Generic placeholder image

Current Medical Imaging

Editor-in-Chief

ISSN (Print): 1573-4056
ISSN (Online): 1875-6603

Research Article

Value of MRI T2 FLAIR Vascular Hyperintensities Combined with DWI ASPECTS in Predicting the Prognosis of Acute Cerebral Infarction with Endovascular Treatment

Author(s): Zhonghai Tao*, Fang Zhou, Haojiang Zhang and Mingyue Qian

Volume 19, Issue 11, 2023

Published on: 06 March, 2023

Article ID: e010223213328 Pages: 6

DOI: 10.2174/1573405619666230201103813

Price: $65

conference banner
Abstract

Objective: To explore the MRI T2 fluid-attenuated inversion recovery (FLAIR) vascular hyperintensities (FVH) combined with diffusion-weighted imaging (DWI) Alberta Stroke Program Early CT Score (ASPECTS) in predicting the prognosis of acute cerebral infarction (ACI) with endovascular treatment.

Methods: The patients with ACI in the anterior circulation who underwent endovascular treatment from June 2016 to December 2020 were divided into a good prognosis group and a poor prognosis group according to the modified Rankin Scale (mRS) score at 90 days after the operation. The differences in general clinical baseline data, CT-ASPECTS, FVH, and DWI-ASPECTS between the two groups were analyzed. The receiver operating characteristic (ROC) curve was used to analyze the predictive power of prediction models on prognosis.

Results: The results of the Binomial Logistic regression equation showed initial National Institute of Health stroke scale (NIHSS), Mori grade, DWI-ASPECTS, and FVH were independent risk factors for prognosis. The predictive power of the FVH + DWI-ASPECTS prediction model was highest, and the predictive power of DWI-ASPECTS was higher than that of CT-ASPECTS.

Conclusion: DWI-ASPECTS is better than CT-ASPECTS in predicting the prognosis of ACI with endovascular treatment, and the combined prediction model of FVH and DWI-ASPECTS has higher prediction performance, which can be used as a preoperative evaluation method to predict the effect of endovascular treatment for ACI.

