Aguiar Santos Susana, Czaplik Michael, Orschulik Jakob, Hochhausen Nadine, Leonhardt Steffen
Philips Chair for Medical Information Technology, RWTH Aachen University, Germany.
Department of Anesthesiology, RWTH Aachen University Hospital, Germany.
Respir Physiol Neurobiol. 2018 Aug;254:1-9. doi: 10.1016/j.resp.2018.03.016. Epub 2018 Mar 31.
In critically ill patients, correct diagnosis of lung disease is essential for successful therapy. Therefore, this study investigated whether new multi-frequency electrical impedance tomography (mfEIT) can detect, monitor and differentiate between pathologies associated with the acute respiratory distress syndrome (ARDS). For this pilot study, 12 pigs were randomized into an ARDS (bronchoalveolar lavage) group (n = 7) and a healthy control group (n = 5). Animals were monitored by means of mfEIT. In addition to functional images, a new impaired-ventilation (rImpVent) index was developed and frequency-difference images were computed and analyzed. Amplitude functional images revealed only small differences between the groups. However, phase functional images were of greater importance in distinguishing between lung pathologies. Correlation images showed substantial differences between the two groups. The new rImpVent index achieved high sensitivity (91%) and specificity (92%) in detecting PaO/FiO ≤ 200 mmHg. mfEIT was able to detect lung edema, differentiate this from atelectasis, and also monitor their progress over time in terms of global and regional differences.
在危重症患者中，准确诊断肺部疾病对于成功治疗至关重要。因此，本研究调查了新型多频电阻抗断层成像（mfEIT）是否能够检测、监测并区分与急性呼吸窘迫综合征（ARDS）相关的病变。在这项初步研究中，12只猪被随机分为ARDS（支气管肺泡灌洗）组（n = 7）和健康对照组（n = 5）。通过mfEIT对动物进行监测。除功能图像外，还开发了一种新的通气受损（rImpVent）指数，并对频率差异图像进行计算和分析。振幅功能图像显示两组之间仅有微小差异。然而，相位功能图像在区分肺部病变方面更为重要。相关性图像显示两组之间存在显著差异。新的rImpVent指数在检测PaO/FiO≤200 mmHg时具有较高的敏感性（91%）和特异性（92%）。mfEIT能够检测肺水肿，将其与肺不张区分开来，并根据整体和区域差异监测其随时间的进展情况。
