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Imaging Particle Deposition Airway-by-Airway in Laboratory Animals.

机译:在实验动物中逐个气道成像颗粒沉积。

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摘要

The deposition locations of inhaled particles play a critical role in determining the subsequent health effects elicited. Cell type and distribution within the lung varies both by region and from airway to airway, making precise knowledge of particle locations an important factor in determining toxicity of harmful particles as well as benefits of therapeutic ones. Administering therapeutic drugs by inhalation offers advantages such as avoidance of first pass metabolism for oral drugs, faster absorption, low cost, needle avoidance and patient convenience. Knowledge of where particles have deposited is an important factor in understanding the effects of this type of drug administration and may enable more effective targeting of specific sites within the lung. Similarly, such knowledge also aids studies of harmful effects from exposure to suspended particles through occupational exposure, air pollution, or smoke.;Mathematical models are often employed in place of empirical exposure methods to predict deposition locations and patterns. These models can provide valuable insight without the requirement of actual exposure and subsequent particle detection, but must be validated against empirical data to ensure accurate predictions. There are few methods for identifying the exact pattern of deposition once the drug or particle enters the airways. Here we present a newly developed method for simultaneously imaging airways and deposited particles in three dimensions with high spatial resolution.
机译:吸入颗粒的沉积位置在确定随后引起的健康影响中起关键作用。肺内的细胞类型和分布随区域和气道的不同而变化,这使得对颗粒位置的精确了解成为确定有害颗粒的毒性以及治疗颗粒的益处的重要因素。通过吸入施用治疗药物具有诸如避免口服药物的首过代谢,更快的吸收,低成本,避免针刺和患者便利的优点。了解颗粒沉积的位置是了解此类药物给药效果的重要因素,并且可以使肺内特定部位更有效地靶向。同样,这些知识也有助于研究由于职业暴露,空气污染或烟雾而暴露于悬浮颗粒而产生的有害影响。;经常使用数学模型代替经验暴露方法来预测沉积位置和样式。这些模型可以提供有价值的见解,而无需实际暴露和随后的粒子检测,但必须根据经验数据进行验证以确保准确的预测。一旦药物或颗粒进入呼吸道,几乎没有方法可以确定沉积的确切模式。在这里,我们提出了一种新开发的方法,可以同时以高空间分辨率对气道和沉积颗粒进行三维成像。

著录项

  • 作者

    Wallis, Christopher David.;

  • 作者单位

    University of California, Davis.;

  • 授予单位 University of California, Davis.;
  • 学科 Medical imaging.;Mechanical engineering.
  • 学位 M.S.
  • 年度 2015
  • 页码 31 p.
  • 总页数 31
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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