American Journal of Respiratory Cell and Molecular Biology

From the Authors:

We thank Drs. Knudsen and Ochs for their interest and insightful comments. The American Thoracic Society/European Respiratory Society statement on quantitative assessment of lung structure was taken into consideration before the conception of the parenchymal airspace profiling (PAP) method and was cited in our article (1). We used formalin fixation, paraffin embedding, and errors in pixel scales to test the robustness of the PAP method, and are not in any way encouraging researchers to deviate from the guidelines set forth by the American Thoracic Society and European Respiratory Society.

Our motivation for initially undertaking these studies was to develop a more feasible approach to lung morphometry for smaller laboratories. Although they are precise and all-inclusive, the guidelines are impractical for investigators who do not have the manpower to perform the extensive sectioning and processing required. We intended to develop a method that could overcome certain biases from different protocols while allowing rapid, large-scale analyses of the lung.

The authors are correct that unpredictable tissue deformation and shrinkage will introduce bias in any image analysis. Although the overall shrinkage as a result of histologic processes can be somewhat unpredictable, ranging from 24% to 36% for different species (2), the linear correction factor repeatedly discussed in the article also suggests that these changes are nearly linear or proportional to the original unprocessed tissue. As demonstrated in our article, PAP-derived parameters, such as the ductal/destructive fraction, stayed unbiased with proportional changes by ± 20% of the original size, whereas the mean linear intercept did not. Nevertheless, the development of a robust method to withstand some of these biases would be beneficial and a great addition to previously utilized methods.

Another criticism made by the authors is regarding our definition of terms, such as the “count.” We fully recognize the complexity of lung structure, and defined parameters in the manuscript pertaining to our methodology, such as the count per unit area (#/2D). The counts in the article are indeed 2D section based and clearly labeled with the unit of 1/mm2. We have no intention to suggest that the count (1/mm2) is an unbiased representation of objects in a 3D space. As for the argument regarding the difference between “alveolar airspaces” and “ductal airspaces,” the “ductal/destructive airspaces” defined by the PAP method will always refer to those airspaces that are centered by the second Gaussian distribution based on the area-weighted size distribution. This will facilitate future advancements in this area of research, as it will allow researchers to exactly reproduce the results, carefully examine them, and make corrections/improvements as needed.

The criticism that Drs. Knudsen and Ochs made regarding certain aspects of the PAP method is duly noted; however, the 3D method “disector” is less than ideal, as this method is not widely used. As a matter of fact, since the introduction of the disector method in 1984 by Sterio (3), there have been very limited follow-up publications, as revealed by a recent PubMed search. While looking forward to high-resolution 3D scans in the future, we should still pay attention to the most widely used technology that is currently available. The fact that 3D structures can be reconstructed from numerous 2D sections suggests that 2D-based methodologies are the foundation of future 3D technologies. We will further dedicate time and effort to develop a 3D-based method that we hope will resolve some of the limitations of the 2D method and become more widely utilized by researchers.

1. Xiao R, Goldklang MP, D’Armiento JM. Parenchymal airspace profiling: sensitive quantification and characterization of lung structure evaluating parenchymal destruction. Am J Respir Cell Mol Biol 2016;55:708715.
2. Lum H, Mitzner W. Effects of 10% formalin fixation on fixed lung volume and lung tissue shrinkage. A comparison of eleven laboratory species. Am Rev Respir Dis 1985;132:10781083.
3. Sterio DC. The unbiased estimation of number and sizes of arbitrary particles using the disector. J Microsc 1984;134:127136.

Author Contributions: R.X., M.P.G., and J.M.D'A. drafted and revised the manuscript.

Author disclosures are available with the text of this letter at www.atsjournals.org.

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American Journal of Respiratory Cell and Molecular Biology
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