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Diagnosis and Fault-Tolerant Control

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This volume provides a practical yet comprehensive guide to manage the shift in the diagnosis of lung cancer from large resections to small samples, including cytology specimens and core biopsies. Specifically, it outlines various available minimally-invasive modalities and presents algorithms to optimize and maximize sample collection and processing beginning at the time of tissue acquisition during the procedure. Secondly, the book provides an overview of the various existing and emerging lung cancer therapies and why a specific diagnosis is crucial. Key elements for the classification of small biopsies and cytology proposed by the ATS, IASLC, and ERS are highlighted. A section dedicated to immunohistochemistry offers a logical, step-by-step guide to sub-classify lung cancers and to differentiate them from metastases. The text also provides a review of the various molecular tests (and alternatives in cases of scant tissue) required for lung adenocarcinomas. Finally, potential pitfalls to avoid during acquisition, processing, and classification are discussed. With contributions from a team of multidisciplinary authors who are regularly involved in the care of lung cancer patients, Diagnosing Non-small Cell Carcinoma in Small Biopsy and Cytology is an invaluable reference guide for pathologists, pathologists-in-training, and allied professionals, including oncologists, pulmonologists, surgeons, and radiologists

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Detail Information

Series Title

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Call Number

571.978

Publisher

New York : Springer., 2014

Collation

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Language

English

ISBN/ISSN

9781493916078

Classification

571.978

Content Type

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Media Type

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Carrier Type

online resource

Edition

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Subject(s)

Cancer Diagnosis

Specific Detail Info

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Statement of Responsibility

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Other Information

Cataloger

Kurnadi

Source

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