Selection of the Baseline Frame for Evaluation of Electrical Impedance Tomography of the Lungs

K. Roubík, V. Sobota, M. Laviola
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引用次数: 4

Abstract

Electrical impedance tomography (EIT) is a promising modality for lung ventilation monitoring. It can provide information about the distribution of regional ventilation in predefined regions of interest (ROIs), as well as estimate several ventilatory parameters including tidal volume (VT) or end-expiratory lung volume (EELV). The approaches for calculation of VT and EELV are based on the values of global tidal variation (TV) and end-expiratory lung impedance (EELI) obtained by the means of functional EIT (fEIT). For reconstruction of fEIT data, a set of reference measurements, often called as a baseline frame, needs to be determined. The aim of the study is to show how setting of this baseline frame can influence the values of ROI, global TV and EELI and thus affect the estimation of VT and EELV and the evaluation of lung recruitment as such. In order to study the effect of the baseline frame selection, an animal study (pigs, n=3) was conducted. The animals were anaesthetized and mechanically ventilated. Four incremental steps in positive end-expiratory pressure (PEEP), each having a value of 0.5 kPa were performed to reach a total PEEP level of 2.5 kPa. Continuous EIT monitoring was done during this PEEP trial. The obtained data were reconstructed using baseline frames chosen manually at five different PEEP levels. The selection of the baseline frames resulted in different values of global TV and EELI. Thus, when estimating VT and EELV by means of fEIT, it is necessary to choose one common baseline frame for data reconstruction. However, the effect on the percentage values that express the distribution of regional ventilation is negligible and below clinical significance.
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肺电阻抗断层扫描评价基线框架的选择
电阻抗断层扫描(EIT)是一种很有前途的肺通气监测方法。它可以提供预先定义的兴趣区域(roi)的区域通气分布信息,以及估计几个通气参数,包括潮气量(VT)或呼气末肺容积(EELV)。VT和EELV的计算方法是基于功能EIT (fEIT)获得的全局潮汐变化(TV)和呼气末肺阻抗(EELI)值。为了重建fEIT数据,需要确定一组参考测量值,通常称为基线框架。本研究的目的是显示该基线框架的设置如何影响ROI、全局TV和EELI的值,从而影响VT和EELV的估计以及肺再募集的评估。为了研究基线框架选择的影响,进行了一项动物研究(猪,n=3)。动物被麻醉和机械通气。呼气末正压(PEEP)增加4个步骤,每个步骤的值为0.5 kPa,达到总PEEP水平为2.5 kPa。在PEEP试验期间进行连续EIT监测。在五个不同的PEEP水平下,使用手动选择的基线帧重建获得的数据。基线帧的选择导致了全球TV值和EELI值的不同。因此,在利用fEIT估计VT和EELV时,有必要选择一个共同的基线框架进行数据重建。然而,对表示区域通气分布的百分比值的影响可以忽略不计,低于临床意义。
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