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Quantitative assessment of symptomatic intracranial atherosclerosis and lenticulostriate arteries in recent stroke patients using whole-brain high-resolution cardiovascular magnetic resonance imaging

BACKGROUND: It has been shown that intracranial atherosclerotic stenosis (ICAS) has heterogeneous features in terms of plaque instability and vascular remodeling. Therefore, quantitative information on the changes of intracranial atherosclerosis and lenticulostriate arteries (LSAs) may potentially i...

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Autores principales: Wang, Mengnan, Wu, Fang, Yang, Yujiao, Miao, Huijuan, Fan, Zhaoyang, Ji, Xunming, Li, Debiao, Guo, Xiuhai, Yang, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5992765/
https://www.ncbi.nlm.nih.gov/pubmed/29880054
http://dx.doi.org/10.1186/s12968-018-0465-8
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author Wang, Mengnan
Wu, Fang
Yang, Yujiao
Miao, Huijuan
Fan, Zhaoyang
Ji, Xunming
Li, Debiao
Guo, Xiuhai
Yang, Qi
author_facet Wang, Mengnan
Wu, Fang
Yang, Yujiao
Miao, Huijuan
Fan, Zhaoyang
Ji, Xunming
Li, Debiao
Guo, Xiuhai
Yang, Qi
author_sort Wang, Mengnan
collection PubMed
description BACKGROUND: It has been shown that intracranial atherosclerotic stenosis (ICAS) has heterogeneous features in terms of plaque instability and vascular remodeling. Therefore, quantitative information on the changes of intracranial atherosclerosis and lenticulostriate arteries (LSAs) may potentially improve understanding of the pathophysiological mechanisms underlying stroke and may guide the treatment and work-up strategies. Our present study aimed to use a novel whole-brain high-resolution cardiovascular magnetic resonance imaging (WB-HRCMR) to assess both ICAS plaques and LSAs in recent stroke patients. METHODS: Twenty-nine symptomatic and 23 asymptomatic ICAS patients were enrolled in this study from Jan 2015 through Sep 2017 and all patients underwent WB-HRCMR. Intracranial atherosclerotic plaque burden, plaque enhancement volume, plaque enhancement index, as well as the number and length of LSAs were evaluated in two groups. Enhancement index was calculated as follows: ([Signal intensity (SI)(plaque)/SI(normal wall) on post-contrast imaging] − [SI(plaque)/SI(normal wall) on matched pre-contrast imaging])/(SI(plaque) / SI(normal wall) on matched pre-contrast imaging). Logistic regression analysis was used to investigate the independent high risk plaque and LSAs features associated with stroke. RESULTS: Symptomatic ICAS patients exhibited larger enhancement plaque volume (20.70 ± 3.07 mm(3) vs. 6.71 ± 1.87 mm(3) P = 0.001) and higher enhancement index (0.44 ± 0.08 vs. 0.09 ± 0.06 P = 0.001) compared with the asymptomatic ICAS. The average length of LSAs in symptomatic ICAS (20.95 ± 0.87 mm) was shorter than in asymptomatic ICAS (24.04 ± 0.95 mm) (P = 0.02). Regression analysis showed that the enhancement index (100.43, 95% CI − 4.02-2510.96; P = 0.005) and the average length of LSAs (0.80, 95% CI − 0.65-0.99; P = 0.036) were independent factors for predicting of stroke. CONCLUSION: WB-HRCMR enabled the comprehensive quantitative evaluation of intracranial atherosclerotic lesions and perforating arteries. Symptomatic ICAS had distinct plaque characteristics and shorter LSA length compared with asymptomatic ICAS.
