Flow Cytometry in Hematopathology, w. CD-ROM
A Visual Approach to Data Analysis and Interpretation
(Sprache: Englisch)
Although instrumentation and laboratory techniques for flow cytometry (FCM) immunophenotyping of hematopoietic malignancies are well documented, there is relatively little information on how best to perform data analysis, a critical step in FCM testing. In...
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Klappentext zu „Flow Cytometry in Hematopathology, w. CD-ROM “
Although instrumentation and laboratory techniques for flow cytometry (FCM) immunophenotyping of hematopoietic malignancies are well documented, there is relatively little information on how best to perform data analysis, a critical step in FCM testing. In Flow Cytometry in Hematopathology: A Visual Approach to Data Analysis and Interpretation, three physicians highly experienced in laboratory hematopathology and FCM offer a unique systematic approach to FCM data analysis and interpretation based on the visual inspection of dual parameter FCM graphics. This step-by-step approach to optimal FCM data analysis is demonstrated by means of numerous FCM graphics derived from actual well-documented clinical cases. In this second edition of this well received book, the authors have revised and expanded the text and added more than 100 figures to reflect the recent advances in the field. The focus of the additional material is on the TCR-Vb eight-tube kit which has greatly facilitated theevaluation mature T-cell disorders, and on the DNA dye DRAQ5 for improved grading of malignant lymphoma. The authors also include notes on "tricks of the trade" and pitfalls to avoid. The discussion, covering leukemias, lymphomas, and other conditions, moves from simple to complex specimens, with an emphasis on visual pattern analysis. Richly illustrated and highly instructive, Flow Cytometry in Hematopathology: A Visual Approach to Data Analysis and Interpretation offers clinical pathologists, hematopathologists, and specialists in laboratory medicine a much-needed guide with a practical and logical approach for sharpening their FCM data analysis skills on a wide spectrum of hematologic disorders.
Inhaltsverzeichnis zu „Flow Cytometry in Hematopathology, w. CD-ROM “
- Table of Contents- Preface to second edition
- Preface to first edition
- Acknowledgements
- List of Abbreviations
- List of Case Studies
- Color Plates
Chapter 1 Approach to Flow Cytometry - General Considerations
1.1 Reasons for the necessity of proper data analysis
1.1.1 The pitfalls of the FCM data format of "percent positive" per antibody tested
1.2 General aspects of FCM data analysis and interpretation
1.3 Other applications of FCM in hematopathology
1.4 Maturation and differentiation of hematopoietic elements, an overview based on the immunologic markers currently in use in the FCM laboratory
Chapter 2 FCM immunophenotyping and DNA analysis - Practical aspects that can affect data analysis and interpretation
2.1 Sample selection
2.1.1 Liquid specimens
2.1.2 Solid tissue specimens
2.2 Preparing nucleated cell suspensions
2.3 Cell yield and viability
2.4 Sample staining.
2.4.1 Surface antigens
2.4.2 Intracellular antigens
2.4.3 DNA content
2.5 Data acquisition
2.5.1 Calibration
2.5.2 Color compensation
2.5.3 List mode data collection
2.5.4 Exclusion of nonviable cells
2.6 Antibody panel design
2.6.1 Antibody selection
2.6.1.1 Anti-light chain antibodies
2.6.2 Fluorochrome conjugation
2.7 Comprehensive antibody panels
2.7.1 Disease-oriented antibody panels
2.7.2 Antibody panels oriented by specimen type
2.8 Tailored panels and add-on testing
2.8.1 Minimal residual disease
2.9 FCM immunophenotyping data representation
2.9.1 Analysis panels
2.9.2 Color display
2.10 Approach to DNA data analysis
2.10.1 DNA ploidy
2.10.2 S-phase
Chapter 3 FCM data analysis on nearly homogeneous samples
3.1 FCM parameters
3.1.1 Forward scatter
3.1.2 Side scatter
3.1.3 Fluorescence
3.1.3.1 Heterogeneous fluorescence intensity (bimodal, variable)
3.2 Fluorescence dynamic range
3.3 Strategy to the visual review of FCM immunophenotyping data
3.4 Common SSC/CD45 patterns
3.4.1 Assessment of the blast population
