Specialty Imaging: HRCT of the Lung, 3rd Edition
This item will be released on 25-04-2025
Part of the highly regarded Specialty Imaging series, HRCT of the Lung, third edition, reflects the many recent changes in HRCT diagnostic interpretation. An easy-to-read bulleted format and thousands of state-of-the-art imaging examples guide you step by step through every aspect of thin-section CT and HRCT in the evaluation of patients with suspected lung disease. This book is an ideal resource for radiologists and internal medicine specialists who need an easily accessible tool to help them understand the indications, strengths, and limitations of HRCT in their practice.
ISBN :
9780443286360
Publication Date :
25-04-2025
Part of the highly regarded Specialty Imaging series, HRCT of the Lung, third edition, reflects the many recent changes in HRCT diagnostic interpretation. An easy-to-read bulleted format and thousands of state-of-the-art imaging examples guide you step by step through every aspect of thin-section CT and HRCT in the evaluation of patients with suspected lung disease. This book is an ideal resource for radiologists and internal medicine specialists who need an easily accessible tool to help them understand the indications, strengths, and limitations of HRCT in their practice.
Key Features
- Helps you identify and characterize critical HRCT findings and gain a solid understanding of cross-sectional imaging anatomy of the lung—crucial skills for formulating diagnoses and appropriate differential diagnoses
- Delivers details on anatomy-based exploration as well as nodules and micronodules, cysts and pseudocysts, reticulation and honeycombing, mosaic attenuation, ground-glass opacities, and interlobular septal thickening
- Uses a time-saving, bulleted format that distills essential information for fast and easy comprehension
- Includes new chapters on post-COVID-19 findings, RSV, and EVALI, as well as content on new morphologic patterns for pulmonary fibrosis, the new classification for hypersensitivity pneumonia, and the use of artificial intelligence (AI) in the diagnosis of interstitial lung diseases
- Provides direction for determining common, less common, and rare diagnoses based on morphologic features, distribution of abnormalities, and/or histologic patterns
- Features superb illustrations with comprehensive captions that display both typical and variant findings on HRCT scans, as well as numerous videos online
- Offers new references, new images, and new histopathologic correlations throughout
- Includes an eBook version that enables you to access all text, figures, and references, with the ability to search, customize your content, make notes and highlights, and have content read aloud; additional digital ancillary content may publish up to 6 weeks following the publication date
Author Information
By Santiago Martínez-Jiménez, MD, Department of Radiology, Saint Luke's Hospital of Kansas City, Professor of Radiology, University of Missouri-Kansas City School of Medicine, Kansas City, Missouri; Melissa L. Rosado-de-Christenson, MD, FACR, FAAWR, Melissa L. Rosado-de-Christenson, MD, FACR, FAAWR, Attending Radiologist, Division of Cardiothoracic Imaging, Department of Medical Imaging, Banner – University Medical Group Tucson, Professor of Medical Imaging, University of Arizona College of Medicine – Tucson, Tucson, Arizona and Sherief Garrana, MD, Clinical Assistant Professor of Radiology, Division of Thoracic Imaging, Department of Radiology, NYU Langone Health, New York, New York
