https://www.selleckchem.com/pr....oducts/cx-4945-silmi
825 [95% confidence interval (CI) 0.823-0.827]. When per-lesion level PV and the presence of HRP were added to Model 1, the predictive value of the model improved the C-statistics to 0.895 [95% CI 0.893-0.897]. The model utilizing per-lesion level CCTA measures was superior to the model utilizing per-patient level CCTA measures in predicting the development of an obstructive lesion (p less then 0.001). Lesion-level analysis of coronary atherosclerotic plaques with CCTA yielded better predictive power for the development
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