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ORIGINAL RESEARCH article

Front. Neurosci.

Sec. Brain Imaging Methods

Volume 19 - 2025 | doi: 10.3389/fnins.2025.1604551

This article is part of the Research TopicAI-enabled processing, integrating, and understanding neuroimages and behaviorsView all articles

The value of multimodal MRI in the clinical grading of acute cerebral infarction

Provisionally accepted
Haiyan  GuiHaiyan Gui1*Jingjing  ZhangJingjing Zhang1Jianxiu  LianJianxiu Lian2Ningdi  YangNingdi Yang1Hongwei  LiHongwei Li1*
  • 1The Fourth Hospital of Harbin, Harbin, China
  • 2Philips Healthcare, Beijing, China

The final, formatted version of the article will be published soon.

Introduction: Acute ischemic stroke (AIS) is one of the prevalent types of stroke, characterized by high mortality and disability rates. For reperfusion therapy in acute cerebral infarction, early and accurate identification of ischemic penumbra, collateral circulation and clinical grading is crucial for clinicians in devising effective treatment strategies and assessing prognosis.Methods: Patients diagnosed with AIS were prospectively examined. In this study, the patients were divided into two groups based on NIHSS score, including the severe (score ≥6, 36 patients) and mild (score <6, 51 patients) groups. Quantitative analysis included diffusion-weighted imaging (DWI) diffusion restricted maximum area, three-dimensional arterial spin labeling (3D-ASL) low-perfusion zone maximum area, and 3D-ASL cerebral blood flow (CBF) values. For qualitative analysis, fourdimensional triggered angiography non-contrast enhanced (4D-TRANCE) was used to assess hemodynamics features with a 4-point grading system. Differences among multiple groups were evaluated by analysis of variance. Receiver operating characteristic curves (ROCs) were generated to assess the predictive ability.The severe group had 21 males and 15 females, while there were 27 males and 24 femals in the mild group, with no statistically significant differences in age ( 64±12 vs 63±12 years, P>0.05).Statistical differences were found between these two groups in 3D-ASL low-perfusion zone maximum area and 4D-TRANCE grade (P<0.001). The AUC of the combined model of these two parameters was 0.950, with a sensitivity of 88.9% and a specificity of 92.2%.The combined application of 3D-ASL and 4D-TRANCE is of predictive significance in the clinical grading of acute ischemic cerebral infarction. It could provide a multiparametric and objective basis for further diagnosis and treatment selection.

Keywords: arterial spin label, Magnetic Resonance Imaging, Acute ischemic cerebral infarction, Cerebrovascular Circulation, cerebral perfusion

Received: 02 Apr 2025; Accepted: 28 May 2025.

Copyright: © 2025 Gui, Zhang, Lian, Yang and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Haiyan Gui, The Fourth Hospital of Harbin, Harbin, China
Hongwei Li, The Fourth Hospital of Harbin, Harbin, China

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