5 615

Cited 21 times in

Large (≥3cm) thyroid nodules with benign cytology: Can Thyroid Imaging Reporting and Data System (TIRADS) help predict false-negative cytology?

DC Field Value Language
dc.contributor.author곽진영-
dc.contributor.author구자승-
dc.contributor.author김은경-
dc.contributor.author문희정-
dc.contributor.author윤정현-
dc.date.accessioned2018-07-20T08:14:41Z-
dc.date.available2018-07-20T08:14:41Z-
dc.date.issued2017-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/161010-
dc.description.abstractBACKGROUND: There is controversy about the accuracy of the fine-needle aspiration (FNA) cytology results in large sized thyroid nodules. Our aim was to evaluate the false-negative rate of FNA for large thyroid nodules and the usefulness of the Thyroid Imaging Reporting and Data System (TIRADS) in predicting false-negative cytology for large thyroid nodules with benign cytology. METHODS: 632 thyroid nodules larger than or equal to 3cm in size with subsequent benign cytology on US-guided FNA were included. US features of internal composition, echogenicity, margin, calcifications, and shape were evaluated, and nodules were classified according to TIRADS. TIRADS category 3 included nodules without any of the following suspicious features:solidity, hypoechogenicity or marked hypoechogenicity, microlobulated or irregular margins, microcalcifications, and taller-than-wide shape. Category 4a, 4b, 4c, and 5 were assigned to nodules showing one, two, three or four, or five suspicious US features, respectively. US features associated with malignancy for these lesions were analyzed and malignancy risk according to TIRADS was calculated. RESULTS: Of the 632 lesions, 23 lesions(3.6%) were malignant and 609(96.4%) were benign, suggesting a 3.6% false-negative rate for FNA cytology. Of the 23 malignant lesions, final pathology was mainly follicular carcinoma minimally invasive(65.2%, 15/23) and the follicular variant of papillary carcinoma(26.1%, 6/23). The malignancy risks of categories 3, 4a, 4b, and 4c nodules were 0.9%, 4.6%, 10.0%, and 11.8%, respectively. CONCLUSION: Large thyroid nodules with benign cytology had a relatively high false-negative risk of 3.6% and TIRADS was helpful in predicting false-negative cytology for these lesions.-
dc.description.statementOfResponsibilityopen-
dc.formatapplication/pdf-
dc.languageEnglish-
dc.publisherPublic Library of Science-
dc.relation.isPartOfPLOS ONE-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHBiopsy, Fine-Needle/standards-
dc.subject.MESHFalse Negative Reactions-
dc.subject.MESHFemale-
dc.subject.MESHHumans-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHRisk Assessment/methods-
dc.subject.MESHThyroid Gland/diagnostic imaging-
dc.subject.MESHThyroid Nodule/diagnostic imaging-
dc.titleLarge (≥3cm) thyroid nodules with benign cytology: Can Thyroid Imaging Reporting and Data System (TIRADS) help predict false-negative cytology?-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine-
dc.contributor.departmentDept. of Radiology-
dc.contributor.googleauthorSe Jin Nam-
dc.contributor.googleauthorJin Young Kwak-
dc.contributor.googleauthorHee Jung Moon-
dc.contributor.googleauthorJung Hyun Yoon-
dc.contributor.googleauthorEun-Kyung Kim-
dc.contributor.googleauthorJa Seung Koo-
dc.identifier.doi10.1371/journal.pone.0186242-
dc.contributor.localIdA00182-
dc.contributor.localIdA00198-
dc.contributor.localIdA00801-
dc.contributor.localIdA01397-
dc.contributor.localIdA02595-
dc.relation.journalcodeJ02540-
dc.identifier.eissn1932-6203-
dc.identifier.pmid29023564-
dc.contributor.alternativeNameKwak, Jin Young-
dc.contributor.alternativeNameKoo, Ja Seung-
dc.contributor.alternativeNameKim, Eun Kyung-
dc.contributor.alternativeNameMoon, Heui Jeong-
dc.contributor.alternativeNameYoon, Jung Hyun-
dc.contributor.affiliatedAuthorKwak, Jin Young-
dc.contributor.affiliatedAuthorKoo, Ja Seung-
dc.contributor.affiliatedAuthorKim, Eun-Kyung-
dc.contributor.affiliatedAuthorMoon, Heui Jeong-
dc.contributor.affiliatedAuthorYoon, Jung Hyun-
dc.contributor.affiliatedAuthor구자승-
dc.citation.volume12-
dc.citation.number10-
dc.citation.startPagee0186242-
dc.identifier.bibliographicCitationPLOS ONE, Vol.12(10) : e0186242, 2017-
dc.identifier.rimsid60901-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Pathology (병리학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.