3.4.2 Immature
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neoplastic cells with downregulated CD45
3.4.3 SSC/CD45 in mature lymphoid disorders
3.5 Other dot plot patterns useful in acute leukemia diagnosis
3.5.1 Useful antigenic features in AML
3.5.1.1 Myeloid phenotypic abnormalities and MRD detection
3.5.2 Precursor B-ALL vs bone marrow B-cell progenitors
3.5.3 Useful antigenic features in precursor T-lymphoma/leukemia
3.6 Evaluation of mature lymphoid malignancies
3.6.1 Assessment of surface light chain expression
3.6.2 Assessment of pan B-cell antigens
3.6.3 Useful antigenic features in mature B-cell malignancies
3.6.3.1 CD10 expression: Follicular center cell lymphomas
3.6.3.2 Pattern of CD20 and CD11c coexpression
3.6.3.3 CD5 expression
3.6.3.4 Aberrant B-cell profile
3.6.4 Identification of abnormal mature T-cells
3.6.5 Useful antigenic features in mature T-cell malignancies
3.7 Assessing the biological behavior of mature lymphoid neoplasms
3.8 Dot plot patterns in histiocytic proliferations and nonhematopoietic malignancies
Chapter 4 FCM data analysis on heterogeneous specimens
4.1 Identifying normal FCM samples
4.1.1 Benign/reactive solid lymphoid tissue (e.g., lymph nodes, tonsils)
4.1.1.1 Pattern of CD10/CD20 coexpression. Distinction between FRFH and FCC lymphoma
4.1.2 Normal peripheral blood and normal bone marrow
4.1.2.1 Blast region
4.1.2.2 Bone marrow B-cell precursors
4.1.2.3 Lymphocytes
4.1.2.4 Monocytes
4.1.2.5 Plasma cells
4.1.2.6 Erythroid precursors
4.1.2.7 Maturing myeloid cells
4.2 Abnormal heterogeneous samples with a detectable immature neoplastic population
4.2.1 Blasts of lymphoid lineage
4.2.2 Blasts of myeloid lineage
4.2.2.1 AML
4.2.2.2 High-grade MDS and MPD with increased blasts
4.3 Minimal residual disease
4.4 Abnormal heterogeneous samples with detectable mature neoplastic populations
4.4.1 Abnormal mature B-cells
4.4.1.1 Evaluation of CD5 and CD23
4.4.1.2 FCM features suggestive of anti-CD20 therapy
4.4.2 Abnormal mature T-cells and NK cells
4.4.3 Abnormal plasma cells present
4.5 Abnormal blood or bone marrow samples with no detectable neoplastic cells
4.5.1 Altered cellular composition and abnormal SSC
4.5.1.1 Increased monocytic elements
4.5.1.2 Increased eosinophils
4.5.1.3 Conspicuous basophils or mast cells
4.5.1.4 Abnormal SSC in granulocytes
4.5.2 Abnormal antigenic maturation in myeloid or erythroid precursors
4.5.2.1 Antigenic abnormalities in myeloid precursors
4.5.2.2 Antigenic abnormalities in erythroid precursors
4.5.2.3 Identifying low-grade MDS
4.6 Coexisting malignancies
Chapter 5 FCM interpretation and reporting
5.1 Immature hematopoietic malignancies
5.1.1 ALL/lymphoblastic lymphoma
5.1.2 Myeloid malignancies
5.1.2.1 AML-M3
5.1.2.2 AML with minimal maturation
5.1.2.3 AML with maturation
5.1.2.4 AML with monocytic differentiation
5.1.2.5 AML with erythroid hyperplasia
5.1.2.6 AML with megakaryocytic differentiation
5.1.2.7 MPD and MDS
5.1.3 Acute leukemias with a multi-lineage antigenic profile
5.2 Mature lymphoid malignancies
5.2.1 B-cell LPD/NHL
5.2.1.1 CD10 expression
5.2.1.2 Coexpression of CD11c, CD25 and CD103
5.2.1.3 Coexpression of CD5 and CD23
5.2.1.4 CD5+ CD23¯ B-cell neoplasms
5.2.1.5 CD45 and/or pan-B cell antigens markedly downregulated
5.2.1.6 Nondescript B-cell phenotype and high FSC
5.2.1.7 Nondescript B-cell phenotype and low FSC
5.2.1.8 Monoclonal B-cells of undetermined significance
5.2.2 Plasma cell dyscrasias
5.2.3 T-cell LPD/NHL
5.2.3.1 CD4+ T-cell LPD/NHL
5.2.3.2 CD8+ disorders
5.2.3.3 CD30+ lymphoma
5.3 FCM reporting
- Suggested Reading
- Appendix
3.4.3 SSC/CD45 in mature lymphoid disorders
3.5 Other dot plot patterns useful in acute leukemia diagnosis
3.5.1 Useful antigenic features in AML
3.5.1.1 Myeloid phenotypic abnormalities and MRD detection
3.5.2 Precursor B-ALL vs bone marrow B-cell progenitors
3.5.3 Useful antigenic features in precursor T-lymphoma/leukemia
3.6 Evaluation of mature lymphoid malignancies
3.6.1 Assessment of surface light chain expression
3.6.2 Assessment of pan B-cell antigens
3.6.3 Useful antigenic features in mature B-cell malignancies
3.6.3.1 CD10 expression: Follicular center cell lymphomas
