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Connecting the Radiative Influences of Aerosol upon the Mass Flux Profiles of Shallow Cumuli across the Central Atlantic Ocean Basin and its Boundaries | |
项目编号 | DE-SC0018274 |
Miller, Mark | |
项目主持机构 | Rutgers, The State University of New Jersey |
开始日期 | 2017-09-15 |
结束日期 | 2020-09-14 |
英文摘要 | Asthma is a chronic airway disorder that impacts 22.9 million people in the United States and causes a substantial economic burden. Asthma attacks (exacerbation) are triggered by stimulation of chronically inflamed airways and hyper responsive airway smooth muscle, leading to airway constriction and obstructed airflow. Reducing the frequency of exacerbations is the primary goal of asthma disease management. Severe asthma is especially challenging to treat, as this cohort of patients (~15%) does not respond well to inhaled therapeutics, resulting in significantly higher heath care costs compared to patients with milder disease severity. One of the keys to asthma management is to identify early which set of patients may benefit from alternative treatment strategies. However assessing dosimetry experimentally is not currently feasible especially on a patient-to-patient basis. Computational models, on the other hand, provide a unique opportunity to uncover anatomical and physiological features that lead to inadequate dosing. Thus, the main goal of this R21 proposal is to determine which set of patients may benefit from alternative treatment strategies. To do this, existing datasets collected from as part of the NIH funded Severe Asthma Research Program (SARP) will be incorporated to study inhaled medications. A subset of this study includes hyperpolarized 3He ventilation and high- resolution CT images, thereby providing the opportunity to couple patient-specific anatomy and ventilation distribution with advanced modeling techniques. Incorporation of segmental-level ventilation defects percent (VDP) will enable accurate ventilation distributions to be incorporated into the respiratory in silico models and for peripheral delivery to be correlated with the heterogeneous ventilation. With this existing dataset, we will test our hypothesis that abnormal drug delivery concentrations are correlated to airway morphometric features which may be identified directly from CT images. Within the scope of this proposal, we will make key advances in determining which set of patients would benefit from alternative treatment strategies (e.g. systemic medications) because of inadequate peripheral airway delivery. |
英文关键词 | X-Ray Computed Tomography;Variant;United States National Institutes of Health;United States;treatment strategy;Therapeutic;Testing;Techniques;Structure;standard care;Site;Severity of illness;Severities;Rest;respiratory smooth muscle;respiratory;Resistance;Research;pulmonary function;Property;programs;Program Research Project Grants;Physiological;Phenotype;Pharmaceutical Preparations;Peripheral;Patients;patient oriented;Pathology;particle;Oral;National Heart, Lung, and Blood Institute;Morphology;Modeling;Methodology;Medical Imaging;Measures;Maps;Maintenance;Magnetic Resonance Imaging;Lung;Location;Lobar;Lead;insight;Injectable;Inhalators;High Resolution Computed Tomography;Gravitation;Goals;Geometry;Gases;Future;Funding;Frequencies;experimental study;Exhalation;Environmental air flow;effective therapy;Economic Burden;Drug Delivery Systems;dosimetry;Dose;disorder control;Disease Progression;Disease Management;Disease;Development;Deposition;Defect;Databases;Data Set;Data;Coupling;cost;constriction;Computing Methodologies;Computer Simulation;computer framework;cohort;Clinical;Chronic;Chest;Characteristics;Caring;Breathing;base;asthmatic patient;asthmatic;Asthma;Anatomy;alternative treatment;Alternative Therapies;Airway Resistance;airway hyperresponsiveness;Affect;Aerosols;Adult |
学科分类 | 09 - 环境科学;06 - 生物科学 |
资助机构 | US-DOE |
项目经费 | 439059 |
项目类型 | Grant |
国家 | US |
语种 | 英语 |
文献类型 | 项目 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/73374 |
推荐引用方式 GB/T 7714 | Miller, Mark.Connecting the Radiative Influences of Aerosol upon the Mass Flux Profiles of Shallow Cumuli across the Central Atlantic Ocean Basin and its Boundaries.2017. |
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