Approaches to classification of microembolic signals in patients recovering from ischemic stroke

Ekaterina V. Orlova, Alexandr B. Berdalin, Vladimir G. Lelyuk
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 The aim of the study is to investigate biophysical MES parameters in patients with ischemic stroke, as well as to assess approaches to microemboli differentiation by structure and origin to improve the diagnostic accuracy of the method and to reduce the risk of recurrent ischemic events.
 Materials and methods. The inclusion criterion was TCD-detected signs of MES. We analyzed the data of 28 patients with ischemic stroke (9 women and 19 men; mean age was 58 years 13). We recorded power, duration, and frequency for each MES, and calculated an energy index.
 Results. A total of 938 MES were reported. In patients with cardioembolic stroke and all other pathogenetic stroke subtypes, biophysical parameter limits were as follows: 14.65 dB for the average power, 9.45 ms for the average duration, and 0.16 J for the average energy index. For patients with atrial fibrillation, characteristic MES power was found to be 13 dB. The MES frequency limit was determined to be 650 Hz for microemboli differentiation by acoustic density.
 Conclusion. The data obtained can be used to further search for optimal limit ranges for biophysical parameters of various MES in order to establish a single MES classification, which will increase the diagnostic value of microembolus detection by TCD in stroke treatment practice.","PeriodicalId":36946,"journal":{"name":"Annals of Clinical and Experimental Neurology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Clinical and Experimental Neurology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54101/acen.2023.3.9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Multidisciplinary","Score":null,"Total":0}
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Abstract

Introduction. Microembolus detection by transcranial Doppler (TCD) is the only non-invasive modality for visualization of cerebral embolism. Currently, there is no unified classification of recorded microembolic signals (MES) that could be used in clinical practice. The aim of the study is to investigate biophysical MES parameters in patients with ischemic stroke, as well as to assess approaches to microemboli differentiation by structure and origin to improve the diagnostic accuracy of the method and to reduce the risk of recurrent ischemic events. Materials and methods. The inclusion criterion was TCD-detected signs of MES. We analyzed the data of 28 patients with ischemic stroke (9 women and 19 men; mean age was 58 years 13). We recorded power, duration, and frequency for each MES, and calculated an energy index. Results. A total of 938 MES were reported. In patients with cardioembolic stroke and all other pathogenetic stroke subtypes, biophysical parameter limits were as follows: 14.65 dB for the average power, 9.45 ms for the average duration, and 0.16 J for the average energy index. For patients with atrial fibrillation, characteristic MES power was found to be 13 dB. The MES frequency limit was determined to be 650 Hz for microemboli differentiation by acoustic density. Conclusion. The data obtained can be used to further search for optimal limit ranges for biophysical parameters of various MES in order to establish a single MES classification, which will increase the diagnostic value of microembolus detection by TCD in stroke treatment practice.
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缺血性脑卒中恢复期微栓塞信号的分类方法
介绍。经颅多普勒(TCD)检测微栓子是脑栓塞可视化的唯一非侵入性方法。目前,对记录的微栓塞信号(MES)没有统一的分类,无法用于临床实践。 本研究的目的是研究缺血性卒中患者的生物物理MES参数,并通过结构和来源评估微栓子分化的方法,以提高该方法的诊断准确性,降低复发性缺血性事件的风险。 材料和方法。纳入标准为tcd检测到的MES体征。我们分析了28例缺血性脑卒中患者的资料(女性9例,男性19例;平均年龄58岁(13)。我们记录了每个MES的功率、持续时间和频率,并计算了能量指数。 结果。报告了938例MES。在心源性卒中和所有其他致病性卒中亚型患者中,生物物理参数极限如下:平均功率14.65 dB,平均持续时间9.45 ms,平均能量指数0.16 J。心房颤动患者的特征性MES功率为13 dB。声学密度测定微栓子分化的MES频率上限为650 Hz。 结论。所得数据可用于进一步寻找各种MES生物物理参数的最佳极限值,建立单一MES分类,提高TCD检测微栓子在脑卒中治疗实践中的诊断价值。
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来源期刊
Annals of Clinical and Experimental Neurology
Annals of Clinical and Experimental Neurology Medicine-Neurology (clinical)
CiteScore
0.80
自引率
0.00%
发文量
32
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