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Thrombus volume and Hounsfield unit density as a predictor of pulmonary embolism in patients with deep vein thrombosis

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dc.contributor.authorYu, Min Hyuk-
dc.contributor.authorJung, Jae Hyeop-
dc.contributor.authorKim, Taeho-
dc.contributor.authorKim, Dong Kyu-
dc.date.accessioned2024-05-30T07:05:55Z-
dc.date.available2024-05-30T07:05:55Z-
dc.date.created2024-04-16-
dc.date.issued2023-06-
dc.identifier.issn0284-1851-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/199548-
dc.description.abstractBackground: There is a lack of studies evaluating the association between thrombus volume and density of deep vein thrombosis (DVT) and pulmonary embolism (PE). Purpose: To assess the clinical value of thrombus volume and density for prediction of PE in patients with DVT. Material and Methods: Among the patients with DVT, those without PE were classified as the "DVT-only group" and those with PE were classified as the "DVT-PE group." Thrombus volume and Hounsfield unit (HU) density of DVT was measured by drawing free-hand volume of interests within the thrombus. Multivariate regression and receiver operating characteristic (ROC) analysis was used to evaluate the predictive value of thrombus volume and density for PE. Results: Of the included 145 patients (mean age=41.7 +/- 10.3 years), there were 87 patients in the DVT-only group and 58 patients in the DVT-PE group. The DVT-PE group showed a significantly higher DVT density (67.4 +/- 8.6 HU vs. 57.3 +/- 10.4 HU; P < 0.001) and larger DVT volume (16.4 +/- 13.9 cm(3) vs. 12.8 +/- 10.1 cm(3); P = 0.016) than the DVT-only group. On multivariate analysis, thrombus density was the only associated factor for PE. ROC analysis showed that thrombus density >= 61.8 HU was the optimal cutoff for predicting PE with an area under the curve (AUC) of 0.774 and thrombus volume >= 14.0 cm(3) was the cutoff with an AUC of 0.638. Conclusion: Though the results of our study should be considered within the limitations, DVT density could be a predictor for acute PE. Further studies are needed to clarify the clinical value of quantitative features of DVT including thrombus volume as an imaging biomarker for PE.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherSage-
dc.relation.isPartOfACTA RADIOLOGICA-
dc.relation.isPartOfACTA RADIOLOGICA-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleThrombus volume and Hounsfield unit density as a predictor of pulmonary embolism in patients with deep vein thrombosis-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Radiology (영상의학교실)-
dc.contributor.googleauthorYu, Min Hyuk-
dc.contributor.googleauthorJung, Jae Hyeop-
dc.contributor.googleauthorKim, Taeho-
dc.contributor.googleauthorKim, Dong Kyu-
dc.identifier.doi10.1177/02841851231165921-
dc.relation.journalcodeJ00033-
dc.identifier.eissn1600-0455-
dc.identifier.pmid37046388-
dc.subject.keywordDeep vein thrombosis-
dc.subject.keywordthrombus density-
dc.subject.keywordthrombus volume-
dc.subject.keywordpulmonary embolism-
dc.contributor.alternativeNameKim, Dong Kyu-
dc.contributor.affiliatedAuthorKim, Dong Kyu-
dc.identifier.scopusid2-s2.0-85153103718-
dc.identifier.wosid000970812100001-
dc.citation.volume64-
dc.citation.number6-
dc.citation.startPage2198-
dc.citation.endPage2204-
dc.identifier.bibliographicCitationACTA RADIOLOGICA, Vol.64(6) : 2198-2204, 2023-06-
dc.identifier.rimsid83094-
dc.type.rimsART-
dc.description.journalClass1-
dc.description.journalClass1-
dc.subject.keywordAuthorDeep vein thrombosis-
dc.subject.keywordAuthorthrombus density-
dc.subject.keywordAuthorthrombus volume-
dc.subject.keywordAuthorpulmonary embolism-
dc.subject.keywordPlusSUCCESSFUL RECANALIZATION-
dc.subject.keywordPlusINTRAVENOUS THROMBOLYSIS-
dc.subject.keywordPlusEMERGENCY-DEPARTMENT-
dc.subject.keywordPlusSTROKE-
dc.subject.keywordPlusCT-
dc.subject.keywordPlusPROBABILITY-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalWebOfScienceCategoryRadiology, Nuclear Medicine & Medical Imaging-
dc.relation.journalResearchAreaRadiology, Nuclear Medicine & Medical Imaging-
dc.identifier.articleno02841851231165921-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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