Development and Validation of Generalized Linear Regression Models to PredictVessel Enhancement on Coronary CT Angiography

摘要

ObjectiveWe evaluated the effect of various patient characteristics and time-density curve (TDC)-factors on the test bolus-affected vessel enhancement on coronary computed tomography angiography (CCTA). We also assessed the value of generalized linear regression models (GLMs) for predicting enhancement on CCTA.