دورية أكاديمية

Quantitative imaging analysis detects subtle airway abnormalities in symptomatic military deployers

التفاصيل البيبلوغرافية
العنوان: Quantitative imaging analysis detects subtle airway abnormalities in symptomatic military deployers
المؤلفون: Lauren M. Zell-Baran, Stephen M. Humphries, Camille M. Moore, David A. Lynch, Jean-Paul Charbonnier, Andrea S. Oh, Cecile S. Rose
المصدر: BMC Pulmonary Medicine, Vol 22, Iss 1, Pp 1-12 (2022)
بيانات النشر: BMC, 2022.
سنة النشر: 2022
المجموعة: LCC:Diseases of the respiratory system
مصطلحات موضوعية: Military deployment, HRCT, Quantitative image analysis, Emphysema, Bronchial wall thickening, Air trapping, Diseases of the respiratory system, RC705-779
الوصف: Abstract Background Exposure to inhalational hazards during post-9/11 deployment to Southwest Asia and Afghanistan puts military personnel at risk for respiratory symptoms and disease. Pulmonary function and qualitative chest high resolution computed tomography (HRCT) are often normal in “deployers” with persistent respiratory symptoms. We explored the utility of quantitative HRCT imaging markers of large and small airways abnormalities, including airway wall thickness, emphysema, and air trapping, in symptomatic deployers with clinically-confirmed lung disease compared to controls. Methods Chest HRCT images from 45 healthy controls and 82 symptomatic deployers with asthma, distal lung disease or both were analyzed using Thirona Lung quantification software to calculate airway wall thickness (by Pi10), emphysema (by percentage of lung volume with attenuation
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1471-2466
العلاقة: https://doaj.org/toc/1471-2466Test
DOI: 10.1186/s12890-022-01960-w
الوصول الحر: https://doaj.org/article/3a9329324f174283b5aea91091d8ab1fTest
رقم الانضمام: edsdoj.3a9329324f174283b5aea91091d8ab1f
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:14712466
DOI:10.1186/s12890-022-01960-w