? Is there a population of blasts that lacks T‐cell, B‐cell, and myeloid lineage defining antigens and if so, what entities should you consider and what additional antigens should you assess for? © 2015 International Clinical Cytometry Society