Bronchiolar disorders: A clinical-radiological diagnostic algorithm Journal Article


Authors: Devakonda, A.; Raoof, S.; Sung, A.; Travis, W. D.; Naidich, D.
Article Title: Bronchiolar disorders: A clinical-radiological diagnostic algorithm
Abstract: Bronchiolar disorders are generally difficult to diagnose because most patients present with nonspecific respiratory symptoms of variable duration and severity. A detailed clinical history may point toward a specific diagnosis. Pertinent clinical questions include history of smoking, collagen vascular disease, inhalational injury, medication usage, and organ transplant. It is important also to evaluate possible systemic and pulmonary signs of infection, evidence of air trapping, and high-pitched expiratory wheezing, which may suggest small airways involvement. In this context, pulmonary function tests and plain chest radiographs may demonstrate abnormalities; however, they rarely prove sufficiently specific to obviate bronchoscopic or surgical biopsy. Given these limitations, in our experience, high-resolution CT (HRCT) scanning of the chest often proves to be the most important diagnostic tool to guide diagnosis in these difficult cases, because different subtypes of bronchiolar disorders may present with characteristic image findings. Three distinct HRCT patterns in particular are of value in assisting differential diagnosis. A tree-in-bud pattern of well-defined nodules is seen primarily as a result of infectious processes. Ill-defined centrilobular ground-glass nodules point toward respiratory bronchiolitis when localized in upper lobes in smokers or subacute hypersensitivity pneumonitis when more diffuse. Finally, a pattern of mosaic attenuation, especially when seen on expiratory images, is consistent with air-trapping characteristic of bronchiolitis obliterans or constrictive bronchiolitis. Based on an appreciation of the critical role played by HRCT scanning, this article provides clinicians with a practical algo-rithmic approach to the diagnosis of bronchiolar disorders. © 2010 American College of Chest Physicians.
Keywords: histopathology; tomography, x-ray computed; algorithms; biopsy; bronchoscopy; bronchus disease; bronchi; wheezing; bronchiolitis; high resolution computer tomography; small airway disease; bronchial diseases; respiratory function tests
Journal Title: Chest
Volume: 137
Issue: 4
ISSN: 0012-3692
Publisher: American College of Chest Physicians  
Date Published: 2010-04-01
Start Page: 938
End Page: 951
Language: English
DOI: 10.1378/chest.09-0800
PUBMED: 20371529
PROVIDER: scopus
DOI/URL:
Notes: --- - "Export Date: 20 April 2011" - "CODEN: CHETB" - "Source: Scopus"
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. William D Travis
    743 Travis