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首页> 美国卫生研究院文献>American Journal of Respiratory Cell and Molecular Biology >Parenchymal Airspace Profiling: Sensitive Quantification and Characterization of Lung Structure Evaluating Parenchymal Destruction
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Parenchymal Airspace Profiling: Sensitive Quantification and Characterization of Lung Structure Evaluating Parenchymal Destruction

机译：实质性空域分析：评估实质性破坏的肺结构的敏感量化和表征

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摘要

Lung morphometry was introduced over 50 years ago to provide quantitative evaluation of the lung structure. The existing parameters, such as mean linear intercept and destructive index, suffer from simplistic data interpretation and a subjective data acquisition process. To overcome these existing shortcomings, parenchymal airspace profiling (PAP) was developed to provide a more detailed and unbiased quantitative method. Following the standard protocols of fixation, embedding, and sectioning, lung micrographs were: (1) marked with nonparenchymal area, preprocessed, and binarized under the researcher’s supervision; (2) analyzed with a statistical learning method, Gaussian mixture model, to provide an unbiased categorization of parenchymal airspace compartments, corresponding to a single alveolus, alveolar sac, and ductal/destructive airspace; and (3) further quantified into morphometric parameters, including reference volume, alveolar count, and ductal/destructive fraction (DF) based on stereological principles. PAP was performed on hematoxylin and eosin–stained lung sections from mice and rabbits. Unbiased categorization revealed differences in alveolar size among several mouse strains (NZW/LacJ<AKR/J<A/J<C57BL/6J) and across species (mouse<rabbit). Further quantification indicates that parenchymal destruction, modeled in mouse lungs with 1-month smoke exposure, resulted in decreased alveolar count, increased DF, but no significant differences in mean linear intercept. DF also provides a robust measurement that is not biased by processing artifacts, magnification, or reference volume, which are common limitations in human lung biopsies or data obtained from different laboratories. PAP is a novel approach to lung morphometry that offers more detailed characterization of the lung structure, sensitivity, and robustness than presently used methods for evaluating parenchymal destruction.
机译：肺形态计量学是在50年前引入的，用于定量评估肺部结构。现有的参数（例如平均线性截距和破坏性指数）会遭受数据解释简单和主观数据获取过程的困扰。为了克服这些现有的缺点，开发了实质性空域分析（PAP），以提供更详细且公正的定量方法。按照固定，包埋和切片的标准规程，对肺部显微照片进行以下标记：（1）标出非实质区域，在研究人员的监督下进行预处理和二值化； （2）使用统计学习方法高斯混合模型进行分析，以提供实质性空域隔室的无偏分类，对应于单个肺泡，肺泡囊和导管/破坏性空域； （3）根据立体原理进一步量化为形态参数，包括参考体积，肺泡计数和导管/破坏分数（DF）。对小鼠和兔子的苏木精和曙红染色的肺切片进行PAP。无偏分类显示了几种小鼠品系（NZW / LacJ

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