Diagnostic Immunohistochemistry E-Book

Diagnostic Immunohistochemistry E-Book
Author :
Publisher : Elsevier Health Sciences
Total Pages : 992
Release :
ISBN-10 : 9780323551601
ISBN-13 : 0323551602
Rating : 4/5 (602 Downloads)

Book Synopsis Diagnostic Immunohistochemistry E-Book by : David J Dabbs

Download or read book Diagnostic Immunohistochemistry E-Book written by David J Dabbs and published by Elsevier Health Sciences. This book was released on 2017-11-29 with total page 992 pages. Available in PDF, EPUB and Kindle. Book excerpt: User-friendly and concise, the new edition of this popular reference is your #1 guide for the appropriate use of immunohistochemical stains. Dr. David J. Dabbs and leading experts in the field use a consistent, organ system approach to cover all aspects of the field, with an emphasis on the role of genomics in diagnosis and theranostic applications that will better inform treatment options. Each well-written and well-researched chapter is enhanced with diagnostic algorithms, charts, tables, and superb, full-color histologic images, making this text a practical daily resource for all surgical pathologists. Features a systematic approach to the diagnostic entities of each organ system, including detailed differential diagnoses, diagnostic algorithms, and immunohistograms that depict immunostaining patterns of tumors. Covers many more antigens than other texts, and discusses antibody specifications with tables that convey information on uses, clones, vendors, sources, antibody titers, and types of antigen retrieval. Discusses diagnostic pitfalls through immunohistologic differential diagnosis wherever appropriate so you can provide the most accurate diagnoses. Contains new material on non-lymphoid malignancies, Hodgkin/non-Hodgkin lymphoma, and an expanded chapter on digital imaging and quantilative immunohistochemistry. Provides new grading schemes for several organs, along with new antibodies to cover more genomic immunohistochemistry applications. Offers more emphasis in the breast section of "eyes on" tissue for molecular/IHC prognostics compared to the current trend of gene-expression profiling of breast cancer.


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