Cited 252 times in
Can vascularity at power Doppler US help predict thyroid malignancy?
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 곽진영 | - |
dc.contributor.author | 김민정 | - |
dc.contributor.author | 김은경 | - |
dc.contributor.author | 문희정 | - |
dc.contributor.author | 손은주 | - |
dc.date.accessioned | 2015-04-23T16:33:48Z | - |
dc.date.available | 2015-04-23T16:33:48Z | - |
dc.date.issued | 2010 | - |
dc.identifier.issn | 0033-8419 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/100811 | - |
dc.description.abstract | PURPOSE: To retrospectively evaluate the diagnostic performance of power Doppler ultrasonography (US) in depicting vascularity and to determine whether the combination of vascularity and suspicious gray-scale US features is more useful in predicting thyroid malignancy than are gray-scale features alone. MATERIALS AND METHODS: This was an institutional review board-approved retrospective study, with waiver of informed consent. A total of 1083 thyroid nodules in 1024 patients (median age, 51 years; range, 16-83 years), consisting of 886 women (median age, 50 years; range, 16-83 years) and 138 men (median age, 53 years; range, 19-74 years), were included. Nodules with marked hypoechogenicity, noncircumscribed margins, microcalcifications, and taller-than-wide shape were classified as suspicious according to gray-scale US criteria. Vascularity was classified as none, peripheral, and intranodular. The diagnostic performance of gray-scale and power Doppler US features was compared and classified as follows: criterion 1, any single suspicious gray-scale US feature; criterion 2, addition of any vascularity as one of the suspicious features to criterion 1; criterion 3, addition of peripheral vascularity to criterion 1; criterion 4, addition of intranodular vascularity to criterion 1; criterion 5, addition of no vascularity to criterion 1; criterion 6, American Association of Clinical Endocrinologists and Associazione Medici Endocrinology guidelines--all hypoechoic nodules with at least one of the following US features: irregular margins, intranodular vascular spots, taller-than-wide shape, or microcalcifications. RESULTS: Of 1083 nodules, 814 were benign and 269 were malignant. Intranodular vascularity was frequently seen in benign nodules and no vascularity was more frequent in malignant nodules (P < .0001, respectively). The area under the receiver operating characteristic curve (A(z)) of criterion 1 was superior (A(z) = 0.851) to that of criteria 2 (A(z) = 0.634), 3 (A(z) = 0.752), 4 (A(z) = 0.733), 5 (A(z) = 0.718), and 6 (A(z) = 0.806) (P < .0001). CONCLUSION: Vascularity itself or a combination of vascularity and gray-scale US features was not as useful as the use of suspicious gray-scale US features alone for predicting thyroid malignancy. | - |
dc.description.statementOfResponsibility | open | - |
dc.relation.isPartOf | RADIOLOGY | - |
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 | Adolescent | - |
dc.subject.MESH | Adult | - |
dc.subject.MESH | Aged | - |
dc.subject.MESH | Aged, 80 and over | - |
dc.subject.MESH | Biopsy, Fine-Needle | - |
dc.subject.MESH | Chi-Square Distribution | - |
dc.subject.MESH | Female | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Logistic Models | - |
dc.subject.MESH | Male | - |
dc.subject.MESH | Middle Aged | - |
dc.subject.MESH | Neovascularization, Pathologic/diagnostic imaging* | - |
dc.subject.MESH | Neovascularization, Pathologic/pathology | - |
dc.subject.MESH | Predictive Value of Tests | - |
dc.subject.MESH | ROC Curve | - |
dc.subject.MESH | Retrospective Studies | - |
dc.subject.MESH | Thyroid Neoplasms/diagnostic imaging* | - |
dc.subject.MESH | Thyroid Neoplasms/pathology | - |
dc.subject.MESH | Thyroid Nodule/diagnostic imaging* | - |
dc.subject.MESH | Thyroid Nodule/pathology | - |
dc.subject.MESH | Ultrasonography, Doppler* | - |
dc.subject.MESH | Ultrasonography, Interventional | - |
dc.title | Can vascularity at power Doppler US help predict thyroid malignancy? | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Radiology (영상의학) | - |
dc.contributor.googleauthor | Hee Jung Moon | - |
dc.contributor.googleauthor | Jin Young Kwak | - |
dc.contributor.googleauthor | Min Jung Kim | - |
dc.contributor.googleauthor | Eun Ju Son | - |
dc.contributor.googleauthor | Eun-Kyung Kim | - |
dc.identifier.doi | 10.1148/radiol.09091284 | - |
dc.admin.author | false | - |
dc.admin.mapping | false | - |
dc.contributor.localId | A00473 | - |
dc.contributor.localId | A00182 | - |
dc.contributor.localId | A00801 | - |
dc.contributor.localId | A01397 | - |
dc.contributor.localId | A01988 | - |
dc.relation.journalcode | J02596 | - |
dc.identifier.eissn | 1527-1315 | - |
dc.identifier.pmid | 20308462 | - |
dc.identifier.url | http://pubs.rsna.org/doi/full/10.1148/radiol.09091284?pubCode=cgi | - |
dc.contributor.alternativeName | Kwak, Jin Young | - |
dc.contributor.alternativeName | Kim, Min Jung | - |
dc.contributor.alternativeName | Kim, Eun Kyung | - |
dc.contributor.alternativeName | Moon, Heui Jeong | - |
dc.contributor.alternativeName | Son, Eun Ju | - |
dc.contributor.affiliatedAuthor | Kim, Min Jung | - |
dc.contributor.affiliatedAuthor | Kwak, Jin Young | - |
dc.contributor.affiliatedAuthor | Kim, Eun-Kyung | - |
dc.contributor.affiliatedAuthor | Moon, Heui Jeong | - |
dc.contributor.affiliatedAuthor | Son, Eun Ju | - |
dc.citation.volume | 255 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 260 | - |
dc.citation.endPage | 269 | - |
dc.identifier.bibliographicCitation | RADIOLOGY, Vol.255(1) : 260-269, 2010 | - |
dc.identifier.rimsid | 37838 | - |
dc.type.rims | ART | - |
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