Danielle Celermajer; Anthony Burke; Stefanie Fishel; Erin Fitz-Henry; Nicole Rogers; David Schlosberg; Christine Winter Cambridge University Press (2025) Pehmeäkantinen kirja
Daniel Mills; Jeremy Marchant; Paul McGreevy; David Morton; Christine Nicol; Clive Phillips; Peter Sandøe; Ron Swaisgood CABI (2010) Kovakantinen kirja
Selected as a Doody's Core Title for 2022 and 2023!
Over the past 30 years high-resolution CT (HRCT) has matured to become an integral part of the multidisciplinary evaluation in diffuse lung disease. In this regard, Webb, Muller and Naidich’s High-Resolution CT of the Lung, 6th Edition, is a ‘gold standard’ reference that aims to keep radiologists and pulmonologists alike at the cutting edge of the ever-evolving field of thoracic imaging. The new US-European author team continues the tradition of excellence which readers have come to expect while the underlying layout and ethos — established by the ‘founding’ author team — remain. The new edition aims to brings readers up to date not only with recent advances but also with the important conceptual changes in thinking in various fields of thoracic imaging. Also featured in this updated edition is authoritative guidance on HRCT findings and differential diagnosis, as well as the characteristics of the common lung diseases assessed using HRCT, all enhanced by a multitude of new images and updated content throughout.
Covers the physical and anatomic principles governing HRCT imaging and the importance of the ‘pattern-based’ approach to HRCT interpretation.
Updates to chapters on interstitial lung diseases and airways diseases & connective tissue diseases reflect the dramatic changes in thinking in these fields.
Includes new and improved features including key HRCT findings in separate tables in relevant sections, where relevant, and new and exciting topics including artificial intelligence and machine learning. [Reword to: Includes improved features such as key HRCT findings in separate tables, and new topics including artificial intelligence and machine learning. ?]
Contains full-color illustrations of histologic findings in lung disease linked with HRCT manifestations.
Provides diagnostic algorithms, an illustrated quick reference guide at the front of the text, and helpful tables and line drawings.
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