Literature DB >> 29083523

MRI of plaque characteristics and relationship with downstream perfusion and cerebral infarction in patients with symptomatic middle cerebral artery stenosis.

Shan-Shan Lu1, Song Ge2, Chun-Qiu Su1, Jun Xie1, Jian Mao3, Hai-Bin Shi1, Xun-Ning Hong1.   

Abstract

BACKGROUND: Intracranial plaque characteristics are associated with stroke events. Differences in plaque features may explain the disconnect between stenosis severity and the presence of ischemic stroke.
PURPOSE: To investigate the relationship between plaque characteristics and downstream perfusion changes, and their contribution to the occurrence of cerebral infarction beyond luminal stenosis. STUDY TYPE: Case control.
SUBJECTS: Forty-six patients with symptomatic middle cerebral artery (MCA) stenosis (with acute cerebral infarction, n = 30; without acute cerebral infarction, n = 16). FIELD STRENGTH/SEQUENCE: 3.0T with 3D turbo spin echo sequence (3D-SPACE). ASSESSMENT: Luminal stenosis grade, plaque features including lesion T2 and T1 hyperintense components, plaque enhancement grade, and plaque distribution were assessed. Brain perfusion was evaluated on mean transient time maps based on the Alberta Stroke Program Early CT score (MTT-ASPECTS). STATISTICAL TESTS: Plaque features, grade of luminal stenosis, and MTT-ASPECTS were compared between two groups. The association between plaque features and MTT-ASPECTS were assessed using Spearman's correlation analysis. Multivariate logistic regression and receiver operating characteristic (ROC) curves were constructed to assess the effect of significant variables alone and their combination in determining the occurrence of cerebral infarction.
RESULTS: Stronger enhanced plaques were associated with downstream lower MTT-ASPECTS (P = 0.010). Plaque enhancement grade (P = 0.039, odds ratio [OR] 5.9, 95% confidence interval [CI] 1.1-32) and MTT-ASPECTS (P = 0.003, OR 2.6, 95% CI 1.4-4.7) were associated with a recent cerebral infarction, whereas luminal stenosis grade was not (P = 0.128). The combination of MTT-ASPECTS and plaque enhancement grade provided incremental information beyond luminal stenosis grade alone. The area under the receiver operating characteristic curve (AUC) improved from 0.535 to 0.921 (P < 0.05). DATA CONCUSION: Strongly enhanced plaques are associated with a higher likelihood of downstream perfusion impairment. Plaque enhancement and perfusion evaluation may play a complementary role to luminal stenosis in determining the occurrence of acute cerebral infarction. LEVEL OF EVIDENCE: 4 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2017.
© 2017 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  atherosclerosis; cerebral infarction; magnetic resonance imaging; middle cerebral artery; perfusion

Mesh:

Substances:

Year:  2017        PMID: 29083523     DOI: 10.1002/jmri.25879

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  12 in total

1.  Association of Fractional Flow on 3D-TOF-MRA with Cerebral Perfusion in Patients with MCA Stenosis.

Authors:  X Ge; H Zhao; Z Zhou; X Li; B Sun; H Wu; J Wan; J Xu; J P Villablanca; X Liu
Journal:  AJNR Am J Neuroradiol       Date:  2019-06-13       Impact factor: 3.825

2.  Identification of high-risk intracranial plaques with 3D high-resolution magnetic resonance imaging-based radiomics and machine learning.

Authors:  Hongxia Li; Jia Liu; Zheng Dong; Xingzhi Chen; Changsheng Zhou; Chencui Huang; Yingle Li; Quanhui Liu; Xiaoqin Su; Xiaoqing Cheng; Guangming Lu
Journal:  J Neurol       Date:  2022-08-11       Impact factor: 6.682

Review 3.  Application and interpretation of vessel wall magnetic resonance imaging for intracranial atherosclerosis: a narrative review.

Authors:  Fangbing Li; Yilin Wang; Tianxiang Hu; Yejun Wu
Journal:  Ann Transl Med       Date:  2022-06

4.  Plaque characteristics and hemodynamics contribute to neurological impairment in patients with ischemic stroke and transient ischemic attack.

Authors:  Song Liu; Ruowei Tang; Weiwei Xie; Shengting Chai; Qingqing Zhang; Yu Luo; Yu Guo; Chao Chai; Lixiang Huang; Meizhu Zheng; Jinxia Zhu; Binge Chang; Qi Yang; Song Jin; Zhaoyang Fan; Shuang Xia
Journal:  Eur Radiol       Date:  2020-09-30       Impact factor: 5.315

5.  Comparison of 3D T1-SPACE and DSA in evaluation of intracranial in-stent restenosis.

Authors:  Qiuji Shao; Qiang Li; Qiaowei Wu; Tianxiao Li; Li Li; Kaitao Chang
Journal:  Br J Radiol       Date:  2020-12-01       Impact factor: 3.039

6.  Vessel Wall Magnetic Resonance Imaging Biomarkers of Symptomatic Intracranial Atherosclerosis: A Meta-Analysis.

Authors:  Jae W Song; Athanasios Pavlou; Jiayu Xiao; Scott E Kasner; Zhaoyang Fan; Steven R Messé
Journal:  Stroke       Date:  2020-12-02       Impact factor: 7.914

7.  Assessing the characteristics and diagnostic value of plaques for patients with acute stroke using high-resolution magnetic resonance imaging.

Authors:  Danfeng Zhang; Mi Wang; Lili Wu; Ying Zhao; Siyu Wang; Xindao Yin; Xinying Wu
Journal:  Quant Imaging Med Surg       Date:  2022-02

8.  Evaluation of non-stenotic carotid atherosclerotic plaques with combined FDG-PET imaging and CT angiography in patients with ischemic stroke of unknown origin.

Authors:  Pierre Amarenco; Fabien Hyafil; Nidaa Mikail; Elena Meseguer; Philippa Lavallée; Isabelle Klein; Cristina Hobeanu; Céline Guidoux; Lucie Cabrejo; Guy Lesèche
Journal:  J Nucl Cardiol       Date:  2021-01-18       Impact factor: 3.872

9.  Imaging endpoints of intracranial atherosclerosis using vessel wall MR imaging: a systematic review.

Authors:  Jae W Song; Athanasios Pavlou; Morgan P Burke; Haochang Shou; Kofi-Buaku Atsina; Jiayu Xiao; Laurie A Loevner; David Mankoff; Zhaoyang Fan; Scott E Kasner
Journal:  Neuroradiology       Date:  2020-10-07       Impact factor: 2.995

10.  Usefulness of 3D T1-SPACE in Combination With 3D-TOF MRA for Follow-Up Evaluation of Intracranial Aneurysms Treated With Pipeline Embolization Devices.

Authors:  Qiuji Shao; Qiaowei Wu; Qiang Li; Tianxiao Li; Li Li; Kaitao Chang; Meiyun Wang
Journal:  Front Neurol       Date:  2020-12-11       Impact factor: 4.003

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.