Medical Imaging Convention [rescheduled] Mar 09, 2021 - Mar 10, 2021 — National Exhibition Centre, Birmingham, England
9th SINAPSE Neuro-oncology Imaging Meeting [rescheduled] Mar 11, 2021 09:30 AM - 03:30 PM — West Park Conferencing & Events, 319 Perth Road, Dundee DD2 1NN
Total Body PET 2020 conference [rescheduled] Jun 05, 2021 - Jun 07, 2021 — McEwan Hall, University of Edinburgh

eLearning

SINAPSE experts from around Scotland have developed ten online modules designed to explain medical imaging. They are freely available and are intended for non-specialists.


Edinburgh Imaging Academy at the University of Edinburgh offers the following online programmes through a virtual learning environment:

Neuroimaging for Research MSc/Dip/Cert

Imaging MSc/Dip/Cert

PET-MR Principles & Applications Cert

Applied Medical Image Analysis Cert

Online Short Courses

Quantitative Computed Tomography of the Lungs and Airways in Healthy Nonsmoking Adults

Author(s): J. A. Zach, J. D., Jr. Newell, J. Schroeder, J. R. Murphy, D. Curran-Everett, E. A. Hoffman, P. M. Westgate, M. K. Han, E. K. Silverman, J. D. Crapo, D. A. Lynch

Abstract:
OBJECTIVES: The purposes of this study were to evaluate the reference range of quantitative computed tomography (QCT) measures of lung attenuation and airway parameter measurements in healthy nonsmoking adults and to identify sources of variation in those measures and possible means to adjust for them. MATERIALS AND METHODS: Within the COPDGene study, 92 healthy non-Hispanic white nonsmokers (29 men, 63 women; mean [SD] age, 62.7 [9.0] years; mean [SD] body mass index [BMI], 28.1 [5.1] kg/m) underwent volumetric computed tomography (CT) at full inspiration and at the end of a normal expiration. On QCT analysis (Pulmonary Workstation 2, VIDA Diagnostics), inspiratory low-attenuation areas were defined as lung tissue with attenuation values -950 Hounsfield units or less on inspiratory CT (LAAI-950). Expiratory low-attenuation areas were defined as lung tissue -856 Hounsfield units or less on expiratory CT (LAAE-856). We used simple linear regression to determine the impact of age and sex on QCT parameters and multiple regression to assess the additional impact of total lung capacity and functional residual capacity measured by CT (TLCCT and FRCCT), scanner type, and mean tracheal air attenuation. Airways were evaluated using measures of airway wall thickness, inner luminal area, wall area percentage (WA%), and standardized thickness of an airway with inner perimeter of 10 mm (Pi10). RESULTS: Mean (SD) %LAAI-950 was 2.0% (2.7%), and mean (SD) %LAAE-856 was 9.2% (6.8%). Mean (SD) %LAAI-950 was 3.6% (3.2%) in men, compared with 1.3% (2.0%) in women (P < 0.001). The %LAAI-950 did not change significantly with age (P = 0.08) or BMI (P = 0.52). %LAAE-856 did not show any independent relationship with age (P = 0.33), sex (P = 0.70), or BMI (P = 0.32). On multivariate analysis, %LAAI-950 showed a direct relationship to TLCCT (P = 0.002) and an inverse relationship to mean tracheal air attenuation (P = 0.003), and %LAAE-856 was related to age (P = 0.001), FRCCT (P = 0.007), and scanner type (P < 0.001). Multivariate analysis of segmental airways showed that inner luminal area and WA% were significantly related to TLCCT (P < 0.001) and age (0.006). Moreover, WA% was associated with sex (P = 0.05), axial pixel size (P = 0.03), and slice interval (P = 0.04). Lastly, airway wall thickness was strongly influenced by axial pixel size (P < 0.001). CONCLUSIONS: Although the attenuation characteristics of normal lung differ by age and sex, these differences do not persist on multivariate analysis. Potential sources of variation in measurement of attenuation-based QCT parameters include depth of inspiration/expiration and scanner type. Tracheal air attenuation may partially correct variation because of scanner type. Sources of variation in QCT airway measurements may include age, sex, BMI, depth of inspiration, and spatial resolution.

Full version: Available here

Click the link to go to an external website with the full version of the paper


ISBN: 1536-0210 (Electronic) 0020-9996 (Linking)
Publication Year: 2012
Periodical: Invest Radiol
Periodical Number: 10
Volume: 47
Pages: 596-602
Author Address: From the *Division of Radiology, National Jewish Health, Denver, CO; daggerDepartment of Radiology, University of Iowa, Iowa City, IA; double daggerDivision of Biostatistics and Bioinformatics, National Jewish Health, Denver, CO; Departments of section signBiostatistics and paragraph signInternal Medicine, University of Michigan, Ann Arbor, MI; parallelDepartment of Medicine, Brigham and Women's Hospital, Boston, MA; and **Department of Medicine, National Jewish Health, Denver, CO.