Using imaging as a biomarker for asthma
Autor: | Eric A. Hoffman, Jason C. Woods, Abhaya Trivedi, Mario Castro, David S. Gierada, Chase S. Hall |
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Rok vydání: | 2017 |
Předmět: |
medicine.medical_specialty
Immunology Article 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Optical coherence tomography Hounsfield scale medicine Humans Immunology and Allergy Lung Fluorodeoxyglucose medicine.diagnostic_test business.industry Magnetic resonance imaging Magnetic Resonance Imaging Asthma respiratory tract diseases medicine.anatomical_structure 030228 respiratory system Positron emission tomography Positron-Emission Tomography Biomarker (medicine) Radiology Tomography X-Ray Computed business Biomarkers Preclinical imaging medicine.drug |
Zdroj: | Journal of Allergy and Clinical Immunology. 139:1-10 |
ISSN: | 0091-6749 |
Popis: | There have been significant advancements in the various imaging techniques being used for the evaluation of asthmatic patients, both from a clinical and research perspective. Imaging characteristics can be used to identify specific asthmatic phenotypes and provide a more detailed understanding of endotypes contributing to the pathophysiology of the disease. Computed tomography, magnetic resonance imaging, and positron emission tomography can be used to assess pulmonary structure and function. It has been shown that specific airway and lung density measurements using computed tomography correlate with clinical parameters, including severity of disease and pathology, but also provide unique phenotypes. Hyperpolarized 129Xe and 3He are gases used as contrast media for magnetic resonance imaging that provide measurement of distal lung ventilation reflecting small-airway disease. Positron emission tomography can be useful to identify and target lung inflammation in asthmatic patients. Furthermore, imaging techniques can serve as a potential biomarker and be used to assess response to therapies, including newer biological treatments and bronchial thermoplasty. |
Databáze: | OpenAIRE |
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