Cited 22 times in
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
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 윤정현 | - |
dc.contributor.author | 이혜선 | - |
dc.contributor.author | 조응혁 | - |
dc.contributor.author | 곽진영 | - |
dc.contributor.author | 김은경 | - |
dc.contributor.author | 문희정 | - |
dc.date.accessioned | 2016-02-04T12:03:00Z | - |
dc.date.available | 2016-02-04T12:03:00Z | - |
dc.date.issued | 2015 | - |
dc.identifier.issn | 0039-6060 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/141777 | - |
dc.description.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 | - |
dc.description.statementOfResponsibility | open | - |
dc.format.extent | 1314~1322 | - |
dc.relation.isPartOf | SURGERY | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.subject.MESH | Adult | - |
dc.subject.MESH | Aged | - |
dc.subject.MESH | Aged, 80 and over | - |
dc.subject.MESH | Carcinoma/diagnosis* | - |
dc.subject.MESH | Endoscopic Ultrasound-Guided Fine Needle Aspiration | - |
dc.subject.MESH | Female | - |
dc.subject.MESH | Fluorodeoxyglucose F18 | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Incidental Findings | - |
dc.subject.MESH | Male | - |
dc.subject.MESH | Middle Aged | - |
dc.subject.MESH | Multimodal Imaging* | - |
dc.subject.MESH | Positron-Emission Tomography* | - |
dc.subject.MESH | Predictive Value of Tests | - |
dc.subject.MESH | ROC Curve | - |
dc.subject.MESH | Radiology Information Systems* | - |
dc.subject.MESH | Radiopharmaceuticals | - |
dc.subject.MESH | Retrospective Studies | - |
dc.subject.MESH | Risk Assessment | - |
dc.subject.MESH | Thyroid Nodule/classification | - |
dc.subject.MESH | Thyroid Nodule/diagnosis* | - |
dc.subject.MESH | Tomography, X-Ray Computed* | - |
dc.title | 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 | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Nuclear Medicine (핵의학) | - |
dc.contributor.googleauthor | Jung Hyun Yoon | - |
dc.contributor.googleauthor | Arthur Cho | - |
dc.contributor.googleauthor | Hye Sun Lee | - |
dc.contributor.googleauthor | Eun-Kyung Kim | - |
dc.contributor.googleauthor | Hee Jung Moon | - |
dc.contributor.googleauthor | Jin Young Kwak | - |
dc.identifier.doi | 10.1016/j.surg.2015.03.017 | - |
dc.admin.author | false | - |
dc.admin.mapping | false | - |
dc.contributor.localId | A03312 | - |
dc.contributor.localId | A02595 | - |
dc.contributor.localId | A03887 | - |
dc.contributor.localId | A00182 | - |
dc.contributor.localId | A00801 | - |
dc.contributor.localId | A01397 | - |
dc.relation.journalcode | J02700 | - |
dc.identifier.eissn | 1532-7361 | - |
dc.identifier.pmid | 25958065 | - |
dc.identifier.url | http://www.sciencedirect.com/science/article/pii/S0039606015002093 | - |
dc.contributor.alternativeName | Yoon, Jung Hyun | - |
dc.contributor.alternativeName | Lee, Hye Sun | - |
dc.contributor.alternativeName | Cho, Arthur Eung Hyuck | - |
dc.contributor.alternativeName | Kwak, Jin Young | - |
dc.contributor.alternativeName | Kim, Eun Kyung | - |
dc.contributor.alternativeName | Moon, Heui Jeong | - |
dc.contributor.affiliatedAuthor | Lee, Hye Sun | - |
dc.contributor.affiliatedAuthor | Yoon, Jung Hyun | - |
dc.contributor.affiliatedAuthor | Cho, Arthur Eung Hyuck | - |
dc.contributor.affiliatedAuthor | Kwak, Jin Young | - |
dc.contributor.affiliatedAuthor | Kim, Eun-Kyung | - |
dc.contributor.affiliatedAuthor | Moon, Heui Jeong | - |
dc.rights.accessRights | not free | - |
dc.citation.volume | 158 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 1314 | - |
dc.citation.endPage | 1322 | - |
dc.identifier.bibliographicCitation | SURGERY, Vol.158(5) : 1314-1322, 2015 | - |
dc.identifier.rimsid | 30879 | - |
dc.type.rims | ART | - |
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