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Imaging approaches to understand disease complexity: chronic obstructive pulmonary disease as a clinical model
- Source :
- Journal of Applied Physiology. 124:512-520
- Publication Year :
- 2018
- Publisher :
- American Physiological Society, 2018.
-
Abstract
- The clinical manifestations of chronic obstructive pulmonary disease (COPD) reflect an aggregate of multiple pulmonary and extrapulmonary processes. It is increasingly clear that full assessment of these processes is essential to characterize disease burden and to tailor therapy. Medical imaging has advanced such that it is now possible to obtain in vivo insight in the presence and severity of lung disease-associated features. In this review, we have assembled data from multiple disciplines of medical imaging research to review the role of imaging in characterization of COPD. Topics include imaging of the lungs, body composition, and extrapulmonary tissue metabolism. The primary focus is on imaging modalities that are widely available in clinical care settings and that potentially contribute to describing COPD heterogeneity and enhance our insight in underlying pathophysiological processes and their structural and functional effects.
- Subjects :
- Pathology
medicine.medical_specialty
Chronic bronchitis
EMPHYSEMA PATTERNS
Physiology
Pulmonary disease
Review
MUC5B PROMOTER POLYMORPHISM
Disease
chronic obstructive pulmonary disease
lung
Imaging modalities
AIR-FLOW OBSTRUCTION
Pulmonary Disease, Chronic Obstructive
03 medical and health sciences
Absorptiometry, Photon
0302 clinical medicine
Physiology (medical)
medicine
Medical imaging
Humans
COMPUTED-TOMOGRAPHY
030212 general & internal medicine
Intensive care medicine
ADIPOSE-TISSUE VOLUMES
Disease burden
body composition
COPD
Lung
business.industry
imaging
X-RAY ABSORPTIOMETRY
medicine.disease
Molecular Imaging
CHRONIC-BRONCHITIS
medicine.anatomical_structure
030228 respiratory system
VISCERAL FAT
INTERSTITIAL LUNG ABNORMALITIES
BODY SKELETAL-MUSCLE
Tomography, X-Ray Computed
business
Subjects
Details
- ISSN :
- 15221601 and 87507587
- Volume :
- 124
- Database :
- OpenAIRE
- Journal :
- Journal of Applied Physiology
- Accession number :
- edsair.doi.dedup.....ab06bfde250ea2c09661d342e56e38ae
- Full Text :
- https://doi.org/10.1152/japplphysiol.00143.2017