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Erschienen in: Neurological Sciences 6/2020

21.02.2020 | Review Article

Value of thrombus imaging in predicting the outcomes of patients with large-vessel occlusive strokes after endovascular therapy

verfasst von: Shuang-jiao Huang, Shan-shan Diao, Yue Lu, Tan Li, Lu-lu Zhang, Yi-ping Ding, Qi Fang, Xiu-ying Cai, Zhuan Xu, Yan Kong

Erschienen in: Neurological Sciences | Ausgabe 6/2020

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Abstract

Background

Acute ischemic stroke leads to serious long-term disability and high mortality, especially in patients with large-vessel occlusive strokes. Nowadays, endovascular therapy is considered as an alternative treatment for these patients. Several studies have used thrombus characteristics based on non-contrast computed tomography (NCCT) and computed tomography angiography (CTA) to predict prognosis in ischemic stroke. We conducted a systematic review to identify potential imaging predictive factors for successful recanalization and improved clinical outcome after endovascular therapy in patients with large-vessel occlusion (LVO) in anterior arterial circulation.

Methods

The PubMed databases were searched for related studies reported between September 18, 2009, and September 18, 2019.

Results

We selected 11 studies on revascularization and 12 studies on clinical outcome. Patients with thrombus of higher Hounsfield unit (HU), shorter length, higher clot burden score, and increased thrombus permeability may achieve higher recanalization and improved clinical outcome, but the matter is still under debate.

Conclusion

Imaging of thrombus can be used as an aseessment tool to predict the outcomes and it needs further studies in the future.
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Metadaten
Titel
Value of thrombus imaging in predicting the outcomes of patients with large-vessel occlusive strokes after endovascular therapy
verfasst von
Shuang-jiao Huang
Shan-shan Diao
Yue Lu
Tan Li
Lu-lu Zhang
Yi-ping Ding
Qi Fang
Xiu-ying Cai
Zhuan Xu
Yan Kong
Publikationsdatum
21.02.2020
Verlag
Springer International Publishing
Erschienen in
Neurological Sciences / Ausgabe 6/2020
Print ISSN: 1590-1874
Elektronische ISSN: 1590-3478
DOI
https://doi.org/10.1007/s10072-020-04296-7

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