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Dual-energy CT iodine quantification for characterizing focal thyroid lesions

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dc.contributor.authorLee, Do Hyung-
dc.contributor.authorLee, Young Hen-
dc.contributor.authorSeo, Hyung Suk-
dc.contributor.authorLee, Ki Yeol-
dc.contributor.authorSuh, Sang-il-
dc.contributor.authorRyoo, Inseon-
dc.contributor.authorYou, Sung-Hye-
dc.contributor.authorKim, Byungjun-
dc.contributor.authorYang, Kyung-Sook-
dc.date.accessioned2021-09-01T16:54:12Z-
dc.date.available2021-09-01T16:54:12Z-
dc.date.created2021-06-19-
dc.date.issued2019-04-
dc.identifier.issn1043-3074-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/66436-
dc.description.abstractBackground To determine the usefulness of dual-energy CT (DECT) iodine quantification to classify the focal thyroid lesions. Methods We retrospectively enrolled a total of 76 cytopathologically confirmed focal thyroid lesions (mean size: 1.9 cm). After drawing a region of interest on the DECT-derived iodine maps, the obtained iodine concentration values of thyroid nodules (IC_N) and normalized IC_N were compared between 3 groups: papillary thyroid carcinoma (PTC), benign nodule, and cyst. Results From all lesions, 46, 17, and 13 were assigned to the PTC, benign nodule, and cyst groups. IC_N was the highest in the benign nodule, lower in the PTC, and the lowest in the cyst (median [interquartile range]: 4.3 [3.13-5.48], 3.15 [2.29-4.01], 0.60 [0.33-0.88], all P < .001). Similarly, the normalized IC_N values were all statistically different from each other (P < .05).The multi-class area under the curves using the optimal cutoff values were 0.931 for IC_N and 0.918, 0.920 for normalized IC, respectively. Conclusion DECT iodine quantification could be helpful to classify the focal thyroid lesions.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherWILEY-
dc.subjectCOMPUTED-TOMOGRAPHY-
dc.subjectMULTIDETECTOR CT-
dc.subjectCELL CARCINOMA-
dc.subjectSPECTRAL CT-
dc.subjectNODULES-
dc.subjectIMAGES-
dc.subjectHEAD-
dc.subjectDIFFERENTIATION-
dc.subjectVALUES-
dc.titleDual-energy CT iodine quantification for characterizing focal thyroid lesions-
dc.typeArticle-
dc.contributor.affiliatedAuthorLee, Young Hen-
dc.contributor.affiliatedAuthorSeo, Hyung Suk-
dc.contributor.affiliatedAuthorLee, Ki Yeol-
dc.contributor.affiliatedAuthorSuh, Sang-il-
dc.contributor.affiliatedAuthorRyoo, Inseon-
dc.contributor.affiliatedAuthorYou, Sung-Hye-
dc.contributor.affiliatedAuthorKim, Byungjun-
dc.identifier.doi10.1002/hed.25524-
dc.identifier.scopusid2-s2.0-85058811153-
dc.identifier.wosid000461866800025-
dc.identifier.bibliographicCitationHEAD AND NECK-JOURNAL FOR THE SCIENCES AND SPECIALTIES OF THE HEAD AND NECK, v.41, no.4, pp.1024 - 1031-
dc.relation.isPartOfHEAD AND NECK-JOURNAL FOR THE SCIENCES AND SPECIALTIES OF THE HEAD AND NECK-
dc.citation.titleHEAD AND NECK-JOURNAL FOR THE SCIENCES AND SPECIALTIES OF THE HEAD AND NECK-
dc.citation.volume41-
dc.citation.number4-
dc.citation.startPage1024-
dc.citation.endPage1031-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaOtorhinolaryngology-
dc.relation.journalResearchAreaSurgery-
dc.relation.journalWebOfScienceCategoryOtorhinolaryngology-
dc.relation.journalWebOfScienceCategorySurgery-
dc.subject.keywordPlusCOMPUTED-TOMOGRAPHY-
dc.subject.keywordPlusMULTIDETECTOR CT-
dc.subject.keywordPlusCELL CARCINOMA-
dc.subject.keywordPlusSPECTRAL CT-
dc.subject.keywordPlusNODULES-
dc.subject.keywordPlusIMAGES-
dc.subject.keywordPlusHEAD-
dc.subject.keywordPlusDIFFERENTIATION-
dc.subject.keywordPlusVALUES-
dc.subject.keywordAuthorCT-
dc.subject.keywordAuthordiagnosis-
dc.subject.keywordAuthordifferential-
dc.subject.keywordAuthordual-energy-
dc.subject.keywordAuthoriodin-
dc.subject.keywordAuthoranalysis-
dc.subject.keywordAuthorthyroid nodule-
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