Francesca Ravanetti et al. SSC-ILD mouse model induced by osmotic minipump delivered bleomycin: effect of Nintedanib Scientific Reports.
September 16, 2021
How Analyze was Used
“For each acquisition, a stack of 512 cross-sectional images was produced. The reconstructed datasets were analyzed using the Perkin Elmer Analyze software (Analyze 12.0; Copyright 1986–2017…). The images stacks were filtered and converted from grey levels to CT numbers (Hounsfield Units—HU). The conversion is a linear transformation setting −1000 HU as the density of air and 0 HU as the density of water. A semi-automatic segmentation was used to extract airways and lungs. For the quantitative assessment of the lung parenchyma, HU clinical ranges were applied on rescaled HU images to the segmented lung volume to define normo-aerated [(−900, −500) HU] and poorly-aerated [(−500, −100) HU] tissues. The two compartments with a different aeration degree were expressed as percentage of the total lung volume. The poorly-aerated tissue refers to a low gas/tissue ratio and it was used to quantify lung fibrosis progression and evaluate the efficacy of NINT.”
Animal disease models, Respiratory system models, Skin models
University of Parma, Parma, Italy