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Thyroid imaging reporting and data system for US features of nodules: a step in establishing better stratification of cancer risk.

DC Field Value Language
dc.contributor.author곽진영-
dc.contributor.author박소희-
dc.contributor.author손은주-
dc.contributor.author김보미-
dc.contributor.author김은경-
dc.contributor.author문희정-
dc.contributor.author윤정현-
dc.contributor.author정현경-
dc.contributor.author최지수-
dc.contributor.author한경화-
dc.date.accessioned2014-12-20T17:23:04Z-
dc.date.available2014-12-20T17:23:04Z-
dc.date.issued2011-
dc.identifier.issn0033-8419-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/94500-
dc.description.abstractPURPOSE: To develop a practical thyroid imaging reporting and data system (TIRADS) with which to categorize thyroid nodules and stratify their malignant risk. MATERIALS AND METHODS: The institutional review board approved this retrospective study, and the requirement to obtain informed consent for the review of images and records was waived. From May to December 2008, ultrasonographically (US)-guided fine-needle aspiration biopsy (FNAB) was performed in 3674 focal thyroid nodules in 3414 consecutive patients. The study included the 1658 thyroid nodules (≥1 cm in maximum diameter at US) in 1638 patients (1373 women, 265 men) for which pathologic diagnosis or follow-up findings were available. Univariate and multivariate analyses with generalized estimating equations were performed to investigate the relationship between suspicious US features and thyroid cancer. A score for each significant factor was assigned and multiplied by the β coefficient obtained for each significant factor from multivariate logistic regression analysis. Scores for each significant factor were then added, resulting in an equation that fitted the probability of malignancy in thyroid nodules. The authors evaluated the fitted probability by using a regression equation; the risk of malignancy was determined according to the number of suspicious US features. RESULTS: The following US features showed a significant association with malignancy: solid component, hypoechogenicity, marked hypoechogenicity, microlobulated or irregular margins, microcalcifications, and taller-than-wide shape. As the number of suspicious US features increased, the fitted probability and risk of malignancy also increased. Positive predictive values according to the number of suspicious US features were significantly different (P < .001). CONCLUSION: Risk stratification of thyroid malignancy by using the number of suspicious US features allows for a practical and convenient TIRADS-
dc.description.statementOfResponsibilityopen-
dc.format.extent892~899-
dc.relation.isPartOfRADIOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAdolescent-
dc.subject.MESHAdult-
dc.subject.MESHAged-
dc.subject.MESHAged, 80 and over-
dc.subject.MESHChild-
dc.subject.MESHFemale-
dc.subject.MESHHumans-
dc.subject.MESHKorea/epidemiology-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHPrevalence-
dc.subject.MESHRisk Assessment-
dc.subject.MESHRisk Factors-
dc.subject.MESHThyroid Neoplasms/diagnostic imaging*-
dc.subject.MESHThyroid Neoplasms/epidemiology*-
dc.subject.MESHUltrasonography/statistics & numerical data*-
dc.subject.MESHYoung Adult-
dc.titleThyroid imaging reporting and data system for US features of nodules: a step in establishing better stratification of cancer risk.-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentYonsei Biomedical Research Center (연세의생명연구원)-
dc.contributor.googleauthorJin Young Kwak-
dc.contributor.googleauthorKyung Hwa Han-
dc.contributor.googleauthorJung Hyun Yoon-
dc.contributor.googleauthorHee Jung Moon-
dc.contributor.googleauthorEun Ju Son-
dc.contributor.googleauthorSo Hee Park-
dc.contributor.googleauthorHyun Kyung Jung-
dc.contributor.googleauthorJi Soo Choi-
dc.contributor.googleauthorBo Mi Kim-
dc.contributor.googleauthorEun-Kyung Kim-
dc.identifier.doi10.1148/radiol.11110206-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA01530-
dc.contributor.localIdA00182-
dc.contributor.localIdA01988-
dc.contributor.localIdA00510-
dc.contributor.localIdA00801-
dc.contributor.localIdA01397-
dc.contributor.localIdA02595-
dc.contributor.localIdA03762-
dc.contributor.localIdA04195-
dc.contributor.localIdA04267-
dc.relation.journalcodeJ02596-
dc.identifier.eissn1527-1315-
dc.identifier.pmid21771959-
dc.identifier.urlhttp://pubs.rsna.org/doi/full/10.1148/radiol.11110206?pubCode=cgi-
dc.contributor.alternativeNameKwak, Jin Young-
dc.contributor.alternativeNamePark, So Hee-
dc.contributor.alternativeNameSon, Eun Ju-
dc.contributor.alternativeNameKim, Bo Mi-
dc.contributor.alternativeNameKim, Eun Kyung-
dc.contributor.alternativeNameMoon, Heui Jeong-
dc.contributor.alternativeNameYoon, Jung Hyun-
dc.contributor.alternativeNameJung, Hyun Kyung-
dc.contributor.alternativeNameChoi, Ji Soo-
dc.contributor.alternativeNameHan, Kyung Hwa-
dc.contributor.affiliatedAuthorPark, So Hee-
dc.contributor.affiliatedAuthorKwak, Jin Young-
dc.contributor.affiliatedAuthorSon, Eun Ju-
dc.contributor.affiliatedAuthorKim, Bo Mi-
dc.contributor.affiliatedAuthorKim, Eun-Kyung-
dc.contributor.affiliatedAuthorMoon, Heui Jeong-
dc.contributor.affiliatedAuthorYoon, Jung Hyun-
dc.contributor.affiliatedAuthorJung, Hyun Kyung-
dc.contributor.affiliatedAuthorChoi, Ji Soo-
dc.contributor.affiliatedAuthorHan, Kyung Hwa-
dc.rights.accessRightsnot free-
dc.citation.volume260-
dc.citation.number3-
dc.citation.startPage892-
dc.citation.endPage899-
dc.identifier.bibliographicCitationRADIOLOGY, Vol.260(3) : 892-899, 2011-
dc.identifier.rimsid27367-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Research Institute (부설연구소) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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