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spelling pubmed-59927652018-07-05 Quantitative assessment of symptomatic intracranial atherosclerosis and lenticulostriate arteries in recent stroke patients using whole-brain high-resolution cardiovascular magnetic resonance imaging Wang, Mengnan Wu, Fang Yang, Yujiao Miao, Huijuan Fan, Zhaoyang Ji, Xunming Li, Debiao Guo, Xiuhai Yang, Qi J Cardiovasc Magn Reson Research BACKGROUND: It has been shown that intracranial atherosclerotic stenosis (ICAS) has heterogeneous features in terms of plaque instability and vascular remodeling. Therefore, quantitative information on the changes of intracranial atherosclerosis and lenticulostriate arteries (LSAs) may potentially improve understanding of the pathophysiological mechanisms underlying stroke and may guide the treatment and work-up strategies. Our present study aimed to use a novel whole-brain high-resolution cardiovascular magnetic resonance imaging (WB-HRCMR) to assess both ICAS plaques and LSAs in recent stroke patients. METHODS: Twenty-nine symptomatic and 23 asymptomatic ICAS patients were enrolled in this study from Jan 2015 through Sep 2017 and all patients underwent WB-HRCMR. Intracranial atherosclerotic plaque burden, plaque enhancement volume, plaque enhancement index, as well as the number and length of LSAs were evaluated in two groups. Enhancement index was calculated as follows: ([Signal intensity (SI)(plaque)/SI(normal wall) on post-contrast imaging] − [SI(plaque)/SI(normal wall) on matched pre-contrast imaging])/(SI(plaque) / SI(normal wall) on matched pre-contrast imaging). Logistic regression analysis was used to investigate the independent high risk plaque and LSAs features associated with stroke. RESULTS: Symptomatic ICAS patients exhibited larger enhancement plaque volume (20.70 ± 3.07 mm(3) vs. 6.71 ± 1.87 mm(3) P = 0.001) and higher enhancement index (0.44 ± 0.08 vs. 0.09 ± 0.06 P = 0.001) compared with the asymptomatic ICAS. The average length of LSAs in symptomatic ICAS (20.95 ± 0.87 mm) was shorter than in asymptomatic ICAS (24.04 ± 0.95 mm) (P = 0.02). Regression analysis showed that the enhancement index (100.43, 95% CI − 4.02-2510.96; P = 0.005) and the average length of LSAs (0.80, 95% CI − 0.65-0.99; P = 0.036) were independent factors for predicting of stroke. CONCLUSION: WB-HRCMR enabled the comprehensive quantitative evaluation of intracranial atherosclerotic lesions and perforating arteries. Symptomatic ICAS had distinct plaque characteristics and shorter LSA length compared with asymptomatic ICAS. BioMed Central 2018-06-07 /pmc/articles/PMC5992765/ /pubmed/29880054 http://dx.doi.org/10.1186/s12968-018-0465-8 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Wang, Mengnan
Wu, Fang
Yang, Yujiao
Miao, Huijuan
Fan, Zhaoyang
Ji, Xunming
Li, Debiao
Guo, Xiuhai
Yang, Qi
Quantitative assessment of symptomatic intracranial atherosclerosis and lenticulostriate arteries in recent stroke patients using whole-brain high-resolution cardiovascular magnetic resonance imaging
title Quantitative assessment of symptomatic intracranial atherosclerosis and lenticulostriate arteries in recent stroke patients using whole-brain high-resolution cardiovascular magnetic resonance imaging
title_full Quantitative assessment of symptomatic intracranial atherosclerosis and lenticulostriate arteries in recent stroke patients using whole-brain high-resolution cardiovascular magnetic resonance imaging
title_fullStr Quantitative assessment of symptomatic intracranial atherosclerosis and lenticulostriate arteries in recent stroke patients using whole-brain high-resolution cardiovascular magnetic resonance imaging
title_full_unstemmed Quantitative assessment of symptomatic intracranial atherosclerosis and lenticulostriate arteries in recent stroke patients using whole-brain high-resolution cardiovascular magnetic resonance imaging
title_short Quantitative assessment of symptomatic intracranial atherosclerosis and lenticulostriate arteries in recent stroke patients using whole-brain high-resolution cardiovascular magnetic resonance imaging
title_sort quantitative assessment of symptomatic intracranial atherosclerosis and lenticulostriate arteries in recent stroke patients using whole-brain high-resolution cardiovascular magnetic resonance imaging
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5992765/
https://www.ncbi.nlm.nih.gov/pubmed/29880054
http://dx.doi.org/10.1186/s12968-018-0465-8
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