Graphical Abstract

[1]
Lee XR, Xiang GL. Effects of edaravone, the free radical scavenger, on outcomes in acute cerebral infarction patients treated with ultra-early thrombolysis of recombinant tissue plasminogen activator. Clin Neurol Neurosurg 2018; 167: 157-61.
[http://dx.doi.org/10.1016/j.clineuro.2018.02.026] [PMID: 29501045]
[2]
Balami JS, White PM, McMeekin PJ, Ford GA, Buchan AM. Complications of endovascular treatment for acute ischemic stroke: Prevention and management. Int J Stroke 2018; 13(4): 348-61.
[3]
Cho BH, Yoon W, Kim JT, Choi KH, Kang KW, Lee JH. Outcomes of endovascular treatment in acute ischemic stroke patients with current malignancy. Neurol Sci 2020; 41(2): 379-85.
[http://dx.doi.org/10.1007/s10072-019-04103-y]
[4]
Park JS, Lee JM, Kwak HS, Chung GH. Predictive value of CT angiography source image ASPECTS in patients with anterior circulation acute ischemic stroke after endovascular treatment: ultimate infarct size and clinical outcome. J Neurointerv Surg 2019; 11(4): 342-6.
[http://dx.doi.org/10.1136/neurintsurg-2018-014359] [PMID: 30472673]
[5]
Di Giuliano F, Picchi E, Sallustio F, et al. Accuracy of advanced CT imaging in prediction of functional outcome after endovascular treatment in patients with large-vessel occlusion. Neuroradiol J 2019; 32(1): 62-70.
[http://dx.doi.org/10.1177/1971400918805710] [PMID: 30303448]
[6]
Schröder J, Thomalla G. A Critical Review of Alberta Stroke Program Early CT Score for Evaluation of Acute Stroke Imaging. Front Neurol 2017; 7: 245.
[http://dx.doi.org/10.3389/fneur.2016.00245] [PMID: 28127292]
[7]
Lee WJ, Jung KH, Ryu YJ, et al. Acute symptomatic basilar artery stenosis: mr imaging predictors of early neurologic deterioration and long-term outcomes. Radiology 2016; 280(1): 193-201.
[http://dx.doi.org/10.1148/radiol.2016151827] [PMID: 26824713]
[8]
Fahed R, Lecler A, Sabben C, et al. DWI-ASPECTS (Diffusion-Weighted Imaging–Alberta Stroke Program Early Computed Tomography Scores) and DWI-FLAIR (Diffusion-Weighted Imaging–Fluid Attenuated Inversion Recovery) Mismatch in Thrombectomy Candidates. Stroke 2018; 49(1): 223-7.
[http://dx.doi.org/10.1161/STROKEAHA.117.019508] [PMID: 29191851]
[9]
Yoshimoto T, Inoue M, Yamagami H, et al. Use of Diffusion Weighted Imaging Alberta Stroke Program Early Computed Tomography Score (DWI- ASPECTS) and ischemic core volume to determine the malignant profile in acute stroke. J Am Heart Assoc 2019; 8(22): e012558.
[http://dx.doi.org/10.1161/JAHA.119.012558] [PMID: 31698986]
[10]
Edelman RR, Koktzoglou I. Noncontrast MR angiography: An update. J Magn Reson Imaging 2019; 49(2): 355-73.
[11]
Adams HP Jr, Bendixen BH, Kappelle LJ, et al. Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. TOAST. Trial of Org 10172 in Acute Stroke Treatment. Stroke 1993; 24(1): 35-41.
[http://dx.doi.org/10.1161/01.STR.24.1.35] [PMID: 7678184]
[12]
Mori E, Minematsu K, Nakagawara J, Yamaguchi T, Sasaki M, Hirano T. Effects of 0.6 mg/kg intravenous alteplase on vascular and clinical outcomes in middle cerebral artery occlusion: Japan Alteplase Clinical Trial II (J-ACT II). Stroke 2010; 41(3): 461-5.
[http://dx.doi.org/10.1161/STROKEAHA.109.573477] [PMID: 20075341]
[13]
Olindo S, Chausson N, Joux J, et al. Fluid-attenuated inversion recovery vascular hyperintensity: an early predictor of clinical outcome in proximal middle cerebral artery occlusion. Arch Neurol 2012; 69(11): 1462-8.
[http://dx.doi.org/10.1001/archneurol.2012.1310] [PMID: 22893218]
[14]
Hankey GJ. Stroke. Lancet 2017; 389(10069): 641-54.
[http://dx.doi.org/10.1016/S0140-6736(16)30962-X] [PMID: 27637676]
[15]
Tan Y, Zhan L, Chen X, Guo J, Qin C, Xu E. Risk factors, clinical features and prognosis for subtypes of ischemic stroke in a Chinese population. Curr Med Sci 2018; 38(2): 296-303.
[http://dx.doi.org/10.1007/s11596-018-1878-1] [PMID: 30074188]
[16]
Cortés-Vicente E, Guisado-Alonso D, Delgado-Mederos R, et al. Frequency, risk factors, and prognosis of dehydration in acute stroke. Front Neurol 2019; 10: 305.
[http://dx.doi.org/10.3389/fneur.2019.00305] [PMID: 30984104]
[17]
Rothwell PM. Incidence, risk factors and prognosis of stroke and TIA: the need for high-quality, large-scale epidemiological studies and meta-analyses. Cerebrovasc Dis 2003; 16 (Suppl. 3): 2-10.
[http://dx.doi.org/10.1159/000070271] [PMID: 12740550]
[18]
Kilburg C, Scott McNally J, de Havenon A, Taussky P, Kalani MYS, Park MS. Advanced imaging in acute ischemic stroke. Neurosurg Focus 2017; 42(4): E10.
[http://dx.doi.org/10.3171/2017.1.FOCUS16503] [PMID: 28366054]
[19]
Brinjikji W, Huston J III, Rabinstein AA, Kim GM, Lerman A, Lanzino G. Contemporary carotid imaging: from degree of stenosis to plaque vulnerability. J Neurosurg 2016; 124(1): 27-42.
[http://dx.doi.org/10.3171/2015.1.JNS142452] [PMID: 26230478]
[20]
Wardlaw JM, Carpenter T, Sakka E, Mair G, Cohen G, Shuler K. Imaging perfusion deficits, arterial patency and thrombolysis safety and efficacy in acute ischaemic stroke An observational study of the effect of advanced imaging methods in The Third International Stroke Trial (IST-3), a randomised controlled trial. Southampton, (UK): NIHR Journals Library 2014.

Rights & Permissions Print Cite
© 2024 Bentham Science Publishers | Privacy Policy