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. Author manuscript; available in PMC: 2021 Apr 28.
Published in final edited form as: J Comput Assist Tomogr. 2019 May-Jun;43(3):452–459. doi: 10.1097/RCT.0000000000000862

TABLE 3.

Linear Regression Analysis for Model 1 (Semiautomated Approach, Continuous Imaging Features) and Model 2 (Semiautomated Approach, Dichotomized Imaging Features)

Model 1 (Semiautomated Approach, Continuous Imaging Features)
Model 2 (Semiautomated Approach, Dichotomized Imaging Features)
95% CI
95% CI
Maximum Lipid Estimate Lower Upper SE t P Estimate Lower Upper SE t P
(Intercept) −12.04 −25.320 1.239 6.658 −1.808 0.075 4.966 0.936 8.995 2.021 2.456 0.016
LRNC volume as a proportion of total wall volume 52.16 −25.670 129.985 39.02 1.337 0.186
Vessel volume that includes the lumen and wall 0.0004 −0.0001 0.001 0.0003 1.641 0.105 8.702 2.541 14.863 3.091 2.815 0.006
Maximum cross-sectional calcified area −0.173 −0.416 0.070 0.122 −1.420 0.160
Maximum cross-sectional dilation based on lumen diameter −1.231 −2.317 −0.144 −0.549 −2.258 0.027 −1.351 −2.496 −0.206 0.574 −2.352 0.021
Maximum lipid-rich necrotic core area 0.431 0.099 0.763 0.166 2.589 0.012 23.45 4.421 42.47 9.548 2.456 0.016
Thickest wall across all cross sections of the target 4.713 1.523 7.904 1.600 2.946 0.004 8.344 1.107 15.582 3.632 2.298 0.024
Maximum cross-sectional wall area 0.155 0.065 0.245 0.045 3.435 0.001 0.128 0.052 0.204 0.038 3.372 0.001
Minimum cross-sectional lumen area −0.452 −1.073 0.169 −0.311 −1.452 0.151
Wall volume divided by vessel volume inclusive of lumen and wall 7.110 0.225 13.994 3.452 2.060 0.043 7.737 −2.619 18.094 5.196 1.489 0.141