flow cytometry in hematopathology: a visual approach to data analysis and interpretation

ISBN-13: 9781588298553 / Angielski / Twarda / 2007 / 344 str.

Doyen Nguyen; Lawrence W. Diamond; Raul C. Braylan

Opis

The second edition of this volume reflects the recent advances in the FCM analysis of hematopoietic disorders. The chapters have been revised to incorporate new text and figures. The volume is aimed at hematopathologists, hematologists, pathologists, and laboratory technicians.

Recenzje

"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 Stars

From 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)

Spis treści

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 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 heterogeneou

Blurb

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 the evaluation 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.