Thrombus Imaging Characteristics to Predict Early Recanalization in Anterior Circulation Large Vessel Occlusion Stroke

Author:

Arrarte Terreros Nerea12ORCID,Stolp Jeffrey3,Bruggeman Agnetha A. E.2,Swijnenburg Isabella S. J.12,Lopes Ricardo R.12ORCID,van Meenen Laura C. C.3,Groot Adrien E. D.3,Kappelhof Manon12ORCID,Coutinho Jonathan M.3,Roos Yvo B. W. E. M.3,Emmer Bart J.2ORCID,Beenen Ludo F. M.2ORCID,Dippel Diederik W. J.4,van Zwam Wim H.5ORCID,van Bavel Ed1,Marquering Henk A.12ORCID,Majoie Charles B. L. M.2ORCID

Affiliation:

1. Department of Biomedical Engineering and Physics, Amsterdam University Medical Centers, Location University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands

2. Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Location University of Amsterdam, 1105 AZ Amsterdam, The Netherlands

3. Department of Neurology, Amsterdam University Medical Centers, Location University of Amsterdam, 1105 AZ Amsterdam, The Netherlands

4. Department of Neurology, Erasmus Medical Center, 3015 GD Rotterdam, The Netherlands

5. Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands

Abstract

The early management of transferred patients with a large vessel occlusion (LVO) stroke could be improved by identifying patients who are likely to recanalize early. We aim to predict early recanalization based on patient clinical and thrombus imaging characteristics. We included 81 transferred anterior-circulation LVO patients with an early recanalization, defined as the resolution of the LVO or the migration to a distal location not reachable with endovascular treatment upon repeated radiological imaging. We compared their clinical and imaging characteristics with all (322) transferred patients with a persistent LVO in the MR CLEAN Registry. We measured distance from carotid terminus to thrombus (DT), thrombus length, density, and perviousness on baseline CT images. We built logistic regression models to predict early recanalization. We validated the predictive ability by computing the median area-under-the-curve (AUC) of the receiver operating characteristics curve for 100 5-fold cross-validations. The administration of intravenous thrombolysis (IVT), longer transfer times, more distal occlusions, and shorter, pervious, less dense thrombi were characteristic of early recanalization. After backward elimination, IVT administration, DT and thrombus density remained in the multivariable model, with an AUC of 0.77 (IQR 0.72–0.83). Baseline thrombus imaging characteristics are valuable in predicting early recanalization and can potentially be used to optimize repeated imaging workflow.

Funder

AMC medical research BV, Amsterdam UMC

Publisher

MDPI AG

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