Multi-center Structural & Functional Quantitative CT Pulmonary Phenotyping

多中心结构

基本信息

批准号：
8990993
负责人：
ERIC Alfred HOFFMAN
金额：
$ 113.76万
依托单位：
UNIVERSITY OF IOWA
依托单位国家：
美国
项目类别：
财政年份：
2012
资助国家：
美国
起止时间：
2012-08-01 至 2019-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8990993
关键词：
Accounting Adherence Air Algorithms Anatomy Asthma Back Biological Markers Biomedical Engineering Blood Vessels Blood Volume Blood flow Calibration Chronic Obstructive Airway Disease Cluster Analysis Computer software Contrast Media Coupled Data Collection Development Disease Dose Environmental air flow Equipment Etiology Evaluation Functional Imaging Gases Genotype Health Heterogeneity Image Image Analysis Imaging Techniques Inflammation Injection of therapeutic agent Intervention Journals Link Liquid substance Lung Lung CAT Scan Lung diseases Manufacturer Name Measurement Measures Medicine Methodology Methods Modeling Multicenter Studies Multicenter Trials New England Noise Pathologic Processes Pathology Perfusion Peripheral Phenotype Population Process Protocols documentation Pulmonary Emphysema Radiation Reporting Research Respiratory physiology Scanning Science Smoking Staging Structure Structure-Activity Relationship Subgroup Techniques Technology Testing Time Trees Venous X-Ray Computed Tomography Xenon airway remodeling base computerized tools detector disease phenotype disorder subtype endothelial dysfunction feeding imaging Segmentation imaging biomarker indexing inflammatory lung disease insight interest lung imaging lung volume new technology novel novel strategies novel therapeutics outcome prediction physiologic stressor reconstruction response tool

项目摘要

DESCRIPTION (provided by applicant): Biomarkers of regional lung function, coupled with validated low dose methods of assessing anatomic features of the lung are critical to promote discovery and testing of new interventions in COPD and asthma. This proposed bioengineering research partnership seeks to take advantage of the emerging acquisition technique of multi-spectral computed tomography (currently dual energy CT: DECT), careful evaluation of dose lowering methods, and novel approaches to statistical cluster anlaysis to expand the biomarkers used in multi-center studies to identify sub-populations of lung disease. Current CT methods have focused largely on parenchymal destruction, air trapping and airway remodeling. With our recent findings reported in the Proceedings of the National Acedemy of Sciences and the New England Journal of Medicine, there is growing evidence that the etiology of emphysema may be correlated with abnormal vascular responses to inflammation in COPD. To further validate these findings, we focus on multi-spectral CT to simplify the current dynamic CT approach in its assessment of ventilation and perfusion. With DECT we can simplify to a single breath of xenon gas or a slow peripheral injection of iodinated contrast agent to assess regional ventilation or perfused blood volume (PBV). Our approach consists of 5 tightly integrated aims seeking to: 1) establish the minimum dose required to achieve the measurements of importance in defining COPD and asthma sub-populations; 2) use our well characterized CT assessment of pulmonary perfusion and ventilation using dynamic axial imaging to validate metrics from DECT, providing indices of ventilation and perfusion via single breath hold / single lung volume techniques; 3) expand image segmentation of the lung to the pulmonary arterial and venous trees to further link structure to function as well as to reliabily provide a framework for dividing the lung into sublobar segments as the standard region of interest; 4) test the application of a novel statistica approach to cluster analysis such that the measures from quantitative CT fully account for specific phenotypes for disease subgroups and link to a computational fluid dynamics model such that a putative phenotype can be better understood; and finally 5) provide a framework whereby newly developed protocols are harmonized across manufacturers and scanner models, allowing for cross institutional data collection and a means whereby technology is allowed to progress within the context of longitudial studies.

