U.S.-Canadian consensus recommendations on the immunophenotypic analysis of hematologic neoplasia by flow cytometry: Data analysis and interpretation

Michael J. Borowitz, Robert Bray, Randy Gascoyne, Steven Melnick, John W. Parker, Louis Picker, Maryalice Stetler-Stevenson

Research output: Contribution to journalArticle

110 Scopus citations

Abstract

Data analysis and interpretation in flow cytometry is a two-stage process that relies first on multiparameter analysis with an informative panel of antibodies to discriminate normal from abnormal cells. The phenotype of the abnormal cells should then be described based on presence and intensity of expression of various antigens and on the light scatter characteristics of the cells. An interpretation can then be rendered based on the overall phenotypic pattern seen. In some cases this phenotypic pattern will be specific enough to suggest a particular diagnosis, whereas in other cases the information can be used to narrow a differential diagnosis suggested by clinical and morphologic criteria, and still others can suggest a differential diagnosis that other techniques can address. The results of this synthesis of information should be included in a narrative section of the report.

Original languageEnglish (US)
Pages (from-to)236-244
Number of pages9
JournalCommunications in Clinical Cytometry
Volume30
Issue number5
DOIs
StatePublished - Oct 15 1997

ASJC Scopus subject areas

  • Pathology and Forensic Medicine
  • Biophysics
  • Hematology
  • Endocrinology
  • Cell Biology

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