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Importance of computed tomography perfusion on assessing collateral circulation and prognosis of patients with acute anterior circulation large vessel occlusion after endovascular therapy

Authors :
Lei Chen
Guangjun Bian
Xiufang Zhu
Xinxiu Duan
Yue Meng
Lei Li
Source :
SLAS Technology, Vol 29, Iss 4, Pp 100139- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

This study probed the importance of computed tomography perfusion (CTP) on assessing collateral circulation and prognosis in patients with acute anterior circulation large vessel occlusion (AAC-LVO) after endovascular therapy (EVT). Retrospective analysis was performed on the case data of 124 AAC-LVO patients who achieved EVT in the First People's Hospital of Lianyungang. All patients received computed tomography (CT) examination. Based on the multi-phase computed tomography angiography (mCTA) score, patients were separated into poor collateral circulation group and good collateral circulation group. Based on modified Rankin scale (mRS) score, patients were separated into good prognosis group and poor prognosis group. The receiver operating characteristic (ROC) curve was used to measure the efficacy of CTP parameters in predicting good collateral circulation or good prognosis. Correlation between CTP parameters with mCTA collateral and 90-day mRS circulation score was analyzed using the Spearman correlation analysis. The age and admission national Institutes of Health stroke scale (NIHSS) scores of the good collateral circulation group were lower than the poor collateral circulation group, and low perfusion area volume with Tmax > 6 s (VTmax>6 s), infarct core area volume (VCBF6 s, VCBF6 s and VCBF6 s, VCBF6 s, Alberta Stroke Program Early CT(ASPECT) score, and higher mCTA score. Spearman correlation analysis unveiled that ASPECT score, mCTA score and 90-day mRS were negatively correlated. The final infarct volume, perfusion parameters HIR and VCBF

Details

Language :
English
ISSN :
24726303
Volume :
29
Issue :
4
Database :
Directory of Open Access Journals
Journal :
SLAS Technology
Publication Type :
Academic Journal
Accession number :
edsdoj.07420bd922f8410c8729581e790f3fd6
Document Type :
article
Full Text :
https://doi.org/10.1016/j.slast.2024.100139