首页> 外文期刊>Microcirculation: The official journal of the Microcirculatory Society >A new complimentary web‐based tool for manual analysis of microcirculation videos: Validation of the Capillary Mapper against the current gold standard AVA AVA 3.2
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A new complimentary web‐based tool for manual analysis of microcirculation videos: Validation of the Capillary Mapper against the current gold standard AVA AVA 3.2

机译:用于微循环视频的手动分析的新的基于Web的基于Web的工具:验证毛细管映射器对当前的金标准AVA 3.2

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Abstract Objective The aim of the current study was to compare a newly developed web‐based freely accessible software program for manual analysis of the microcirculation, the Capillary Mapper ( CM ), with AVA 3.2 software ( AVA ; MicroVision Medical B.V., Amsterdam, The Netherlands), which is the current gold standard for analysis of microcirculation videos. Methods A web‐based software program was developed, which enables manual analysis of videos of the microcirculation to be carried out according to recommendations of the 2018 consensus conference. A set of 50 high quality microcirculation videos was analyzed with AVA and CM with respect to total vessel density, perfused vessel density, proportion of perfused vessels, and the microvascular flow index. Results Comparison of the mean values derived from manual analysis with CM and AVA revealed no significant differences in microcirculatory variables. Analysis according to Bland and Altman revealed an acceptable bias between manual analysis with the CM and AVA for all variables tested with sufficient limits of agreement. The analysis of intraclass correlation showed “excellent” agreement for all microcirculatory variables analyzed. Conclusions The newly developed CM was successfully validated for manual analyses of microcirculation videos against the current gold standard, the software AVA 3.2.
机译:摘要目的本研究的目的是比较新开发的基于Web的自由可访问的软件程序,用于手动分析微循环,毛细管映射器(CM),AV​​A 3.2软件(AVA; Microvision Medical BV,Amsterdam,Amsterdam,荷兰),这是当前用于分析微循环视频的金标准。方法开发了一种基于Web的软件程序,可以根据2018年共识会议的建议,手动分析微循环的视频。通过AVA和CM相对于总血管密度,灌注容器密度,灌注血管比例和微血管流量指数,分析了一组50个高质量微循环视频。结果与CM和AVA源自手动分析的平均值的比较显示,微循环变量没有显着差异。根据Bland和Altman的分析揭示了手动分析与CM和AVA的可接受的偏见,用于所有具有足够的协议限制的所有变量。对脑内相关性分析显示了分析的所有微循环变量的“优秀”协议。结论新开发的CM已成功验证,以便对当前黄金标准进行手动分析微循环视频,软件AVA 3.2。

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