High-Resolution Computed Tomography Evaluation of Interstitial Lung Disease for the Pulmonologist
AffiliationUniv Arizona, Banner Univ, Med Ctr, Div Pulm & Crit Care, Dept Med
Univ Arizona, Dept Radiol, Banner Univ, Div Diagnost Radiol, Med Ctr
KeywordsInterstitial lung disease
High-resolution computed tomography
Usual interstitial pneumonia
Nonspecific interstitial pneumonia
Chronic hypersensitivity pneumonia
Smoking-related interstitial lung disease
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CitationNyquist, A., Mushtaq, R., Gill, F., & Yaddanapudi, K. (2020). High-Resolution Computed Tomography Evaluation of Interstitial Lung Disease for the Pulmonologist. Current Pulmonology Reports, 1-12.
JournalCURRENT PULMONOLOGY REPORTS
Rights© Springer Science+Business Media, LLC, part of Springer Nature 2020.
Collection InformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at firstname.lastname@example.org.
AbstractPurpose of Review Interstitial lung disease encompasses variety of entities that have diverse clinical manifestations, prognosis, and treatment options. It is imperative to identify the specific disease early as delays in diagnosis can lead to irreversible damage. Studies demonstrate that treatment with certain medications and avoidance of exposures that potentiate injury can reduce disease progression. Recent Findings The use of high-resolution computed tomography has become essential for the evaluation of interstitial lung disease. Being able to accurately identify the characteristic patterns of abnormalities can lead to expedited diagnosis and has obviated the need of other diagnostic studies such as lung biopsy. High-resolution computed tomography imaging of the chest has changed the approach to the diagnosis and treatment of interstitial lung diseases. Given the numerous entities that compose this group and options for individualized treatment plans, it is imperative for pulmonologists to recognize the defining imaging characteristics.
Note12 month embargo; published 20 October 2020
VersionFinal accepted manuscript
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