描述（由申请人提供）：区域肺功能的生物标志物，再加上经过验证的评估肺解剖学特征的低剂量方法，对于促进COPD和COPD和哮喘的新干预措施的发现和测试至关重要。这项提出的生物工程研究合作伙伴关系旨在利用多光谱计算机断层扫描的新兴收购技术（目前是双能量CT：DECT），对降低剂量降低方法的仔细评估以及用于扩展Lung subspoperation的多分钟研究中使用的生物标志物的统计集群Anlaysis的新方法。当前的CT方法主要集中在实质破坏，空气捕获和气道重塑上。随着我们最近的发现在《国家科学学院》和《新英格兰医学杂志》的论文集中报道，越来越多的证据表明，肺气肿的病因可能与COPD中炎症的异常血管反应有关。为了进一步验证这些发现，我们专注于多光谱CT，以简化当前的通风和灌注评估中的动态CT方法。使用DECT，我们可以简化单一呼吸的氙气或缓慢的外围碘对比剂注射，以评估区域通风或灌注血液体积（PBV）。我们的方法包括5个紧密整合的目标：1）确定在定义COPD和哮喘亚群中实现重要性所需的最低剂量； 2）使用动态轴向成像对肺部灌注和通风的良好特征评估来验证DECT的指标，从而通过单呼吸保持 /单肺体积技术提供通风和灌注指标； 3）将肺部的图像分割扩大到肺动脉和静脉树，以进一步将结构连接到功能，并可靠地提供了将肺部分为sublobar段作为标准感兴趣区域的框架； 4）测试一种新型的Statistica方法在聚类分析中的应用，以便从定量CT完全解释了疾病亚组的特定表型的措施，并与计算流体动力学模型相关，以便可以更好地理解推定的表型；最后5）提供了一个框架，在该框架中，新开发的协议在制造商和扫描仪模型之间进行了协调，从而允许跨机构数据收集，并允许技术在纵向研究的背景下进步。

项目成果

期刊论文数量（11）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

High-Frequency Oscillatory Ventilation and Ventilator-Induced Lung Injury: Size Does Matter.

DOI：
10.1097/ccm.0000000000004073
发表时间：
2020-01
期刊：
Critical care medicine
影响因子：
8.8
作者：
Herrmann J;Lilitwat W;Tawhai MH;Kaczka DW
通讯作者：
Kaczka DW

Computational Modeling of Primary Blast Lung Injury: Implications for Ventilator Management.

原发性爆炸性肺损伤的计算模型：对呼吸机管理的影响。

DOI：
10.1093/milmed/usy305
发表时间：
2019
期刊：
Military medicine
影响因子：
1.2
作者：
Herrmann,Jacob;Tawhai,MerrynH;Kaczka,DavidW
通讯作者：
Kaczka,DavidW

A Robust and Efficient Curve Skeletonization Algorithm for Tree-Like Objects Using Minimum Cost Paths.

DOI：
10.1016/j.patrec.2015.04.002
发表时间：
2016-06-01
期刊：
Pattern recognition letters
影响因子：
5.1
作者：
Jin D;Iyer KS;Chen C;Hoffman EA;Saha PK
通讯作者：
Saha PK

Development of quantitative computed tomography lung protocols.

DOI：
10.1097/rti.0b013e31829f6796
发表时间：
2013-09
期刊：
Journal of thoracic imaging
影响因子：
3.3
作者：
Newell JD Jr;Sieren J;Hoffman EA
通讯作者：
Hoffman EA

A semi-automatic framework of measuring pulmonary arterial metrics at anatomic airway locations using CT imaging.

使用 CT 成像测量气道解剖位置的肺动脉指标的半自动框架。

DOI：
10.1117/12.2216558
发表时间：
2016
期刊：
Proceedings of SPIE--the International Society for Optical Engineering
影响因子：
0
作者：
Jin,Dakai;Guo,Junfeng;Dougherty,TimothyM;Iyer,KrishnaS;Hoffman,EricA;Saha,PunamK
通讯作者：
Saha,PunamK