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Thyroid incidentalomas detected on (18)F-fluorodeoxyglucose-positron emission tomography/computed tomography: Thyroid Imaging Reporting and Data System (TIRADS) in the diagnosis and management of patients

Authors
 Jung Hyun Yoon ; Arthur Cho ; Jin Young Kwak ; Hee Jung Moon ; Eun-Kyung Kim ; Hye Sun Lee 
Citation
 Surgery, Vol.158(5) : 1314~1322, 2015 
Journal Title
 Surgery 
ISSN
 0039-6060 
Issue Date
2015
Abstract
BACKGROUND: Our aim was to evaluate the role of the Thyroid Imaging Reporting and Data System (TIRADS) in the risk stratification of thyroid incidentalomas detected on (18)F-fluorodeoxyglucose-positron emission tomography/computed tomography ((18)F-FDG-PET/CT) scans. METHODS: Eighty-seven thyroid nodules in 84 patients showing incidentally detected increased uptake on (18)F-FDG-PET/CT who also had ultrasonography (US)-guided fine needle aspiration performed were included. On review of the US images, a TIRADS category was assigned to each thyroid nodule based on the number of suspicious US features. The correlation between the TIRADS category and the standard uptake values (SUV) on (18)F-FDG-PET/CT were calculated and compared. RESULTS: Of the 87 thyroid nodules, 47 (54%) were benign, and 40 (46%) were malignant. The malignancy rate of the TIRADS categories were as follows: 9% for category 3, 15% for category 4a, 39% for category 4b, 72% for category 4c, and 100.0% for category 5. Combining the TIRADS with the SUV showed increased specificity and positive predictive value but decreased sensitivity and negative predictive value compared with TIRADS alone (all P < .05). The area under the receiver operating characteristics curve value of TIRADS was the greatest, comparable with the combined TIRADS and SUV (0.737 to 0.724, P = .788). CONCLUSION: TIRADS may be applied in the risk stratification of thyroid incidentalomas detected on (18)F-FDG-PET/CT. Considering the high malignancy rate of thyroid incidentalomas showing increased (18)F-FDG uptake, ultrasonography-guided fine needle aspiration is mandatory even if there are no suspicious features present on US
URI
http://ir.ymlib.yonsei.ac.kr/handle/22282913/141777
DOI
10.1016/j.surg.2015.03.017.
Appears in Collections:
1. 연구논문 > 1. College of Medicine > Dept. of Nuclear Medicine
1. 연구논문 > 1. College of Medicine > Dept. of Radiology
1. 연구논문 > 1. College of Medicine > Yonsei Biomedical Research Center
Yonsei Authors
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Link
 http://www.sciencedirect.com/science/article/pii/S0039606015002093
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