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Cerebral venous thrombosis : diagnostic accuracy of combined, dynamic and static, contrast-enhanced 4D MR venography

Meckel, S. and Reisinger, C. and Bremerich, J. and Damm, D. and Wolbers, M. and Engelter, S. and Scheffler, K. and Wetzel, S. G.. (2010) Cerebral venous thrombosis : diagnostic accuracy of combined, dynamic and static, contrast-enhanced 4D MR venography. American journal of neuroradiology, Vol. 31, H. 3. pp. 527-535.

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Official URL: http://edoc.unibas.ch/dok/A6003629

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Abstract

BACKGROUND AND PURPOSE: MR including MRV is an established method to diagnose CVT. However, it remains unsettled which MR imaging modalities offer the highest diagnostic accuracy. We evaluated the accuracy of a combined, dynamic (1.5 seconds per dataset) and static (voxel size, 1.1 x 0.9 x 1.5 mm), contrast-enhanced MRV method (combo-4D MRV) relative to other established MR/MRV modalities. MATERIALS AND METHODS: A total of 39 patients with CVT (n = 20) and control subjects (n = 19) underwent combo-4D MRV, 2D TOF MRV, GRE imaging, and T2W imaging. For these modalities, diagnostic accuracy (ROCs) for CVT affecting 53 out of 234 predefined venous segments was determined. Sensitivity and specificity were separately calculated for different stages of CVT (acute/subacute/chronic). RESULTS: Combo-4D MRV showed the highest accuracy (AUC, 0.99 [95% CI, 0.97-1.0]; sensitivity, 97% [84%-100%]) for thrombosed dural sinuses. For all thrombosed segments including cortical veins, its sensitivity was best (76% [64%-84%]; AUC, 0.92 [0.88-0.96]), followed by TOF MRV (72% [59%-81%]; AUC, 0.93 [0.88-0.97]). Even for chronic CVT, it showed a relatively high sensitivity of 67% (30%-90%). For thrombosed cortical veins alone, GRE images achieved the highest sensitivity (66% [46%-81%]; AUC, 0.88 [0.78-0.97]). Specificities of all modalities ranged from 96% to 99%. CONCLUSIONS: Combo-4D MRV showed an excellent accuracy for the diagnosis of dural sinus thrombosis. The analysis of dynamic patterns of contrast enhancement in dural sinuses appeared useful to identify chronic thrombosis. To diagnose thrombosed cortical veins, GRE images should primarily be analyzed.
Faculties and Departments:03 Faculty of Medicine > Bereich Querschnittsfächer (Klinik) > Radiologie USB
03 Faculty of Medicine > Departement Klinische Forschung > Bereich Querschnittsfächer (Klinik) > Radiologie USB
03 Faculty of Medicine > Bereich Querschnittsfächer (Klinik) > Ehemalige Einheiten Querschnittsfächer (Klinik) > Medizinische Radiologie (Steinbrich)
03 Faculty of Medicine > Departement Klinische Forschung > Bereich Querschnittsfächer (Klinik) > Ehemalige Einheiten Querschnittsfächer (Klinik) > Medizinische Radiologie (Steinbrich)
03 Faculty of Medicine > Bereich Querschnittsfächer (Klinik) > Ehemalige Einheiten Querschnittsfächer (Klinik) > Radiologische Physik (Scheffler)
03 Faculty of Medicine > Departement Klinische Forschung > Bereich Querschnittsfächer (Klinik) > Ehemalige Einheiten Querschnittsfächer (Klinik) > Radiologische Physik (Scheffler)
03 Faculty of Medicine > Bereich Medizinische Fächer (Klinik) > Neurologie
03 Faculty of Medicine > Departement Klinische Forschung > Bereich Medizinische Fächer (Klinik) > Neurologie
UniBasel Contributors:Scheffler, Klaus and Bremerich, Jens and Wetzel, Stephan G. and Engelter, Stefan
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:American Society of Neuroradiology
ISSN:0195-6108
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:24 May 2013 09:22
Deposited On:24 May 2013 09:12

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