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Accuracy and reliability of noninvasive stroke volume monitoring via ECG-gated 3D electrical impedance tomography in healthy volunteers

机译:通过ECG门控3D电阻抗X线断层扫描术对健康志愿者进行无创性中风量监测的准确性和可靠性

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摘要

Cardiac output (CO) and stroke volume (SV) are parameters of key clinical interest. Many techniques exist to measure CO and SV, but are either invasive or insufficiently accurate in clinical settings. Electrical impedance tomography (EIT) has been suggested as a noninvasive measure of SV, but inconsistent results have been reported. Our goal is to determine the accuracy and reliability of EIT-based SV measurements, and whether advanced image reconstruction approaches can help to improve the estimates. Data were collected on ten healthy volunteers undergoing postural changes and exercise. To overcome the sensitivity to heart displacement and thorax morphology reported in previous work, we used a 3D EIT configuration with 2 planes of 16 electrodes and subject-specific reconstruction models. Various EIT-derived SV estimates were compared to reference measurements derived from the oxygen uptake. Results revealed a dramatic impact of posture on the EIT images. Therefore, the analysis was restricted to measurements in supine position under controlled conditions (low noise and stable heart and lung regions). In these measurements, amplitudes of impedance changes in the heart and lung regions could successfully be derived from EIT using ECG gating. However, despite a subject-specific calibration the heart-related estimates showed an error of 0.0 ± 15.2 mL for absolute SV estimation. For trending of relative SV changes, a concordance rate of 80.9% and an angular error of −1.0 ± 23.0° were obtained. These performances are insufficient for most clinical uses. Similar conclusions were derived from lung-related estimates. Our findings indicate that the key difficulty in EIT-based SV monitoring is that purely amplitude-based features are strongly influenced by other factors (such as posture, electrode contact impedance and lung or heart conductivity). All the data of the present study are made publicly available for further investigations.
机译:心输出量(CO)和中风量(SV)是关键的临床关注参数。存在许多测量CO和SV的技术,但在临床环境中具有侵入性或准确性不足。电阻抗断层扫描(EIT)已被建议作为SV的一种非侵入性测量方法,但已报道了不一致的结果。我们的目标是确定基于EIT的SV测量的准确性和可靠性,以及高级图像重建方法是否可以帮助改善估计值。收集了十名进行姿势改变和运动的健康志愿者的数据。为了克服先前工作中报道的对心脏移位和胸部形态的敏感性,我们使用了3D EIT配置,其中2个平面的16个电极和特定于受试者的重建模型。将各种EIT得出的SV估计值与从摄氧量得出的参考测量值进行比较。结果表明,姿势对EIT图像有巨大影响。因此,分析仅限于在受控条件下(低噪音以及稳定的心脏和肺部区域)仰卧位进行测量。在这些测量中,可以使用ECG门控从EIT成功得出心脏和肺部区域阻抗变化的幅度。但是,尽管进行了受试者特定的校准,但与心脏相关的估计对于绝对SV估计仍显示出0.0±15.2 mL的误差。对于SV相对变化趋势,获得了80.9%的一致率和-1.0±23.0°的角误差。这些性能不足以用于大多数临床用途。从与肺有关的估计中得出类似的结论。我们的发现表明,基于EIT的SV监视的关键困难在于,纯粹基于幅度的功能受其他因素(例如姿势,电极接触阻抗以及肺或心脏电导率)的强烈影响。本研究的所有数据已公开提供以供进一步研究。

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