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

Figure 3:

Corresponding P values for associations between cocaine use, HIV infection, elevated atherosclerotic cardiovascular disease (ASCVD) risk and the significant radiomic features stratified by sex and age. A, B, Corresponding P values for associations between cocaine use, HIV infection, and increased ASCVD for each radiomic feature stratified by sex. C, D, Corresponding P values for associations between risk factors and each significant radiomic feature stratified by age based on the median age of 51 years. The features are reordered according to hierarchical clustering. Bars extending farther than the red line (P = .00004) indicate significant associations. The sex-based results indicate sex-specific contributions of the different risk factors on coronary atherosclerosis morphologic features. Furthermore, age stratification indicates that different risk factors may have different contributions to atherosclerosis depending on the individual’s age.

Corresponding P values for associations between cocaine use, HIV infection, elevated atherosclerotic cardiovascular disease (ASCVD) risk and the significant radiomic features stratified by sex and age. A, B, Corresponding P values for associations between cocaine use, HIV infection, and increased ASCVD for each radiomic feature stratified by sex. C, D, Corresponding P values for associations between risk factors and each significant radiomic feature stratified by age based on the median age of 51 years. The features are reordered according to hierarchical clustering. Bars extending farther than the red line (P = .00004) indicate significant associations. The sex-based results indicate sex-specific contributions of the different risk factors on coronary atherosclerosis morphologic features. Furthermore, age stratification indicates that different risk factors may have different contributions to atherosclerosis depending on the individual’s age.