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Practical Pulmonary Pathology: A Diagnostic Approach,E-Book: A Volume in the Pattern Recognition Series
by Classics Books & Gifts
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**Selected for 2026 Doody's Core Titles in Pulmonology**Part of the in-depth and practical Pattern Recognition series, Practical Pulmonary Pathology, 4th Edition, helps you arrive at an accurate diagnosis by using a pattern-based approach. Leading diagnosticians in pulmonary pathology offer practical assistance in identifying all major neoplastic and non-neoplastic diseases of the lungs, guiding you from a pathological pattern through the appropriate work-up, around the pitfalls, and to the best diagnosis. More than 1,000 high-quality illustrations capture key morphologic patterns for a full range of common and rare conditions and assist in the interpretation of complex diagnostic puzzles. A unique visual index at the beginning of the book directs you to the exact chapter and specific page you need for in-depth diagnostic guidance.- Helps you quickly recognize the vast variety of appearances of the lung that result from infections, tumors, and tumor-like lesions, both malignant and benign- Discusses advances in molecular diagnostic testing, its capabilities and its limitations, including targeted/personalized medicine- Incorporates clinicopathologic background and relevant data from ancillary techniques (immunohistochemistry, cytogenetics, and molecular genetics), giving you the tools you need to master the latest breakthroughs in diagnostic technology- Covers the latest TNM staging and WHO classification systems, as well as new diagnostic biomarkers and their utility in differential diagnosis, newly described variants, and new histologic entities- Color-codes patterns to specific entities, and summarizes key points in tables, charts, and graphs so you can quickly and easily find what you are looking for- Shares the knowledge and expertise of new co-editor, Dr. Maxwell L. Smith
| Author | Maxwell L. Smith MD (Editor), Kevin O. Leslie MD (Editor), Mark R. Wick MD (Editor) |
| ISBN-13 | 9780323795487 |
| Publisher | Elsevier Science |
| Publication Date | 11/22/2022 |
| Series | Pattern Recognition |
| Page Count | 880 pages |
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