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Dural sinus thrombus volume as an independent risk factor for cortical venous involvement in patients with cerebral
Zhenzhen Shi1, Yuting Qiao1, Mengyao Sun2
1Department of Radiology, The First Hospital of Jilin University, Changchun, China.
Purpose:
This study aimed to compare the clinical and imaging features of cerebral venous sinus thrombosis (CVST) patients with or without cerebral cortical vein thrombosis (CCVT) and to analyze the risk factors for concomitant CCVT in the CVST population.
Materials And Methods:
In this retrospective study, a total of 144 consecutive patients diagnosed with CVST were included. All participants underwent high-resolution magnetic resonance vessel wall imaging (HRMR-VWI). Patients were divided into two groups according to the presence or absence of concomitant CCVT. Demographic, clinical, and radiological data were systematically collected. Dural sinus thrombus volume was quantified on a GE AW 4.6 workstation using HRMR-VWI source images. These clinical and imaging features, including thrombus volume, were then compared between the two groups. Multivariable logistic regression was subsequently employed to identify independent risk factors associated with concomitant CCVT among CVST patients.
Results:
Among 144 patients with CVST, 96 (66.7%) had concomitant CCVT. Multivariable logistic regression identified larger dural sinus thrombus volume (adjusted odds ratio [aOR] per 1-cm³ increase, 1.16; 95% confidence interval [CI], 1.04-1.30; P = 0.008), elevated D-dimer levels (aOR, 3.57; 95% CI, 1.14-11.17; P = 0.03), seizures (aOR, 13.23; 95% CI, 1.46-120.10; P = 0.02), and cerebral hemorrhage (aOR, 3.73; 95% CI, 1.16-12.00; P = 0.03) as independent risk factors for concomitant CCVT.
Conclusions:
This study provides the first evidence that larger dural sinus thrombus volume, elevated D-dimer, seizures, and cerebral hemorrhage are independent risk factors for CCVT in patients with CVST. The objective quantification of dural sinus thrombus volume offers a novel imaging basis for the early identification of high-risk CCVT patients, and its predictive performance warrants further validation in prospective studies.
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