Barlage, Stefan and Rothe, Gregor and Knuechel, Ruth and Schmitz, Gerd (1999) Flow cytometric immunophenotyping of mature lymphatic neoplasias using knowledge guided cluster analysis. ANALYTICAL CELLULAR PATHOLOGY, 19 (2). pp. 81-90. ISSN 0921-8912
Full text not available from this repository.Abstract
Flow cytometry is widely used for the immunological characterization of hematopoietic malignancies. Discrimination of normal and malignant cellular immunophenotypes is the most critical step in data analysis, especially if multi-color analysis is performed on highly heterogenous cell suspensions. We therefore investigated, whether adaptive, simultaneous multiparameter gating allowed automated, operator independent analysis of data obtained from the immunophenotyping of blood or bone marrow samples with regard to the presence of non-Hodgkin lymphoma cells. The identification of physiological and malignant cells was achieved by predefining population boundaries, based on the expectations of the population's location in two-dimensional dot plots. The prospective application of these predefined region boundaries in 52 blood and bone marrow samples enabled identification of lymphoma cells with regard to their presence and immunophenotype, based on the correlation of markers as defined in multiple tubes. Our data confirm that highly standardized data analysis methods can reduce the variability of analysis and support the expert in establishing a rapid classification of the sample.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | CHRONIC LYMPHOCYTIC-LEUKEMIA; ACUTE MYELOID-LEUKEMIA; HEMATOPOIETIC MALIGNANCIES; SCATTER CHARACTERISTICS; PERIPHERAL-BLOOD; LIGHT SCATTER; CD45 ANTIGEN; BONE-MARROW; LYMPHOMA; EXPRESSION |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Klinische Chemie und Laboratoriumsmedizin Medicine > Lehrstuhl für Pathologie |
| Depositing User: | Petra Gürster |
| Date Deposited: | 22 May 2024 09:52 |
| Last Modified: | 22 May 2024 09:52 |
| URI: | https://pred.uni-regensburg.de/id/eprint/48597 |
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