Journal article
The role of dual-energy computed tomography in the assessment of pulmonary function
European journal of radiology, Vol.86, pp.320-334
01/2017
DOI: 10.1016/j.ejrad.2016.11.010
PMID: 27865580
Abstract
•The dual-energy CT technique enables the differentiation of contrast materials with material decomposition algorithm.•Pulmonary functional information can be evaluated using dual-energy CT with anatomic CT information, simultaneously.•Pulmonary functional information from dual-energy CT can improve diagnosis and severity assessment of diseases.
The assessment of pulmonary function, including ventilation and perfusion status, is important in addition to the evaluation of structural changes of the lung parenchyma in various pulmonary diseases. The dual-energy computed tomography (DECT) technique can provide the pulmonary functional information and high resolution anatomic information simultaneously. The application of DECT for the evaluation of pulmonary function has been investigated in various pulmonary diseases, such as pulmonary embolism, asthma and chronic obstructive lung disease and so on. In this review article, we will present principles and technical aspects of DECT, along with clinical applications for the assessment pulmonary function in various lung diseases.
Details
- Title: Subtitle
- The role of dual-energy computed tomography in the assessment of pulmonary function
- Creators
- Hye Jeon Hwang - Department of Radiology, Hallym University College of Medicine, Hallym University Sacred Heart Hospital, 22, Gwanpyeong-ro 170beon-gil, Dongan-gu, Anyang-si, Gyeonggi-do 431-796, Republic of KoreaEric A. Hoffman - University of IowaChang Hyun Lee - New Generation University CollegeJin Mo Goo - New Generation University CollegeDavid L. Levin - Mayo ClinicHans-Ulrich Kauczor - University Hospital HeidelbergJoon Beom Seo - University of Ulsan
- Resource Type
- Journal article
- Publication Details
- European journal of radiology, Vol.86, pp.320-334
- Publisher
- Elsevier B.V
- DOI
- 10.1016/j.ejrad.2016.11.010
- PMID
- 27865580
- ISSN
- 0720-048X
- eISSN
- 1872-7727
- Language
- English
- Date published
- 01/2017
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Internal Medicine
- Record Identifier
- 9984318814202771
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