烟雾病的高分辨率血管壁MRI:诊断和预后应用的系统回顾和荟萃分析。

IF 2.4 3区 医学 Q2 CLINICAL NEUROLOGY
Maryam Shahabi, Negar Zareshahi, Iman Kiani, Mahdi Gouravani, Alireza Beikmarzehei, Yalda Farahmand, Ehsan Ranjbar, Armin Tafazolimoghadam, Mohammadamin Parsaei, Hossein Sanjari Moghaddam, Alejandro M Spiotta
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引用次数: 0

摘要

目的:烟雾病(MMD)是一种罕见的脑血管疾病,其特征是脑底部动脉狭窄。虽然脑血管造影是诊断的金标准,但高分辨率血管壁磁共振成像(VW-MRI)最近已成为一种非侵入性诊断工具。这篇系统的综述旨在提供VW-MRI在提高烟雾病的诊断和治疗中的作用。方法:系统检索PubMed、Embase、Scopus、Web of Science于2023年12月5日的相关文章。提取人口统计学数据、血管外径、血管壁造影增强(VW-CE)及其模式、血管壁增厚及其模式、重塑指数、血管面积。在分析中,比例使用随机效应模型和logit变换进行合并。使用纽卡斯尔-渥太华量表进行质量评估。结果:在初步检索的6035项研究中,有19项符合纳入标准。在回顾的研究中,使用VW-MRI最常报道的烟雾病患者的变异是VW-CE(84.21%)及其模式(52.63%)。烟雾病中强化病变的总发生率为0.55 (95% CI: 0.29-0.79),同心病变的发生率为0.98 (95% CI: 0.72-1.00, I²:37%)。三项研究的重塑指数汇总估计为0.41 (95% CI: 0.11-0.72, I²:99%)。讨论:VW-MRI是一种很有前途的非侵入性工具,用于增强烟雾病的诊断,可能有助于疾病分化和预测并发症。然而,标准化和进一步的研究对于巩固VW-MRI的作用至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High-resolution vessel wall MRI in Moyamoya disease: a systematic review and meta-analysis of diagnostic and prognostic applications.

Purpose: Moyamoya disease (MMD) is a rare cerebrovascular disorder characterized by the narrowing of arteries at the brain's base. While cerebral angiography is the gold standard for diagnosis, high-resolution vessel wall magnetic resonance imaging (VW-MRI) has recently emerged as a non-invasive diagnostic tool. This systematic review aims to provide insights into the role of VW-MRI in enhancing the diagnosis and management of MMD.

Method: A systematic search was conducted in PubMed, Embase, Scopus, and Web of Science for relevant articles on December 5, 2023. Demographic data, the outer diameter of the vessel, vessel wall contrast enhancement (VW-CE) and its pattern, vessel wall thickening and its pattern, remodeling index, and vessel area were extracted. In the analysis proportions were pooled using a random-effects model with logit transformation where applicable. Quality assessment was conducted using the Newcastle-Ottawa scale.

Result: Of the 6035 identified studies in the primary search, 19 met the inclusion criteria. Among the reviewed studies, the most commonly reported variations in patients with MMD using VW-MRI was VW-CE (84.21%) and its pattern (52.63%). The pooled prevalence of enhanced lesions in MMD was 0.55 (95% CI: 0.29-0.79), with ratio of concentric lesions being 0.98 (95% CI: 0.72-1.00, I²: 37%). The remodeling index across three studies showed a pooled estimate of 0.41 (95% CI: 0.11-0.72, I²: 99%).

Discussion: VW-MRI emerges as a promising non-invasive tool for enhancing diagnosis of MMD, potentially aiding in disease differentiation and predicting complications. However, standardization and further research are essential to solidify VW-MRI's role.

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来源期刊
Neuroradiology
Neuroradiology 医学-核医学
CiteScore
5.30
自引率
3.60%
发文量
214
审稿时长
4-8 weeks
期刊介绍: Neuroradiology aims to provide state-of-the-art medical and scientific information in the fields of Neuroradiology, Neurosciences, Neurology, Psychiatry, Neurosurgery, and related medical specialities. Neuroradiology as the official Journal of the European Society of Neuroradiology receives submissions from all parts of the world and publishes peer-reviewed original research, comprehensive reviews, educational papers, opinion papers, and short reports on exceptional clinical observations and new technical developments in the field of Neuroimaging and Neurointervention. The journal has subsections for Diagnostic and Interventional Neuroradiology, Advanced Neuroimaging, Paediatric Neuroradiology, Head-Neck-ENT Radiology, Spine Neuroradiology, and for submissions from Japan. Neuroradiology aims to provide new knowledge about and insights into the function and pathology of the human nervous system that may help to better diagnose and treat nervous system diseases. Neuroradiology is a member of the Committee on Publication Ethics (COPE) and follows the COPE core practices. Neuroradiology prefers articles that are free of bias, self-critical regarding limitations, transparent and clear in describing study participants, methods, and statistics, and short in presenting results. Before peer-review all submissions are automatically checked by iThenticate to assess for potential overlap in prior publication.
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