Objective: To investigate the utility of coronary CT angiography-derived fractional flow reserve (FFR) and plaque progression in patients undergoing serial coronary CT angiography for predicting major adverse cardiovascular events (MACE).
Methods: This retrospective study evaluated patients suspected or known coronary artery disease who underwent serial coronary CT angiography examinations between January 2006 and December 2017 and followed up until June 2019. The primary endpoint was MACE, defined as acute coronary syndrome, rehospitalization due to progressive angina, percutaneous coronary intervention, or cardiac death.
This study assessed the ability of metabolic parameters from Fluorodeoxyglucose positron emission tomography/computed tomography (F-FDG PET/CT) and clinicopathological data to predict epidermal growth factor receptor (EGFR) expression/mutation status in patients with lung adenocarcinoma and to develop a prognostic model based on differences in expression status, to enable individualized targeted molecular therapy. Metabolic parameters and clinicopathological data from 200 patients diagnosed with lung adenocarcinoma between July 2009 and November 2016, who underwent F-FDG PET/CT and mutation testing, were retrospectively evaluated. Multivariate logistic regression was applied to significant variables to establish a prediction model for mutation status.
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