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ID 113404
Title Alternative
Imaging tools for mediastinal cystic lesions
Author
Kajiura, Koichiro Tokushima University|Urasoe General Hospital KAKEN Search Researchers
Kawano, Naoko Tokushima University
Sawada, Toru Tokushima University
Kondo, Kazuya Tokushima University
Keywords
Mediastinal cystic lesions
18F-FDG PET/CT
Magnetic resonance imaging
Content Type
Journal Article
Description
Objective : To identify and differentiate patients with mediastinal cysts from those with cystic tumors requiring surgery. Methods : A total of 36 patients with mediastinal cystic lesions were enrolled. The patients were separated into two groups based on pathological findings : those with mediastinal cysts (n=23) and those with mediastinal tumors (n=13). The cystic components were measured using imaging parameters including mean computed tomography (CT) value, apparent diffusion coefficient (ADC), T1 signal intensity ratio (T1SI-ratio), and T2 signal intensity ratio (T2SI-ratio), acquired from magnetic resonance imaging (MRI) ; and standardized maximum uptake value (SUVmax) from 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT). Both groups were statistically compared. Results : Comparative parameters between the cysts and tumors revealed the following ratios : CT value, 40.9±21.2 versus (vs) 24.8±12.9 (p = 0.019) ; SUVmax, 1.18±0.50 vs 4.32±3.52 (p = 0.003) ; ADC, 3.46±0.96 vs 2.68±0.74 (p = 0.022) ; T1SI-ratio, 1.06±0.60 vs 1.35±0.92 (p = 0.648) ; T2SI-ratio, 5.40±1.80 vs 4.33±1.58 (p = 0.194). However, there was no correlation between FDG uptake and ADC value. Conclusions : SUVmax from 18F-FDG PET/CT and ADC derived from MRI were effective in facilitating preoperative diagnosis to differentiate mediastinal cysts from tumors. However, these examinations may be complementary to one another, not dominant.
Journal Title
The Journal of Medical Investigation
ISSN
13496867
13431420
NCID
AA12022913
AA11166929
Publisher
Tokushima University Faculty of Medicine
Volume
66
Issue
1-2
Start Page
106
End Page
111
Sort Key
106
Published Date
2019-02
EDB ID
DOI (Published Version)
URL ( Publisher's Version )
FullText File
language
eng
TextVersion
Publisher
departments
Medical Sciences
University Hospital