Lung perfusion CT: The differentiation of cavitary mass

Abstract Purpose To assess the findings of perfusion maps and to evaluate the usefulness of perfusion computed tomography (CT) in the differentiation of cavitary mass. Materials and methods Fifty-three patients with cavitary lung masses were analyzed. Dynamic chest CT was performed after contrast in...

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Bibliographic Details
Published in:European journal of radiology 2010-01, Vol.73 (1), p.59-65
Main Authors: Lee, Young Han, Kwon, Woocheol, Kim, Myung Soon, Kim, Young Ju, Lee, Myeong Sub, Yong, Suk Joong, Jung, Soon-Hee, Chang, Sei-Jin, Sung, Ki Joon
Format: Article
Language:English
Subjects:
Adult
Aged
Aged, 80 and over
Biological and medical sciences
Cavitation
CT perfusion
Diagnosis, Differential
Female
Humans
Lung
Lung - diagnostic imaging
Lung Diseases - diagnostic imaging
Male
Medical sciences
Middle Aged
Perfusion Imaging - methods
Pneumology
Radiology
Respiratory system : syndromes and miscellaneous diseases
Solitary Pulmonary Nodule - diagnostic imaging
Thorax
Tomography, X-Ray Computed - methods
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Summary:Abstract Purpose To assess the findings of perfusion maps and to evaluate the usefulness of perfusion computed tomography (CT) in the differentiation of cavitary mass. Materials and methods Fifty-three patients with cavitary lung masses were analyzed. Dynamic chest CT was performed after contrast injection. The volume map, washout map, peak map, and time-to-peak (TTP) map were reformatted using Interactive Data Language (IDL). The perfusion patterns were classified into three scoring groups, and these scorings were repeated after 2-week intervals. Diagnostic confidence levels were assigned by consensus. The kappa statistics was used to determine intraobserver agreement, and Fisher's exact test was used to analyze statistical differences in perfusion scores. Receiver operating characteristic (ROC) analysis was performed to evaluate the usefulness of the perfusion maps. Results Perfusion maps were reformatted pixel-by-pixel from the time-to-density curve analyses. Pyogenic cavities showed weak washout and slow TTP (69.6%). Conversely, malignant cavities showed strong washout (73.3%). Tuberculous cavities showed low perfusions in the volume and peak maps (66.7%). Intraobserver agreement was excellent. The performance of the combination of CT and perfusion maps was better than that of CT alone. Conclusion Lung perfusion CT could be a promising and feasible method for differentiation of cavitary mass.
ISSN:0720-048X
1872-7727
DOI:10.1016/j.ejrad.2009.04.037