CoRLEIT, Covid Regional Lung EIT

CoRLEIT、Covid 区域肺 EIT

• 批准号: EP/V044036/1
• 负责人: Richard Bayford
• 金额: $ 68.43万
• 依托单位: Middlesex University
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FV044036%2F1
• 关键词: CoRLEIT; Covid; Regional; Lung; EIT

A key challenge for the COVID-19 pandemic is the requirement to monitor for deterioration and provide timely escalation interventions to an unprecedented number of patients at risk of respiratory failure. Existing monitoring poorly predicts sudden deterioration in COVID-19pneumonia. Regional information, currently from CT scans, has been informative (Scudellari, 2020) [1], but does not provide dynamic information. There is an urgent need for a low cost, bedside,non-invasive imaging system, to continuously monitor dynamic changes in regional lung ventilation [2][3][4][5].Electrical Impedance Tomography (EIT) can provide this and has proved useful in managing acute respiratory syndrome in infants and adults (Bachmann et al 2018) [2]. We have already developeda low cost wearable EIT system for neonates (CRADL; http://cradlproject.org/) and obtainedclinical results from 200 subjects, each for up to 72 hours of continuous monitoring of temporal lung volume changes.This technology can be repurposed for COVID-19 patients (Appendix) with the aim of providing novel insights into COVID-19 pathophysiology, and with the potential to provide a solution for respiratory failure monitoring at scale. Using EIT in HDU-pre-ICU patients, evaluating and stratifying treatment response (to prone positioning, CPAP, other breathing support) and thenfollowing through into ICU with ventilation interventions if they deteriorate, will add invaluable information about how COVID-19 effects the respiratory system. This will establish the merits of EIT monitoring for COVID-19 respiratory failure, in particular enhance and expedite clinical research into optimal COVID-19 breathing support treatment strategy and facilitate development of EIT guided personalised treatment plans.

新冠肺炎疫情面临的一项关键挑战是，需要监测病情的恶化情况，并为数量空前的面临呼吸衰竭风险的患者提供及时的病情升级干预。现有的监测很难预测新冠状病毒肺炎的突然恶化。目前来自CT扫描的区域信息具有信息性(Scudellari，2020)[1]，但不提供动态信息。迫切需要一种低成本、床边无创的成像系统，以持续监测区域肺通气量的动态变化[2][3][4][5]。电阻抗断层扫描(EIT)可以提供这一功能，并已被证明在处理婴儿和成人的急性呼吸综合征方面很有用(Bachmann等人2018)[2]。我们已经开发了一种低成本的新生儿可穿戴EIT系统(CRADL；http://cradlproject.org/))，并获得了200名受试者的临床结果，每个受试者最多72小时连续监测暂时性肺容量变化。这项技术可以被重新用于新冠肺炎患者(附录)，目的是为新冠肺炎的病理生理提供新的见解，并有可能为大规模呼吸衰竭监测提供解决方案。对HDU-前ICU患者进行体外震荡试验，评估和分层治疗反应(对俯卧位、CPAP和其他呼吸支持)，并在病情恶化时继续进入ICU进行机械通气干预，将增加关于新冠肺炎如何影响呼吸系统的宝贵信息。这将确立对新冠肺炎呼吸衰竭进行体外震颤监测的优点，尤其是加强和加快对最佳新冠肺炎呼吸支持治疗策略的临床研究，并促进体外震荡试验指导的个性化治疗计划的制定。

项目成果

High Frame Rate Electrical Impedance Tomography System for Monitoring of Regional Lung Ventilation.

用于监测区域肺通气的高帧率电阻抗断层扫描系统。

• DOI: 10.1109/embc48229.2022.9871479
• 发表时间: 2022
• 期刊: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
• 作者: Rahal M

Impact of Patient Position on Neonatal Chest EIT

患者体位对新生儿胸部 EIT 的影响

• 发表时间: 2022
• 作者: Nima Seifnaraghi