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Erschienen in: Neuroradiology 10/2010

01.10.2010 | Diagnostic Neuroradiology

Cortical vein thrombosis: the diagnostic value of different imaging modalities

verfasst von: Jennifer Linn, Stefan Michl, Bochmann Katja, Thomas Pfefferkorn, Martin Wiesmann, Sabine Hartz, Martin Dichgans, Hartmut Brückmann

Erschienen in: Neuroradiology | Ausgabe 10/2010

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Abstract

Introduction

Cortical vein thrombosis (CVT) is a rare disorder, and its diagnosis is challenging. The aim of our study was to evaluate the value of different imaging modalities for the detection of CVT.

Methods

Thirteen patients with CVT, either isolated (n = 3) or in combination with sinus thrombosis (n = 10), and 20 control patients without any venous pathologies were included in this study. The analysis was performed independently by three blinded readers who evaluated the following imaging modalities and sequences separately: non-enhanced computed tomography (NCCT); multi-detector row CT angiography (MDCTA); diffusion-weighted (DWI), T1-weighted (T1w), PD-weighted (PDw), T2*-weighted (T2*w), and fluid-attenuated inversion recovery-weighted (FLAIRw) magnetic resonance (MR) sequences; as well as venous MR angiography (vMRA). The sensitivity, specificity, positive (PPV) and negative predictive values, and interobserver agreement of the different modalities were calculated.

Results

T2*w showed the highest sensitivity for the detection of CVT (97.4%), followed by T1w (70%). FLAIRw and vMRA had a sensitivity of 50% and 41.7%, respectively, whereas the sensitivity of NCCT, MDCTA, DWI, and PDw was below 30%. The specificity and PPV of all modalities was 100%, with good to perfect interobserver agreement.

Conclusion

T2*w was the superior MR imaging sequence for diagnosing CVT. Besides T2*w, only T1w reached a sensitivity of over 50% for CVT, followed by FLAIRw, and vMRA. On the contrary, our results suggest that NCCT but also MDCTA might not be suitable for diagnosing CVT.
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Metadaten
Titel
Cortical vein thrombosis: the diagnostic value of different imaging modalities
verfasst von
Jennifer Linn
Stefan Michl
Bochmann Katja
Thomas Pfefferkorn
Martin Wiesmann
Sabine Hartz
Martin Dichgans
Hartmut Brückmann
Publikationsdatum
01.10.2010
Verlag
Springer-Verlag
Erschienen in
Neuroradiology / Ausgabe 10/2010
Print ISSN: 0028-3940
Elektronische ISSN: 1432-1920
DOI
https://doi.org/10.1007/s00234-010-0654-0

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