3.6.3.2 Pattern of CD20 and CD11c coexpression
3.6.3.3 CD5 expression
3.6.3.4 Aberrant B-cell profile
3.6.4 Identification of abnormal mature T-cells
3.6.5 Useful antigenic features in mature T-cell malignancies
3.7 Assessing the biological behavior of mature lymphoid neoplasms
3.8 Dot plot patterns in histiocytic proliferations and nonhematopoietic malignancies
Chapter 4 FCM data analysis on heterogeneous specimens
4.1 Identifying normal FCM samples
4.1.1 Benign/reactive solid lymphoid tissue (e.g., lymph nodes, tonsils)
4.1.1.1 Pattern of CD10/CD20 coexpression. Distinction between FRFH and FCC lymphoma
4.1.2 Normal peripheral blood and normal bone marrow
4.1.2.1 Blast region
4.1.2.2 Bone marrow B-cell precursors
4.1.2.3 Lymphocytes
4.1.2.4 Monocytes
4.1.2.5 Plasma cells
4.1.2.6 Erythroid precursors
4.1.2.7 Maturing myeloid cells
4.2 Abnormal heterogeneous samples with a detectable immature neoplastic population
4.2.1 Blasts of lymphoid lineage
4.2.2 Blasts of myeloid lineage
4.2.2.1 AML
4.2.2.2 High-grade MDS and MPD with increased blasts
4.3 Minimal residual disease
4.4 Abnormal heterogeneous samples with detectable mature neoplastic populations
4.4.1 Abnormal mature B-cells
4.4.1.1 Evaluation of CD5 and CD23
4.4.1.2 FCM features suggestive of anti-CD20 therapy
4.4.2 Abnormal mature T-cells and NK cells
4.4.3 Abnormal plasma cells present
4.5 Abnormal blood or bone marrow samples with no detectable neoplastic cells
4.5.1 Altered cellular composition and abnormal SSC
4.5.1.1 Increased monocytic elements
4.5.1.2 Increased eosinophils
4.5.1.3 Conspicuous basophils or mast cells
4.5.1.4 Abnormal SSC in granulocytes
4.5.2 Abnormal antigenic maturation in myeloid or erythroid precursors
4.5.2.1 Antigenic abnormalities in myeloid precursors
4.5.2.2 Antigenic abnormalities in erythroid precursors
4.5.2.3 Identifying low-grade MDS
4.6 Coexisting malignancies
Chapter 5 FCM interpretation and reporting
5.1 Immature hematopoietic malignancies
5.1.1 ALL/lymphoblastic lymphoma
5.1.2 Myeloid malignancies
5.1.2.1 AML-M3
5.1.2.2 AML with minimal maturation
5.1.2.3 AML with maturation
5.1.2.4 AML with monocytic differentiation
5.1.2.5 AML with erythroid hyperplasia
5.1.2.6 AML with megakaryocytic differentiation
5.1.2.7 MPD and MDS
5.1.3 Acute leukemias with a multi-lineage antigenic profile
5.2 Mature lymphoid malignancies
5.2.1 B-cell LPD/NHL
5.2.1.1 CD10 expression
5.2.1.2 Coexpression of CD11c, CD25 and CD103
5.2.1.3 Coexpression of CD5 and CD23
5.2.1.4 CD5+ CD23¯ B-cell neoplasms
5.2.1.5 CD45 and/or pan-B cell antigens markedly downregulated
5.2.1.6 Nondescript B-cell phenotype and high FSC
5.2.1.7 Nondescript B-cell phenotype and low FSC
5.2.1.8 Monoclonal B-cells of undetermined significance
5.2.2 Plasma cell dyscrasias
5.2.3 T-cell LPD/NHL
5.2.3.1 CD4+ T-cell LPD/NHL
5.2.3.2 CD8+ disorders
5.2.3.3 CD30+ lymphoma
5.3 FCM reporting
- Suggested Reading
- Appendix
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Bibliographische Angaben
- Autor: Nguyen
- 2007, 2nd ed., 344 Seiten, Maße: 21,5 x 28,5 cm, Gebunden, Englisch
- Verlag: Humana Press
- ISBN-10: 1588298558
- ISBN-13: 9781588298553
- Erscheinungsdatum: 05.09.2007
Sprache:
Englisch
Rezension zu „Flow Cytometry in Hematopathology, w. CD-ROM “
"The first edition of this book was wonderful, and this updated edition continues the tradition of excellence. You need this book for ready access if you do hematopathology." -Doody's Book Review, Weighted Numerical Score:96 - 4 StarsFrom the reviews of the second edition:"The book is nicely illustrated and contains numerous colour figures illustrating the broad variety of flow cytometry applications in various haematological conditions. ... The book is very well suited for clinical pathologists, assistants in training in the field of laboratory medicine and clinical pathology, medical technicians and researchers working in clinical haematology laboratories, as well as clinical haematologists who want to get familiar with the recent evolutions in ... diagnostic laboratory medicine." (Joris Delanghe, Acta Clinica Belgica, Vol. 63 (2), 2008)
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