Detecting alterations in pulmonary airway development with airway-by-airway comparison

Can lung airway geometry be used to predict autism? A preliminary machine learning-based study

The goal of this study is to assess the feasibility of airway geometry as a biomarker for autism spectrum disorder (ASD). Chest computed tomography images of children with a documented diagnosis of ASD as well as healthy controls were identified retrospectively. Fifty-four scans were obtained for analysis, including 31 ASD cases and 23 controls. A feature selection and classification procedure using principal component analysis and support vector machine achieved a peak cross validation accuracy of nearly 89% using a feature set of eight airway branching angles. Sensitivity was 94%, but specificity was only 78%. The results suggest a measurable difference in airway branching angles between children with ASD and the control population.

Combination of µCT and light microscopy for generation-specific stereological analysis of pulmonary arterial branches: a proof-of-concept study

Various lung diseases, including pulmonary hypertension, chronic obstructive pulmonary disease or bronchopulmonary dysplasia, are associated with structural and architectural alterations of the pulmonary vasculature. The light microscopic (LM) analysis of the blood vessels is limited by the fact that it is impossible to identify which generation of the arterial tree an arterial profile within a LM microscopic section belongs to. Therefore, we established a workflow that allows for the generation-specific quantitative (stereological) analysis of pulmonary blood vessels. A whole left rabbit lung was fixed by vascular perfusion, embedded in glycol methacrylate and imaged by micro-computed tomography (µCT). The lung was then exhaustively sectioned and 20 consecutive sections were collected every 100 µm to obtain a systematic uniform random sample of the whole lung. The digital processing involved segmentation of the arterial tree, generation analysis, registration of LM sections with the µCT data as well as registration of the segmentation and the LM images. The present study demonstrates that it is feasible to identify arterial profiles according to their generation based on a generation-specific color code. Stereological analysis for the first three arterial generations of the monopodial branching of the vasculature included volume fraction, total volume, lumen-to-wall ratio and wall thickness for each arterial generation. In conclusion, the correlative image analysis of µCT and LM-based datasets is an innovative method to assess the pulmonary vasculature quantitatively.

Preparation of Specific Compartments of the Lungs for Pathologic and Biochemical Analysis of Toxicologic Responses

This unit focuses on protocols for assessing microenvironment-specific responses in the thoracic lung tissues. Aspects of the entire respiratory system serve as potential targets for candidate toxicants, but each candidate toxicant may impact distinct sites due to differential distribution of either the toxicant or the target cells. Within the conducting airways, the composition of resident cell populations and the metabolic capabilities of the cell populations vary greatly. Thus, studies of this region of the lung require unique, site-selective methods to clearly define the toxic response. Without site-specific sampling, as described in this chapter, the experimental limit of detection for toxicant effects in conducting airways is weakened because differences unrelated to treatment, but related to location, may dominate the response. The protocols included here allow assessment of toxicological responses in the tracheobronchial airways and the gas exchange area of the lung, with specific application to laboratory mammals. © 2017 by John Wiley & Sons, Inc.

Quantifying morphological parameters of the terminal branching units in a mouse lung by phase contrast synchrotron radiation computed tomography

An effective technique of phase contrast synchrotron radiation computed tomography was established for the quantitative analysis of the microstructures in the respiratory zone of a mouse lung. Heitzman’s method was adopted for the whole-lung sample preparation, and Canny’s edge detector was used for locating the air-tissue boundaries. This technique revealed detailed morphology of the respiratory zone components, including terminal bronchioles and alveolar sacs, with sufficiently high resolution of 1.74 µm isotropic voxel size. The technique enabled visual inspection of the respiratory zone components and comprehension of their relative positions in three dimensions. To check the method’s feasibility for quantitative imaging, morphological parameters such as diameter, surface area and volume were measured and analyzed for sixteen randomly selected terminal branching units, each consisting of a terminal bronchiole and a pair of succeeding alveolar sacs. The four types of asymmetry ratios concerning alveolar sac mouth diameter, alveolar sac surface area, and alveolar sac volume are measured. This is the first ever finding of the asymmetry ratio for the terminal bronchioles and alveolar sacs, and it is noteworthy that an appreciable degree of branching asymmetry was observed among the alveolar sacs at the terminal end of the airway tree, despite the number of samples was small yet. The series of efficient techniques developed and confirmed in this study, from sample preparation to quantification, is expected to contribute to a wider and exacter application of phase contrast synchrotron radiation computed tomography to a variety of studies.

Branch-based model for the diameters of the pulmonary airways: accounting for departures from self-consistency and registration errors

We examine a previously published branch-based approach for modeling airway diameters that is predicated on the assumption of self-consistency across all levels of the tree. We mathematically formulate this assumption, propose a method to test it and develop a more general model to be used when the assumption is violated. We discuss the effect of measurement error on the estimated models and propose methods that take account of error. The methods are illustrated on data from MRI and CT images of silicone casts of two rats, two normal monkeys, and one ozone-exposed monkey. Our results showed substantial departures from self-consistency in all five subjects. When departures from self-consistency exist, we do not recommend using the self-consistency model, even as an approximation, as we have shown that it may likely lead to an incorrect representation of the diameter geometry. The new variance model can be used instead. Measurement error has an important impact on the estimated morphometry models and needs to be addressed in the analysis.

Disruption of tracheobronchial airway growth following postnatal exposure to ozone and ultrafine particles

This study examined airway structure changes in adult rats after a long recovery period due to sub-chronic juvenile exposure to ozone and ultrafine particles that have a high organic fraction. Neonatal male Sprague-Dawley rats were exposed during lung development to 3 cycles of 0.5 ppm ozone from postnatal day 7 through 25. Two different exposure patterns were used: 5-day exposure per week (Ozone52) or 2-day exposure per week (Ozone25) with or without co-exposure to ultrafine particles (OPFP5252, OPFP5225). Airway architecture was evaluated at 81 days of age, after 56 days of continued development beyond the exposure period in filtered air (FA). By analyzing CT images from lung airway casts, we determined airway diameter, length, branching angle, and rotation angle for most conducting airways. Compared with the FA control group, the Ozone52 group showed significant decreases in airway diameter in generations larger than 10 especially in the right diaphragmatic lobe and in airway length in distal generations, while changes in airway structure due to the Ozone25 exposure were not appreciable. Interaction effects of ozone and ultrafine particle exposures were not significant. These results suggest that airway alterations due to postnatal ozone exposure are not limited to the distal region but occur extensively from the middle to distal conducting airways. Further, alterations due to early ozone exposure do not recover nearly 2 months after exposure has ceased demonstrating a persistent airway structural change following an early life exposure to ozone.