Real-Time Assessment of Lung Structure and Function in CF Patients using Electrical Impedance Tomography

使用电阻抗断层扫描实时评估 CF 患者的肺结构和功能

基本信息

批准号：
9903293
负责人：
Jennifer Lynn Mueller
金额：
$ 59.6万
依托单位：
COLORADO STATE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-04-01 至 2023-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9903293
关键词：
3-Dimensional Acute Adult Aftercare Age Agreement Air Algorithms Antibiotics Child Chronic lung disease Clinical Clinical Research Cystic Fibrosis Data Disease Management Disease Progression Electrodes Feedback Foundations Frequencies Functional Imaging Funding Genetic Genetic Diseases Goals Gold Grant Home environment Hospital Nursing Hospitals Image Image Enhancement Imaging Techniques Injections Intravenous Ionizing radiation Life Lobe Longitudinal Studies Lung Lung diseases Maps Measurement Measures Methods Mind National Institute of Biomedical Imaging and Bioengineering Noise Normal Range Nurses Outcome Output Pathway interactions Patient Care Patient imaging Patients Pattern Performance Physiological Pulmonary Cystic Fibrosis Pulmonary function tests Radiation exposure Reader Research Resolution Respiratory Failure Respiratory physiology Risk Scanning Signal Transduction Source Spirometry Structure System Technology Testing Time United States Validation Variant Ventilation-Perfusion Ratio Work X-Ray Computed Tomography analog attenuation base children with cystic fibrosis cystic fibrosis patients data registry density design digital electrical impedance tomography falls imaging system improved indexing lung injury mortality novel pediatric patients portability public health relevance pulmonary function real-time images reconstruction safe patient side effect statistics success treatment response voltage

项目摘要

Project Summary Cystic fibrosis is a genetic lung disease marked by progressive decline in lung structure and function. Use of the gold standards of CT scans and pulmonary function tests (PFT's) to assess lung structure and function, respectively, are hindered by the ionizing radiation applied to the patient in CT scanning, and the inability of very young patients to perform PFTs. The goal of this research is to determine whether electrical impedance tomography (EIT) can provide sensitive measures of changes in lung structure and function in CF patients of all ages. To test this hypothesis we will study the ability of EIT images and derived measures to detect structural changes through a 3 year longitudinal study and changes pre and post-treatment for an acute PE. This project is part of a long term goal to develop an EIT system for imaging patients with chronic lung disease. EIT is a noninvasive, non-ionizing functional imaging technique in which images are formed from voltages measured on electrodes on the body arising from imperceptible applied currents. Since EIT is a safe and portable technology with no damaging side effects, it can be used as needed. This research builds on the results of a previous grant in which a strong correlation was demonstrated between EIT-derived measures of pulmonary function and PFT output measures in CF patients, and the ability to identify air trapping was demonstrated. In this work, novel EIT hardware and algorithms will be developed to obtain 3-D reconstructions with current patterns that provide the highest signal-to-noise ratio (SNR) on all electrodes. The design and validation of this improved high performance EIT system is the first specific aim. The second specific aim is to develop algorithms in 3-D for the computation of regional aeration and ventilation perfusion ratio (V/Q) maps in 3-D, and for the identification and quantification of regions of air trapping and consolidation. The third aim is to determine the ability of EIT to identify functional and structural physiological changes that occur with disease progression through a clinical study with the following subaims: to determine whether EIT can serve as a selective alternative for CT to identify regions of air trapping and consolidation, whether EIT can provide clinically useful information about response to treatment for an acute PE, and whether EIT can provide longitudinal information about structural changes in the lung. 1

项目概要囊性纤维化是一种遗传性肺病，其特征是肺结构进行性衰退，功能。使用 CT 扫描和肺功能测试 (PFT) 的黄金标准来评估肺的结构和功能分别受到施加到肺的电离辐射的阻碍患者进行 CT 扫描，以及非常年轻的患者无法进行 PFT。目标是这项研究旨在确定电阻抗断层扫描 (EIT) 是否可以提供灵敏的测量所有年龄段 CF 患者肺结构和功能的变化。为了检验这个假设我们将研究 EIT 图像的能力以及通过以下方式检测结构变化的衍生措施：一项为期 3 年的纵向研究以及急性肺栓塞治疗前后的变化。这个项目是开发用于慢性肺病患者成像的 EIT 系统是长期目标的一部分。 EIT 是一种非侵入性、非电离功能成像技术，其中图像由由于难以察觉的施加电流而在身体上的电极上测量的电压。自从 EIT是一种安全、便携的技术，没有破坏性的副作用，可以根据需要使用。这研究建立在先前资助的结果的基础上，其中证明了很强的相关性 CF 患者的 EIT 衍生肺功能测量值与 PFT 输出测量值之间的比较，并证明了识别空气滞留的能力。在这项工作中，将开发新颖的 EIT 硬件和算法来获得 3D 重建具有在所有电极上提供最高信噪比 (SNR) 的电流模式。这设计和验证这种改进的高性能 EIT 系统是第一个具体目标。第二个具体目标是开发用于计算区域通气的 3D 算法和通气灌注比 (V/Q) 3-D 图，并用于识别和量化空气滞留和固结区域。第三个目标是确定 EIT 的能力通过以下方式识别随疾病进展而发生的功能和结构生理变化具有以下子目标的临床研究：确定 EIT 是否可以作为选择性治疗 CT 识别空气滞留和固结区域的替代方案，EIT 是否可以提供有关急性 PE 治疗反应的临床有用信息，以及 EIT 是否可以提供有关肺部结构变化的纵向信息。 1