Journal article
Recent Advances in Computed Tomography Imaging in Chronic Obstructive Pulmonary Disease
Annals of the American Thoracic Society, Vol.15(3), pp.281-289
03/2018
DOI: 10.1513/AnnalsATS.201705-377FR
PMCID: PMC5880521
PMID: 28812906
Abstract
Lung imaging is increasingly being used to diagnose, quantify, and phenotype chronic obstructive pulmonary disease (COPD). Although spirometry is the gold standard for the diagnosis of COPD and for severity staging, the role of computed tomography (CT) imaging has expanded in both clinical practice and research. COPD is a heterogeneous disease with considerable variability in clinical features, radiographic disease, progression, and outcomes. Recent studies have examined the utility of CT imaging in enhancing diagnostic certainty, improving phenotyping, predicting disease progression and prognostication, selecting patients for intervention, and also in furthering our understanding of the complex pathophysiology of this disease. Multiple CT metrics show promise for use as imaging biomarkers in COPD.
Details
- Title: Subtitle
- Recent Advances in Computed Tomography Imaging in Chronic Obstructive Pulmonary Disease
- Creators
- Sandeep Bodduluri - University of Alabama at BirminghamJoseph M Reinhardt - University of IowaEric A Hoffman - University of IowaJohn D Newell Jr - University of IowaSurya P Bhatt - University of Alabama at Birmingham
- Resource Type
- Journal article
- Publication Details
- Annals of the American Thoracic Society, Vol.15(3), pp.281-289
- DOI
- 10.1513/AnnalsATS.201705-377FR
- PMID
- 28812906
- PMCID
- PMC5880521
- NLM abbreviation
- Ann Am Thorac Soc
- ISSN
- 2325-6621
- eISSN
- 2325-6621
- Publisher
- American Thoracic Society
- Grant note
- P30 ES005605 / NIEHS NIH HHS K23 HL133438 / NHLBI NIH HHS R01 HL130883 / NHLBI NIH HHS P30 DK054759 / NIDDK NIH HHS
- Language
- English
- Date published
- 03/2018
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Internal Medicine
- Record Identifier
- 9984196992702771
Metrics
15 Record Views