Overview of multimodal MRI of intracranial Dural arteriovenous fistulas

Xi Chen , Liang Ge , Hailin Wan, Lei Huang, Yeqing Jiang, Gang Lu, Xiaolong Zhang
{"title":"Overview of multimodal MRI of intracranial Dural arteriovenous fistulas","authors":"Xi Chen ,&nbsp;Liang Ge ,&nbsp;Hailin Wan,&nbsp;Lei Huang,&nbsp;Yeqing Jiang,&nbsp;Gang Lu,&nbsp;Xiaolong Zhang","doi":"10.1016/j.jimed.2022.04.004","DOIUrl":null,"url":null,"abstract":"<div><p>Dural arteriovenous fistulas (DAVFs) include a wide range of pathological conditions that are associated with intracranial vessel abnormalities. While some types of DAVFs present with typical neuroimaging characteristics, others share overlapping pathological and neuroimaging features that can hinder accurate differentiation. Hence, misclassification of the various types of DAVFs is common. Thorough knowledge of DAVF imaging findings is essential to avoid such misinterpretations. Traditional digital subtraction angiography (DSA) is considered the gold standard for diagnosing and evaluating DAVFs. However, angiography cannot detect changes in a patient's brain structure. Conventional magnetic resonance imaging (MRI) sequences, including MR angiography (MRA), allow the evaluation of DAVFs without ionizing radiation or invasiveness. Advanced MRI techniques, such as susceptibility-weighted imaging (SWI) and dynamic contrast-enhanced MRA, provide added value to real-time physio-pathological data regarding the hemodynamics of DAVFs. Beyond these techniques, new insights using high-resolution vascular wall MRI are incorporated for the noninvasive evaluation of DAVFs. This article reviews the pathophysiology of DAVFs, focusing on the specifics of MRI findings that facilitate their classification. The role of conventional and advanced MRI sequences for DAVFs was assessed using insights derived from the data provided by structured reports of multimodal MRIs to evaluate DAVFs.</p></div>","PeriodicalId":33533,"journal":{"name":"Journal of Interventional Medicine","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/b5/a6/main.PMC9751222.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Interventional Medicine","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2096360222000321","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

Abstract

Dural arteriovenous fistulas (DAVFs) include a wide range of pathological conditions that are associated with intracranial vessel abnormalities. While some types of DAVFs present with typical neuroimaging characteristics, others share overlapping pathological and neuroimaging features that can hinder accurate differentiation. Hence, misclassification of the various types of DAVFs is common. Thorough knowledge of DAVF imaging findings is essential to avoid such misinterpretations. Traditional digital subtraction angiography (DSA) is considered the gold standard for diagnosing and evaluating DAVFs. However, angiography cannot detect changes in a patient's brain structure. Conventional magnetic resonance imaging (MRI) sequences, including MR angiography (MRA), allow the evaluation of DAVFs without ionizing radiation or invasiveness. Advanced MRI techniques, such as susceptibility-weighted imaging (SWI) and dynamic contrast-enhanced MRA, provide added value to real-time physio-pathological data regarding the hemodynamics of DAVFs. Beyond these techniques, new insights using high-resolution vascular wall MRI are incorporated for the noninvasive evaluation of DAVFs. This article reviews the pathophysiology of DAVFs, focusing on the specifics of MRI findings that facilitate their classification. The role of conventional and advanced MRI sequences for DAVFs was assessed using insights derived from the data provided by structured reports of multimodal MRIs to evaluate DAVFs.

Abstract Image

Abstract Image

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
颅内硬脑膜动静脉瘘的多模态MRI研究综述
硬脑膜动静脉瘘(davf)包括与颅内血管异常相关的多种病理情况。虽然某些类型的davf具有典型的神经影像学特征,但其他类型的davf具有重叠的病理和神经影像学特征,这可能会妨碍准确的鉴别。因此,各种类型的davf的错误分类是常见的。彻底了解DAVF成像结果是必要的,以避免这种误解。传统的数字减影血管造影(DSA)被认为是诊断和评估davf的金标准。然而,血管造影不能检测到患者大脑结构的变化。传统的磁共振成像(MRI)序列,包括磁共振血管造影(MRA),可以在没有电离辐射或侵入性的情况下评估davf。先进的MRI技术,如敏感性加权成像(SWI)和动态对比增强MRA,为davf血流动力学的实时生理病理数据提供了附加价值。除了这些技术之外,利用高分辨率血管壁MRI对davf进行无创评估的新见解也被纳入其中。本文回顾了davf的病理生理学,重点介绍了有助于其分类的MRI具体表现。利用多模态MRI结构化报告提供的数据来评估davf,评估常规和高级MRI序列对davf的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Interventional Medicine
Journal of Interventional Medicine Medicine-General Medicine
CiteScore
1.30
自引率
0.00%
发文量
32
审稿时长
68 days
期刊最新文献
Baseline parameters of spectral CT could predict tumor response to transcatheter arterial chemoembolization in hepatocellular carcinoma patients Validation of the CRAFITY score for predicting prognosis in patients with hepatocellular carcinoma undergoing transarterial chemoembolization combined with systemic therapy Diagnostic radiology: The essential for effective and safe practice of interventional radiology Percutaneous radiofrequency and microwave ablation for renal pelvic urothelial carcinoma with refractory hematuria: A case report Combination of transarterial radioembolization with atezolizumab and bevacizumab for intermediate and advanced staged hepatocellular carcinoma: A preliminary report of safety and feasibility
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1