新型SSEP分析方法检测围手术期卒中。

Michael E Kelly, Lissa Peeling, Jonathan Norton
{"title":"新型SSEP分析方法检测围手术期卒中。","authors":"Michael E Kelly,&nbsp;Lissa Peeling,&nbsp;Jonathan Norton","doi":"10.1097/WNP.0000000000000824","DOIUrl":null,"url":null,"abstract":"<p><strong>Summary: </strong>Using a previously described technique that measures the \"velocity\" of the upswing of the median nerve SSEP, we identified an ischemic event during a carotid surgery that did not meet traditional alarm criteria. Mechanical thrombectomy successfully removed a thrombus, and the patient experienced a good recovery. Analysis of the SSEP waveform may allow for the detection of events missed with traditional alarm criteria.</p>","PeriodicalId":117726,"journal":{"name":"Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society","volume":" ","pages":"e17-e18"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Perioperative Stroke Detected Using Novel SSEP Analysis.\",\"authors\":\"Michael E Kelly,&nbsp;Lissa Peeling,&nbsp;Jonathan Norton\",\"doi\":\"10.1097/WNP.0000000000000824\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Summary: </strong>Using a previously described technique that measures the \\\"velocity\\\" of the upswing of the median nerve SSEP, we identified an ischemic event during a carotid surgery that did not meet traditional alarm criteria. Mechanical thrombectomy successfully removed a thrombus, and the patient experienced a good recovery. Analysis of the SSEP waveform may allow for the detection of events missed with traditional alarm criteria.</p>\",\"PeriodicalId\":117726,\"journal\":{\"name\":\"Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society\",\"volume\":\" \",\"pages\":\"e17-e18\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1097/WNP.0000000000000824\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/WNP.0000000000000824","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

摘要:使用先前描述的测量正中神经SSEP上升“速度”的技术,我们确定了颈动脉手术期间不符合传统报警标准的缺血事件。机械取栓术成功取出血栓,患者恢复良好。分析SSEP波形可以检测传统报警标准错过的事件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Perioperative Stroke Detected Using Novel SSEP Analysis.

Summary: Using a previously described technique that measures the "velocity" of the upswing of the median nerve SSEP, we identified an ischemic event during a carotid surgery that did not meet traditional alarm criteria. Mechanical thrombectomy successfully removed a thrombus, and the patient experienced a good recovery. Analysis of the SSEP waveform may allow for the detection of events missed with traditional alarm criteria.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信