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The 100 Top-Cited Articles in Pulmonary Imaging

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dc.contributor.authorHong, Su Jin-
dc.contributor.authorLim, Kyoung Ja-
dc.contributor.authorHwang, Hye Jeon-
dc.contributor.authorSeo, Young Lan-
dc.contributor.authorBaek, Sora-
dc.contributor.authorYun, Eun Joo-
dc.contributor.authorChoi, Chul Soon-
dc.contributor.authorYoon, Dae Young-
dc.date.accessioned2022-07-14T03:36:28Z-
dc.date.available2022-07-14T03:36:28Z-
dc.date.created2021-05-14-
dc.date.issued2017-05-
dc.identifier.issn0883-5993-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/152369-
dc.description.abstractPurpose: The aim of the study was to compare the accuracies of 4 different methods of assessing pulmonary nodule enhancement to distinguish benign from malignant solid pulmonary nodules using nondynamic contrast-enhanced dual-energy computed tomography. Materials and Methods: Seventy-two patients (mean age, 62 y) underwent dual-energy chest computed tomography 3 minutes after intravenous contrast administration. Each of 118 pulmonary nodules (9±5.9 mm) were evaluated for enhancement by 4 methods: visual assessment, 3-dimensional automated postprocessing measurement tool, manually drawn region of interest with calculated iodine-related attenuation, and measurement of iodine concentration. The optimal cutoff for enhancement was defined as having the largest specificity among all cutoffs while maintaining 100% sensitivity. Accuracy of the methods was assessed with receiver operating characteristic curves. Results: Ninety-three of 118 pulmonary nodules were benign (79%). Visual assessment of enhancement had sensitivity and specificity of 100% and 44%, respectively. For the automated 3-dimensional measurement tool, 20 HU was found to be the optimal threshold for defining enhancement, resulting in a specificity of 71% and a sensitivity of 100%, as well as an area under the curve (AUC) of 0.87 (95% confidence interval [CI], 0.82-0.92). The AUC was 0.79 (95% CI, 0.73-0.85) for the measured enhancement using a manually drawn region of interest. When a threshold of 21 HU was used for defining enhancement, maximum specificity was obtained (56%) while maintaining 100% sensitivity. The AUC for measured iodine concentration was 0.79 (95% CI, 0.77-0.85). At a cutoff iodine concentration of 0.6 mg/mL, the sensitivity was 100% with a specificity of 57%. Conclusions: Although use of automated postprocessing had the highest specificity while maintaining 100% sensitivity, there were only minor clinically relevant differences between measurement techniques given that no single technique misclassified a malignant nodule as nonenhancing.-
dc.language영어-
dc.language.isoen-
dc.publisherLippincott Williams & Wilkins Ltd.-
dc.titleThe 100 Top-Cited Articles in Pulmonary Imaging-
dc.typeArticle-
dc.contributor.affiliatedAuthorHong, Su Jin-
dc.identifier.doi10.1097/RTI.0000000000000251-
dc.identifier.scopusid2-s2.0-85007270736-
dc.identifier.wosid000404130700009-
dc.identifier.bibliographicCitationJournal of Thoracic Imaging, v.32, no.3, pp.198 - 202-
dc.relation.isPartOfJournal of Thoracic Imaging-
dc.citation.titleJournal of Thoracic Imaging-
dc.citation.volume32-
dc.citation.number3-
dc.citation.startPage198-
dc.citation.endPage202-
dc.type.rimsART-
dc.type.docType정기학술지(Article(Perspective Article포함))-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaRadiology, Nuclear Medicine & Medical Imaging-
dc.subject.keywordAuthorbibliometric analysis-
dc.subject.keywordAuthorcitation-
dc.subject.keywordAuthorcitation classics-
dc.subject.keywordAuthorpulmonary imaging-
dc.identifier.urlhttps://journals.lww.com/thoracicimaging/Fulltext/2017/05000/The_100_Top_Cited_Articles_in_Pulmonary_Imaging__A.7.aspx-
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