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基于 MRI 和发病机制的急性大血管闭塞性缺血性卒中新型影像病因分类的回顾性分析。

A retrospective analysis of a newly proposed imaging-etiologic classification for acute ischemic stroke with large vascular occlusion based on MRI and pathogenesis.

机构信息

Department of Cerebrovascular Disease, Zhengzhou University People's Hospital & Henan Provincial People's Hospital, Zhengzhou, Henan, China.

Department of Clinical Medical Research Center, Zhengzhou University People's Hospital & Henan Provincial People's Hospital, Zhengzhou, Henan, China.

出版信息

PeerJ. 2024 Oct 24;12:e18342. doi: 10.7717/peerj.18342. eCollection 2024.

DOI:10.7717/peerj.18342
PMID:39465175
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11512804/
Abstract

BACKGROUND

Endovascular treatment (EVT) has emerged as the preferred initial therapeutic option for acute ischemic stroke (AIS) with large vascular occlusion (LVO). To facilitate more targeted EVT interventions, we propose a novel imaging-etiologic classification system derived from a comprehensive analysis of preoperative MRI and pathogenesis in AIS patients.

METHODS

From June 2020 to December 2021, a retrospective analysis was conducted on 184 consecutive AIS patients who underwent preoperative MRI and subsequent EVT at the Henan Provincial Cerebrovascular Hospital Stroke Center. Patients' medical histories were comprehensively reviewed. According to MRI, anterior circulation infarction (ACI) and posterior circulation infarction (PCI) were divided into four groups respectively (A-D & a-d). Three types (1-3) of etiology were identified based on pathogenesis. The types were respectively evaluated by screening test with intra-operative finding of EVT.

RESULTS

Our imaging-etiologic classification achieved an overall positive rate of 90.2% (166/184) when compared to the gold standard. The screening test for each type demonstrated excellent validity (Youden's index ≥ 0.75) and reliability (Kappa ≥ 0.80).

CONCLUSION

The imaging-etiologic classification represents a simple yet comprehensive approach that can be readily applied in the management of AIS with LVO. It can rapidly and effectively locate the vascular occlusion, and reveal the pathogenesis.

摘要

背景

血管内治疗(EVT)已成为伴有大血管闭塞(LVO)的急性缺血性脑卒中(AIS)的首选初始治疗选择。为了促进更有针对性的 EVT 干预,我们提出了一种新的基于术前 MRI 和 AIS 患者发病机制的综合分析的影像学病因分类系统。

方法

回顾性分析了 2020 年 6 月至 2021 年 12 月在河南省脑血管病医院卒中中心接受术前 MRI 和随后 EVT 的 184 例连续 AIS 患者。全面回顾了患者的病史。根据 MRI,前循环梗死(ACI)和后循环梗死(PCI)分别分为四组(A-D 和 a-d)。根据发病机制确定了三种病因类型(1-3)。术中 EVT 发现对每种类型分别进行筛选试验评估。

结果

与金标准相比,我们的影像学病因分类的总体阳性率为 90.2%(166/184)。每种类型的筛选试验均具有优异的有效性(Youden 指数≥0.75)和可靠性(Kappa≥0.80)。

结论

影像学病因分类是一种简单而全面的方法,可在伴有 LVO 的 AIS 管理中快速有效地定位血管闭塞并揭示发病机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0aa/11512804/41c4aaaeb893/peerj-12-18342-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0aa/11512804/bf4016301758/peerj-12-18342-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0aa/11512804/3c59810b29e6/peerj-12-18342-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0aa/11512804/78804ff2520c/peerj-12-18342-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0aa/11512804/41c4aaaeb893/peerj-12-18342-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0aa/11512804/bf4016301758/peerj-12-18342-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0aa/11512804/3c59810b29e6/peerj-12-18342-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0aa/11512804/78804ff2520c/peerj-12-18342-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0aa/11512804/41c4aaaeb893/peerj-12-18342-g004.jpg

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