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Clinical Value of Deep Vein Thrombosis Density on Lower-Extremity CT Venography: Prediction of Pulmonary Thromboembolism

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dc.contributor.authorJung, Jae Hyeop-
dc.contributor.authorKim, Jin Kyem-
dc.contributor.authorKim, Taeho-
dc.contributor.authorKim, Dong Kyu-
dc.date.accessioned2024-08-19T00:20:16Z-
dc.date.available2024-08-19T00:20:16Z-
dc.date.created2025-02-14-
dc.date.issued2024-01-
dc.identifier.issn1573-4056-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/200294-
dc.description.abstractAim: Diagnosis of pulmonary thromboembolism (PTE) can be delayed if the signs and symptoms of patients are nonspecific. Introduction: To assess the clinical value of deep vein thrombosis (DVT) density on computed tomography (CT) venography for predicting PTE. Methods: From 2016 to 2021, patients with DVT diagnosed on lower-extremity CT venography were included. Of these patients, those without PTE were classified into &apos;DVT-only group&apos; and those with PTE were classified into the &apos;DVT with PTE group&apos;. The DVT Hounsfield unit (HU) density was measured by drawing free-hand region-of-interests within the thrombus at the most proximal filling defect level. The risk factors associated with PTE were identified by using multivariate logistic regression analysis. A receiver operating characteristic (ROC) analysis was used to evaluate the value of DVT density for predicting the risk of PTE. Results and Discussion: This study included 177 patients with a mean age of 41.7 10.3 years (DVT-only group: 105 patients; DVT with PTE group: 72 patients). DVT density was significantly higher in DVT with the PTE group than DVT-only group (66.8HU +/- 8.7 vs. 57.9HU +/- 11.1, p < 0.001). The ROC analysis revealed that the area under the curve (AUC), sensitivity, and specificity for predicting the risk of PTE were 0.737, 72.2%, and 66.7%, respectively, at a DVT density cutoff of 63.0 HU. On univariate and multivariate analysis, DVT density was the only significant risk factor associated with PTE. Conclusion: Higher DVT density was a significant risk factor for PTE. In addition, DVT density could be a predictive factor for PTE.-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherBentham Science-
dc.relation.isPartOfCURRENT MEDICAL IMAGING-
dc.relation.isPartOfCURRENT MEDICAL IMAGING-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleClinical Value of Deep Vein Thrombosis Density on Lower-Extremity CT Venography: Prediction of Pulmonary Thromboembolism-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Radiology (영상의학교실)-
dc.contributor.googleauthorJung, Jae Hyeop-
dc.contributor.googleauthorKim, Jin Kyem-
dc.contributor.googleauthorKim, Taeho-
dc.contributor.googleauthorKim, Dong Kyu-
dc.identifier.doi10.2174/1573405620666230405104312-
dc.relation.journalcodeJ04622-
dc.identifier.eissn1573-4056-
dc.identifier.pmid37038665-
dc.subject.keywordDeep vein thrombosis-
dc.subject.keywordHounsfield unit-
dc.subject.keywordDensity-
dc.subject.keywordLower extremity-
dc.subject.keywordComputed tomography-
dc.subject.keywordPulmonary thromboembolism-
dc.contributor.alternativeNameKim, Dong Kyu-
dc.contributor.affiliatedAuthorKim, Dong Kyu-
dc.identifier.scopusid2-s2.0-85178281634-
dc.identifier.wosid001185676800013-
dc.citation.volume20-
dc.identifier.bibliographicCitationCURRENT MEDICAL IMAGING, Vol.20, 2024-01-
dc.identifier.rimsid84739-
dc.type.rimsART-
dc.description.journalClass1-
dc.description.journalClass1-
dc.subject.keywordAuthorDeep vein thrombosis-
dc.subject.keywordAuthorHounsfield unit-
dc.subject.keywordAuthorDensity-
dc.subject.keywordAuthorLower extremity-
dc.subject.keywordAuthorComputed tomography-
dc.subject.keywordAuthorPulmonary thromboembolism-
dc.subject.keywordPlusEMERGENCY-DEPARTMENT-
dc.subject.keywordPlusIMAGE QUALITY-
dc.subject.keywordPlusEMBOLISM-
dc.subject.keywordPlusRADIATION-
dc.subject.keywordPlusRECANALIZATION-
dc.subject.keywordPlusPROBABILITY-
dc.subject.keywordPlusPOPULATION-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalWebOfScienceCategoryRadiology, Nuclear Medicine & Medical Imaging-
dc.relation.journalResearchAreaRadiology, Nuclear Medicine & Medical Imaging-
dc.identifier.articlenoE050423215455-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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