Abstract

We evaluated the best methods for predicting various infarct core thresholds for endovascular treatment of ischemic stroke using parameters obtained by multiphase computed tomographic angiography (mCTA). Consecutive patients evaluated for endovascular treatment who concomitantly underwent mCTA and stroke magnetic resonance imaging (MRI) were analyzed. The ability of CTA-based collaterals (single-phase [sCTAc] and multiphase [mCTAc]) and ASPECTS or their combined interpretation for the selection of patients with cores of <31 ml and <70 ml, and ≥100 ml, were compared. In the total 142 patients, the combined interpretation of collateral scores and ASPECTS score indicated significant added benefit for the prediction of smaller infarct volume thresholds (<31 ml) compared to ASPECTS alone. Selection of cases that satisfied both sCTAc 3–5 and ASPECTS 6–10 had the optimal predictive capability and inter-rater reliability. While the combined interpretation did not provide a significant added benefit for the prediction of larger infarct volume thresholds, sCTAc 0–2 and mCTAc 0–2 performed as well as ASPECTS 0–5 in prediction of core volumes ≥100 ml with better inter-rater reliability. sCTA and mCTA can improve the selection of patients for EVT by more accurately predicting lower infarct core volume cutoffs. When excluding patients with large infarct cores, they can improve inter-rater reliability.

Details

Title
Optimal Multiphase Computed Tomographic Angiography-based Infarct Core Estimations for Acute Ischemic Stroke
Author
Lee, Seong-Joon 1 ; Woo Sang Jung 2   VIAFID ORCID Logo  ; Choi, Mun Hee 1 ; Hong, Ji Man 1 ; Lee, Jin Soo 1 ; Choi, Jin Wook 2   VIAFID ORCID Logo 

 Department of Neurology, Ajou University School of Medicine, Ajou University Medical Center, Suwon, South Korea 
 Department of Radiology, Ajou University School of Medicine, Ajou University Medical Center, Suwon, South Korea 
Pages
1-7
Publication year
2019
Publication date
Oct 2019
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2309515694
Copyright
© 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.