Journal of Applied Physiology
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J Appl Physiol (June 18, 2009). doi:10.1152/japplphysiol.91227.2008
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Submitted on September 12, 2008
Revised on June 11, 2009
Accepted on June 12, 2009

Three dimensional measurement of alveolar airspace volumes in normal and emphysematous lungs using micro-CT

Harikrishnan Parameswaran1, Erzsebet Bartolak-Suki1, Hiroshi Hamakawa1, Arnab Majumdar1, Philip G Allen1, and Bela Suki1*

1 Boston University

* To whom correspondence should be addressed. E-mail: bsuki{at}bu.edu.

In pulmonary emphysema, the alveolar structure progressively breaks down via a three-dimensional (3D) process which leads to airspace enlargement. The characterization of such structural changes is, however, based on measurements from two-dimensional (2D) tissue sections or estimates of 3D structure from 2D measurements. In this study, we developed a novel silver-staining method for visualizing tissue structure in 3D using micro CT imaging which showed that at 30cm H20 fixing pressure, the mean alveolar airspace volume increased from 0.12 nl in normal mice to 0.44 nl and 2.14 nl in emphysematous mice respectively at 7 and 14 days following elastase-induced injury. We also assessed tissue structure in 2D using laser scanning confocal microscopy. The mean of the equivalent diameters of the alveolar airspaces was lower in 2D compared to 3D, while its variance was higher in 2D than in 3D in all groups. However, statistical comparisons of alveolar airspace size from normal and emphysematous mice yielded similar results in 2D and 3D: compared to control, both the mean and variance of the equivalent diameters increased by 7 days after treatment. These indices further increased from Day 7 to Day 14. During the first 7 days following treatment, the relative change in SD increased at a much faster rate compared to the relative change in mean of equivalent diameter. We conclude that quantifying heterogeneity in structure can provide new insight into the pathogenesis or progression of emphysema which is enhanced by improved sensitivity using 3D measurements.







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