Literature DB >> 31554502

Admission Diffusion-Weighted Imaging Lesion Volume in Patients With Large Vessel Occlusion Stroke and Alberta Stroke Program Early CT Score of ≥6 Points: Serial Computed Tomography-Magnetic Resonance Imaging Collateral Measurements.

Inwu Yu1, Oh Young Bang1, Jong-Won Chung1, Yoon-Chul Kim2, Eun-Hyeok Choi1, Woo-Keun Seo1, Gyeong-Moon Kim1, Bijoy K Menon3, Andrew M Demchuk3, Mayank Goyal3,4, Michael D Hill3,4.   

Abstract

Background and Purpose- We hypothesized that the pial collateral status at the time of presentation could predict the infarct size on magnetic resonance imaging in patients with similar degrees of early ischemic changes on computed tomography. We tested the association between serial changes in collateral status and infarct volume defined on diffusion-weighted imaging (DWI) in patients with large vessel occlusion and small core. Methods- Consecutive patients who were candidates for endovascular treatment (Alberta Stroke Program Early CT Score [ASPECTS] of ≥6 points) and who underwent both pretreatment multiphasic computed tomography angiography (mCTA) and multimodal magnetic resonance imaging were enrolled. The baseline early ischemic changes and collateral status were determined using both mCTA and magnetic resonance imaging-based collateral maps. Multivariable linear regression was used to evaluate adjusted estimates of the effect of collateral status on predicting MR DWI lesion volume before endovascular treatment. Results- Of 65 patients (39 men; median age, 76 years; median ASPECTS, 8 points [range, 6-10]), 10 (15.4%), 8 (12.3%), and 47 (72.3%) presented poor, intermediate, and good collaterals on mCTA, respectively. After adjusting for the initial stroke severity, ASPECTS, time to DWI, and mismatch volume, the mCTA collateral grade was the only factor independently associated with the DWI lesion volume (β=-35.657, SE mean=3.539; P<0.0001). An excellent correlation between the mCTA- and magnetic resonance imaging-based collateral grades was observed (matching grade seen in 92.3%), suggesting a collateral status persistence during the hyperacute stroke phase. Conclusions- The mCTA assessed collateral adequacy is the sole predictor of eventual DWI lesion volume before endovascular treatment. The added value of collateral assessment in early ischemic changes and large vessel occlusion for decision-making regarding more aggressive revascularizations requires further evaluation. Clinical Trial Registration- URL: https://www.clinicaltrials.gov. Unique identifier: NCT03234634 and NCT02668627.

Entities:  

Keywords:  Alberta; collateral circulation; computed tomography angiography; magnetic resonance imaging; stroke

Mesh:

Year:  2019        PMID: 31554502     DOI: 10.1161/STROKEAHA.119.026229

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  6 in total

1.  A Deep Learning-Based Automatic Collateral Assessment in Patients with Acute Ischemic Stroke.

Authors:  Yoon-Chul Kim; Jong-Won Chung; Oh Young Bang; Mihee Hong; Woo-Keun Seo; Gyeong-Moon Kim; Eung Yeop Kim; Jin Soo Lee; Ji Man Hong; David S Liebeskind; Jeffrey L Saver
Journal:  Transl Stroke Res       Date:  2022-05-21       Impact factor: 6.829

Review 2.  Collateral Status and Outcomes after Thrombectomy.

Authors:  Jin Soo Lee; Oh Young Bang
Journal:  Transl Stroke Res       Date:  2022-06-10       Impact factor: 6.829

3.  Association of Systolic Blood Pressure and Cerebral Collateral Flow in Acute Ischemic Stroke by Stroke Subtype.

Authors:  Jae Eun Sim; Jong-Won Chung; Woo-Keun Seo; Oh Young Bang; Gyeong-Moon Kim
Journal:  Front Neurol       Date:  2022-05-13       Impact factor: 4.086

4.  Hypoxia induces de novo formation of cerebral collaterals and lessens the severity of ischemic stroke.

Authors:  Hua Zhang; Wojciech Rzechorzek; Amir Aghajanian; James E Faber
Journal:  J Cereb Blood Flow Metab       Date:  2020-05-19       Impact factor: 6.200

5.  Automated Prediction of Ischemic Brain Tissue Fate from Multiphase Computed Tomographic Angiography in Patients with Acute Ischemic Stroke Using Machine Learning.

Authors:  Wu Qiu; Hulin Kuang; Johanna M Ospel; Michael D Hill; Andrew M Demchuk; Mayank Goyal; Bijoy K Menon
Journal:  J Stroke       Date:  2021-05-31       Impact factor: 6.967

6.  Monocyte-to-lymphocyte ratio affects prognosis in LAA-type stroke patients.

Authors:  Cheng-Ju Wang; Chun-Yang Pang; Yi-Fan Cheng; Hong Wang; Bin-Bin Deng; Huan-Jie Huang
Journal:  Heliyon       Date:  2022-10-04
  6 in total

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