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High-resolution magnetic resonance imaging for predicting successful recanalization in patients with chronic internal carotid artery occlusion

OBJECTIVE: The main aim of the study was to investigate the predictive factors of high-resolution magnetic resonance imaging (HR-MRI) for successful recanalization in patients with chronic internal carotid artery occlusion (CICAO). METHODS: We included 41 consecutive patients who had CICAO and under...

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Autores principales: Zhang, Xuan, Zhou, Chun, Cao, Yue-zhou, Su, Chun-qiu, Shi, Hai-bin, Lu, Shan-shan, Liu, Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9475072/
https://www.ncbi.nlm.nih.gov/pubmed/36119711
http://dx.doi.org/10.3389/fneur.2022.1003800
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author Zhang, Xuan
Zhou, Chun
Cao, Yue-zhou
Su, Chun-qiu
Shi, Hai-bin
Lu, Shan-shan
Liu, Sheng
author_facet Zhang, Xuan
Zhou, Chun
Cao, Yue-zhou
Su, Chun-qiu
Shi, Hai-bin
Lu, Shan-shan
Liu, Sheng
author_sort Zhang, Xuan
collection PubMed
description OBJECTIVE: The main aim of the study was to investigate the predictive factors of high-resolution magnetic resonance imaging (HR-MRI) for successful recanalization in patients with chronic internal carotid artery occlusion (CICAO). METHODS: We included 41 consecutive patients who had CICAO and underwent recanalization attempts. The demographics, clinical data, and HR-MRI features in relation to the technique success were collected and analyzed using univariate and multivariate analyses. A score-based prediction model was constructed using a regression coefficient-based scoring method. RESULTS: Technical success was achieved in 26 (63.4%) patients, with a complication rate of 12.2% (5/41). Based on multivariate analysis, occlusions involving ophthalmic artery segment (C6) or above (OR: 0.036; 95% confidence interval [CI]: 0.004–0.336) and nontapered stump (OR: 0.064; 95% CI: 0.007–0.591) were identified as independent negative predictors of successful recanalization in patients with CICAO. Point scores were assigned according to the model coefficients, and the patients who scored 0, 1, or 2 points had success rates of 93.33% (14/15), 66.67% (12/18), or 0% (0/8), respectively. CONCLUSION: HR-MRI characteristics may be valuable in identifying candidates for endovascular recanalization in patients with CICAO. Occlusions involving the C6 segment or higher, as well as nontapered stumps, were independent negative predictors of technical success.
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spelling pubmed-94750722022-09-16 High-resolution magnetic resonance imaging for predicting successful recanalization in patients with chronic internal carotid artery occlusion Zhang, Xuan Zhou, Chun Cao, Yue-zhou Su, Chun-qiu Shi, Hai-bin Lu, Shan-shan Liu, Sheng Front Neurol Neurology OBJECTIVE: The main aim of the study was to investigate the predictive factors of high-resolution magnetic resonance imaging (HR-MRI) for successful recanalization in patients with chronic internal carotid artery occlusion (CICAO). METHODS: We included 41 consecutive patients who had CICAO and underwent recanalization attempts. The demographics, clinical data, and HR-MRI features in relation to the technique success were collected and analyzed using univariate and multivariate analyses. A score-based prediction model was constructed using a regression coefficient-based scoring method. RESULTS: Technical success was achieved in 26 (63.4%) patients, with a complication rate of 12.2% (5/41). Based on multivariate analysis, occlusions involving ophthalmic artery segment (C6) or above (OR: 0.036; 95% confidence interval [CI]: 0.004–0.336) and nontapered stump (OR: 0.064; 95% CI: 0.007–0.591) were identified as independent negative predictors of successful recanalization in patients with CICAO. Point scores were assigned according to the model coefficients, and the patients who scored 0, 1, or 2 points had success rates of 93.33% (14/15), 66.67% (12/18), or 0% (0/8), respectively. CONCLUSION: HR-MRI characteristics may be valuable in identifying candidates for endovascular recanalization in patients with CICAO. Occlusions involving the C6 segment or higher, as well as nontapered stumps, were independent negative predictors of technical success. Frontiers Media S.A. 2022-09-01 /pmc/articles/PMC9475072/ /pubmed/36119711 http://dx.doi.org/10.3389/fneur.2022.1003800 Text en Copyright © 2022 Zhang, Zhou, Cao, Su, Shi, Lu and Liu. https://creativecommons.org/licenses/by/4.0/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) and the copyright owner(s) 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.
spellingShingle Neurology
Zhang, Xuan
Zhou, Chun
Cao, Yue-zhou
Su, Chun-qiu
Shi, Hai-bin
Lu, Shan-shan
Liu, Sheng
High-resolution magnetic resonance imaging for predicting successful recanalization in patients with chronic internal carotid artery occlusion
title High-resolution magnetic resonance imaging for predicting successful recanalization in patients with chronic internal carotid artery occlusion
title_full High-resolution magnetic resonance imaging for predicting successful recanalization in patients with chronic internal carotid artery occlusion
title_fullStr High-resolution magnetic resonance imaging for predicting successful recanalization in patients with chronic internal carotid artery occlusion
title_full_unstemmed High-resolution magnetic resonance imaging for predicting successful recanalization in patients with chronic internal carotid artery occlusion
title_short High-resolution magnetic resonance imaging for predicting successful recanalization in patients with chronic internal carotid artery occlusion
title_sort high-resolution magnetic resonance imaging for predicting successful recanalization in patients with chronic internal carotid artery occlusion
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9475072/
https://www.ncbi.nlm.nih.gov/pubmed/36119711
http://dx.doi.org/10.3389/fneur.2022.1003800
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