Mori Y, et al. - In this retrospective study, researchers analyzed the usefulness of the Bayesian method for predicting patients with insufficient liver enhancement in the gadoxetic acid-enhanced hepatobiliary phase (HBP). The study sample consisted of 576 patients with chronic liver disease. Study participants were divided into 2 groups: insufficient and sufficient liver enhancement in HBP according to the liver-to-portal vein signal intensity ratio. According to results, independent associates of insufficient liver enhancement in HBP included: serum albumin, total bilirubin, platelet count, and liver stiffness by MR elastography (MRE). Findings revealed that the accuracy of Bayesian prediction of insufficient hepatic enhancement was 80.9% for the single parameters of albumin and 79.0% for total bilirubin, and was increased to 85.2% for a combination of albumin, total bilirubin, and hepatic stiffness. Overall, the investigators concluded that Bayesian prediction has been useful in predicting patients with insufficient enhancement by combining serum liver function tests with MRE liver stiffness.