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Clinical value of deep vein thrombosis density on lower-extremity CT venography: prediction of pulmonary thromboembolism

Authors
 Jae Hyeop Jung  ;  Jin Kyem Kim  ;  Taeho Kim  ;  Dong Kyu Kim 
Citation
 CURRENT MEDICAL IMAGING, Vol.20 : e050423215455, 2024-04 
Journal Title
CURRENT MEDICAL IMAGING
Issue Date
2024-04
Keywords
Hounsfield unit ; computed tomography ; deep vein thrombosis ; density ; lower extremity ; pulmonary thromboembolism
Abstract
Aim: 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.

Method: From 2016 to 2021, patients with DVT diagnosed on lower-extremity CT venography were included. Of these patients, those without PTE were classified into 'DVT-only group' and those with PTE were classified into the 'DVT with PTE group'. 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.
Files in This Item:
T202404719.pdf Download
DOI
10.2174/1573405620666230405104312
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
Kim, Dong Kyu(김동규) ORCID logo https://orcid.org/0000-0001-7322-2550
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/200294
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