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Clinical value of deep vein thrombosis density on pre-contrast and post-contrast lower-extremity CT for prediction of pulmonary thromboembolism

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dc.contributor.authorKim, Dong Kyu-
dc.contributor.authorJung, Jae Hyeop-
dc.contributor.authorKim, Jin Kyem-
dc.contributor.authorKim, Taeho-
dc.date.accessioned2024-03-27T00:49:57Z-
dc.date.available2024-03-27T00:49:57Z-
dc.date.created2023-04-14-
dc.date.issued2023-04-
dc.identifier.issn0284-1851-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/198742-
dc.description.abstractBackground: There was a lack of studies assessing the relationship between deep vein thrombosis (DVT) Hounsfield unit (HU) density and pulmonary thromboembolism (PTE). Purpose: To evaluate the clinical value of DVT density measured on pre- and post-contrast lower-extremity computed tomography (CT) for the prediction of PTE. Material and Methods: From 2017 to 2021, patients who underwent pulmonary CT angiography within one week after diagnosis of DVT on lower-extremity CT were included in this retrospective study. Then, the patients without PTE were included in "DVT group" and those with both DVT and PTE were included in the "DVT-PTE group." The DVT HU density was measured by drawing free-hand region of interests (ROIs) within the thrombus at the most proximal filling defect level. A receiver operating characteristic (ROC) analysis was used to evaluate the predictive value of DVT density for the risk of PTE. Results: This study included a total of 94 patients (DVT group: n=56; DVT-PTE group: m=38). DVT density was significantly higher in the DVT-PTE group than the DVT group in both pre-contrast (53.5 +/- 6.2 HU vs. 44.1 +/- 7.9 HU; P<0.001) and post-contrast CT (67.0 +/- 8.6 HU vs. 57.1 +/- 10.6 HU; P<0.001). ROC analysis revealed that the area under curve, sensitivity, and specificity for predicting the risk of PTE were 0.739, 71.1%, and 64.2%, respectively, at a DVT density cutoff of 48.2 HU on pre-contrast CT and were 0.779, 73.7%, and 69.6% at a DVT density cutoff of 61.8 HU on post-contrast CT. Conclusion: The DVT density on both pre- and post-contrast CT could be a predictive factor of PTE.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherSage-
dc.relation.isPartOfActa Radiologica-
dc.relation.isPartOfACTA RADIOLOGICA-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleClinical value of deep vein thrombosis density on pre-contrast and post-contrast lower-extremity CT for prediction of pulmonary thromboembolism-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Radiology (영상의학교실)-
dc.contributor.googleauthorKim, Dong Kyu-
dc.contributor.googleauthorJung, Jae Hyeop-
dc.contributor.googleauthorKim, Jin Kyem-
dc.contributor.googleauthorKim, Taeho-
dc.identifier.doi10.1177/02841851221131250-
dc.relation.journalcodeJ00033-
dc.identifier.eissn1600-0455-
dc.identifier.pmid36214092-
dc.subject.keywordDeep vein thrombosis-
dc.subject.keywordpulmonary thromboembolism-
dc.subject.keywordHounsfield unit-
dc.subject.keyworddensity-
dc.contributor.alternativeNameKim, Dong Kyu-
dc.contributor.affiliatedAuthorKim, Dong Kyu-
dc.identifier.scopusid2-s2.0-85139648698-
dc.identifier.wosid000865576700001-
dc.citation.volume64-
dc.citation.number4-
dc.citation.startPage1410-
dc.citation.endPage1417-
dc.identifier.bibliographicCitationActa Radiologica, Vol.64(4) : 1410-1417, 2023-04-
dc.identifier.rimsid78741-
dc.type.rimsART-
dc.description.journalClass1-
dc.description.journalClass1-
dc.subject.keywordAuthorDeep vein thrombosis-
dc.subject.keywordAuthorpulmonary thromboembolism-
dc.subject.keywordAuthorHounsfield unit-
dc.subject.keywordAuthordensity-
dc.subject.keywordPlusEMERGENCY-DEPARTMENT-
dc.subject.keywordPlusEMBOLISM-
dc.subject.keywordPlusRECANALIZATION-
dc.subject.keywordPlusPROBABILITY-
dc.subject.keywordPlusSTROKE-
dc.subject.keywordPlusMODEL-
dc.subject.keywordPlusRISK-
dc.type.docTypeArticle; Early Access-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalWebOfScienceCategoryRadiology, Nuclear Medicine & Medical Imaging-
dc.relation.journalResearchAreaRadiology, Nuclear Medicine & Medical Imaging-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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