Skip to main content
. 2021 Feb 16;299(1):97–106. doi: 10.1148/radiol.2021203179

Figure 1:

Manhattan plots of P values for associations between cocaine use, HIV infection, and elevated atherosclerotic cardiovascular disease (ASCVD) risk and each radiomic parameter. A–C, P values for univariate associations between each radiomic feature and cocaine use, HIV infection, and elevated ASCVD risk in univariate models. D–F, P values for associations between each radiomic feature and cocaine use, HIV infection, and elevated ASCVD risk in multivariate models corrected for high-sensitivity C-reactive protein level as the most common marker of inflammation, positive family history of coronary artery disease (CAD) as an indicator of potential genetic predisposition for CAD progression, statin use because it is known to modify the composition and development of coronary plaques, and the plaque volume itself because we wished to correct for any potential intrinsic correlation between volume and morphologic characteristic. Radiomic parameters are situated on the x-axis in the same order of each subplot, and the corresponding P values are located on the y-saxis. Points above the red line (P = .00004) indicate radiomic features in which the given predictor showed a significant association. There was no overlap between radiomic features associated with cocaine use or elevated ASCVD risk, potentially implying different pathways of plaque progression.

Manhattan plots of P values for associations between cocaine use, HIV infection, and elevated atherosclerotic cardiovascular disease (ASCVD) risk and each radiomic parameter. A–C, P values for univariate associations between each radiomic feature and cocaine use, HIV infection, and elevated ASCVD risk in univariate models. D–F, P values for associations between each radiomic feature and cocaine use, HIV infection, and elevated ASCVD risk in multivariate models corrected for high-sensitivity C-reactive protein level as the most common marker of inflammation, positive family history of coronary artery disease (CAD) as an indicator of potential genetic predisposition for CAD progression, statin use because it is known to modify the composition and development of coronary plaques, and the plaque volume itself because we wished to correct for any potential intrinsic correlation between volume and morphologic characteristic. Radiomic parameters are situated on the x-axis in the same order of each subplot, and the corresponding P values are located on the y-saxis. Points above the red line (P = .00004) indicate radiomic features in which the given predictor showed a significant association. There was no overlap between radiomic features associated with cocaine use or elevated ASCVD risk, potentially implying different pathways of plaque progression.