Publication:
The value of ultrasound elastography in differentiation of malignancy in thyroid nodules

dc.contributor.authorsAkcay, Mehmet Arif; Semiz-Oysu, Aslihan; Ahiskali, Rengin; Aribal, Erkin
dc.date.accessioned2022-03-13T12:46:12Z
dc.date.accessioned2026-01-11T11:06:06Z
dc.date.available2022-03-13T12:46:12Z
dc.date.issued2014
dc.description.abstractWe aimed to determine the value of ultrasound elastography (US-E) using carotid artery pulsation in differentiation of malignant and benign thyroid nodules. One hundred ten nodules were evaluated by US-E, and stiffness scores were compared to biopsy results. When cutoff for malignancy was determined as score 4, sensitivity, specificity, positive predictive value, and negative predictive value were 100%, 95%, 40%, and 100%, respectively. We suggest fine needle aspiration biopsy to be performed in all score 4 nodules, while biopsy may be unnecessary in score 1 nodules. Benign biopsy result in a score 4 nodule should suggest radiologicalpathological disagreement, and repeat biopsy should be recommended. (c) 2014 Elsevier Inc. All rights reserved.
dc.identifier.doi10.1016/j.clinimag.2013.11.008
dc.identifier.eissn1873-4499
dc.identifier.issn0899-7071
dc.identifier.pubmed24387918
dc.identifier.urihttps://hdl.handle.net/11424/237903
dc.identifier.wosWOS:000333378500005
dc.language.isoeng
dc.publisherELSEVIER SCIENCE INC
dc.relation.ispartofCLINICAL IMAGING
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectElastography
dc.subjectFine needle aspiration biopsy
dc.subjectNodule
dc.subjectThyroid gland
dc.subjectUltrasound
dc.subjectFINE-NEEDLE-ASPIRATION
dc.subjectCAROTID-ARTERY PULSATION
dc.subjectREAL-TIME ELASTOGRAPHY
dc.subjectUS-ELASTOGRAPHY
dc.subjectPREDICTING MALIGNANCY
dc.subjectBIOLOGICAL TISSUES
dc.subjectBREAST-LESIONS
dc.subjectDIAGNOSIS
dc.subjectBIOPSY
dc.subjectBENIGN
dc.titleThe value of ultrasound elastography in differentiation of malignancy in thyroid nodules
dc.typearticle
dspace.entity.typePublication
oaire.citation.endPage103
oaire.citation.issue2
oaire.citation.startPage100
oaire.citation.titleCLINICAL IMAGING
oaire.citation.volume38

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