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Magnetic Resonance Fingerprinting Assessments of Lung Disease

肺部疾病的磁共振指纹图谱评估

基本信息

批准号：
9329475
负责人：
Rebecca J Darrah
金额：
$ 23.78万
依托单位：
CASE WESTERN RESERVE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2016
资助国家：
美国
起止时间：
2016-08-08 至 2019-04-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9329475
关键词：
Acute Adult Affect Asthma Bacteria Blood Blood flow Bronchoalveolar Lavage Cessation of life Child Childhood Chronic lung disease Clinical Research Clinical assessments Cystic Fibrosis Cystic Fibrosis Transmembrane Conductance Regulator Darkness Data Development Dextrans Disease Progression Dobutamine Dose Etiology Evolution Fingerprint Fluorescein-5-isothiocyanate Functional disorder Future Generations Genetic Hamman-Rich syndrome Healthcare Healthcare Systems Image Imaging Techniques Imaging technology In Situ Infection Inflammation Infusion procedures Injectable Ionizing radiation Label Lung Lung diseases Magnetic Resonance Magnetic Resonance Imaging Maps Measurement Measures Methodology Methods Modernization Monitor Morphologic artifacts Motion Mus Nature Patient Care Patients Pattern Perfusion Perfusion Weighted MRI Physiological Plethysmography Predisposition Process Protons Pseudomonas aeruginosa Pulmonary Cystic Fibrosis Pulmonary Emphysema Radiation Recruitment Activity Relaxation Reporting Research Resistance Resolution Respiratory physiology Roentgen Rays Saline Serum Signal Transduction Spin Labels Spirometry Structure Techniques Therapeutic Studies Time Tissues Translations Validation Vascularization X-Ray Computed Tomography base cystic fibrosis mouse density imaging modality imaging study improved in vivo mouse model non-invasive imaging novel pre-clinical pulmonary function decline red fluorescent protein respiratory

项目摘要

PROJECT SUMMARY Chronic lung diseases, such as cystic fibrosis (CF), emphysema, asthma, and idiopathic pulmonary fibrosis (IPF), place a significant burden on the U.S. health care system (~$150 billion overall). Despite a variety of etiologies, a common feature of many pulmonary diseases is repeated pulmonary infections or insults leading to declining respiratory function, and ultimately, death. Unfortunately, currently available clinical assessments of lung diseases are either invasive (bronchoalveolar lavage [BAL]), expose patients to significant repeated doses of ionizing radiation (X-ray and/or Computed Tomography [CT]), or offer limited sensitivity to detect regional lung disease (BAL, spirometry). Therefore, the development of sensitive, noninvasive, and radiation- free measures of acute lung infections, as well as physiologic remodeling associated with chronic lung disease, especially at early stages, offers the promise of improved health care for patients. Magnetic Resonance Imaging (MRI) is a safe, non-invasive technique capable of providing quantitative assessments of CF lung disease without the ionizing radiation of Xray/CT. For example, multiple imaging studies have also shown that reduced pulmonary perfusion / vascularization is associated with chronic lung disease and declining pulmonary function. Unfortunately, these conventional MRI techniques typically require multiple signal averages to obtain reliable quantitative assessments and are therefore susceptible to respiratory motion artifacts. There are still no established, widely available lung MRI techniques that: 1) can specifically detect the progression/resolution of acute lung infections; and 2) are resistant to respiratory motion artifacts. The MRI research group at CWRU has pioneered a transformative MRI technology called Magnetic Resonance Fingerprinting (MRF).22 In the initial clinical study (Nature 2013), MRF was shown to generate dynamic tissue-specific signal evolution profiles resulting in simultaneous generation of T1, T2 relaxation time maps in ~10 seconds. We have recently implemented this multi-parametric MRF methodology on preclinical MRI scanners and have demonstrated that MRF may be resistant to respiratory motion artifacts.23 The overall objective of this project is to develop and validate Ultrashort Echo Time (UTE)-MRF assessments of acute lung infection (Aim 1) and pulmonary perfusion (Aim 2) in mouse models of lung disease. We will also evaluate the sensitivity of these techniques to longitudinally monitor acute and chronic lung disease progression in a genetic mouse model of cystic fibrosis. These quantitative multi-parametric MRF measurements will provide the basis for future mechanistic/therapeutic studies in mouse models as well as eventual translation to studies in patients with lung disease.

项目摘要慢性肺部疾病，如囊性纤维化（CF）、肺气肿、哮喘和特发性肺纤维化 (IPF)，给美国医疗保健系统带来了沉重的负担（总计约1500亿美元）。尽管有各种许多肺部疾病的共同特征是反复的肺部感染或损伤，呼吸功能下降最终导致死亡不幸的是，目前可用的临床评估的肺部疾病是侵入性的（支气管肺泡灌洗[BAL]），使患者暴露于显著的重复剂量的电离辐射（X射线和/或计算机断层扫描[CT]），或提供有限的灵敏度来检测局部肺部疾病（BAL，肺功能测定）。因此，发展敏感的、非侵入性的、放射性的- 急性肺部感染的免费测量，以及与慢性肺部疾病相关的生理重塑，特别是在早期阶段，为患者提供了改善医疗保健的希望。磁共振成像（MRI）是一种安全、非侵入性的技术，能够提供定量的评估CF肺部疾病，而无需X射线/CT的电离辐射。例如，多重成像研究还表明，肺灌注/血管形成减少与慢性肺栓塞相关，疾病和肺功能下降。不幸的是，这些常规MRI技术通常需要多个信号平均值，以获得可靠的定量评估，因此易受呼吸运动伪影。仍然没有建立的、广泛可用的肺部MRI技术：1）可以特异性地检测急性肺部感染的进展/消退;以及2）抵抗呼吸运动藏物 CWRU的MRI研究小组开创了一种名为Magnetic的变革性MRI技术共振指纹（MRF）。22在最初的临床研究（Nature 2013）中，MRF被证明可以产生动态组织特异性信号演变曲线，导致同时产生T1、T2弛豫时间地图在10秒内。我们最近在临床前实施了这种多参数MRF方法， MRI扫描仪，并已证明MRF可抵抗呼吸运动伪影。23总体本项目的目的是开发和验证超短回波时间（UTE）-MRF评估急性肺感染（目的1）和肺灌注（目的2）在肺部疾病的小鼠模型。我们还将评估这些技术纵向监测急性和慢性肺病进展的敏感性囊性纤维化的遗传小鼠模型。这些定量多参数MRF测量将提供未来在小鼠模型中进行机制/治疗研究以及最终转化为研究的基础肺部疾病的患者。