Author: Cereda, Maurizio; Xin, Yi; Hamedani, Hooman; Bellani, Giacomo; Kadlecek, Stephen; Clapp, Justin; Guerra, Luca; Meeder, Natalie; Rajaei, Jennia; Tustison, Nicholas J; Gee, James C; Kavanagh, Brian P; Rizi, Rahim R
Title: Tidal changes on CT and progression of ARDS Document date: 2017_6_20
ID: sncded7z_36
Snippet: In the first stage of model building, each image was used to correlate high-risk and severely injured voxels with the voxel distribution at the subsequent time points (ie, at 1-hour intervals; online supplementary figure 7). This model was then used to predict the quotas of severe injury voxels at the end of the experiment, starting from baseline values (R=0.77, p<0.01; figure 4A , B). Finally, the baseline percent of 'high-risk' tissue predicted.....
Document: In the first stage of model building, each image was used to correlate high-risk and severely injured voxels with the voxel distribution at the subsequent time points (ie, at 1-hour intervals; online supplementary figure 7). This model was then used to predict the quotas of severe injury voxels at the end of the experiment, starting from baseline values (R=0.77, p<0.01; figure 4A , B). Finally, the baseline percent of 'high-risk' tissue predicted the degree of reduction in C dyn (figure 4C) and the increase in driving pressure between the beginning and the end of the experiment (see online supplementary figure 8).
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