AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
The combined model based on prior myocardial infarction, hyperlipidemia, ∆CT-FFR and CAD-RADS can effectively predict the risk of MACE in T2DM patients with stable CAD.
Dynamic CT–MPI combined with CCTA demonstrated that the presence of OCAD in T2DM patients is associated with a greater occurrence of MMI, and MBF emerged as a robust predictor of cardiovascular outcomes in this population.
The obstructive CAD prognostic model based on categorical predictors demonstrated higher accuracy and reliability than the model with continuous predictors and echocardiographic parameters had no value for predicting obstructive CAD.
In patients with ST‐T changes, LVGLS, male sex, and typical chest pain independently predict the presence of CAD, while LVGLS is also strongly associated with disease severity.
RATIONALE The time-dependent contributions of coronary atherosclerotic plaque burden and myocardial ischemia to clinical outcomes in suspected coronary artery disease (CAD) remain uncertain. This study aimed to evaluate the temporal associations of quantitatively assessed plaque burden and ischemia with cardiovascular...
In-stent restenosis (ISR) remains an important limitation of percutaneous coronary intervention. Computed tomography-derived fractional flow reserve (CT-FFR) combines anatomical and functional assessment, but its diagnostic and prognostic value in patients with suspected ISR is not well established. We evaluated th...
Background: Multiple clinical and biochemical risk factors for CAD have been known. Computed tomography (CT) angiography [also abbreviated as CTA] has been proven to be useful in identifying patients with diabetes who are having underlying coronary artery disease (CAD), but there is a risk of radiation exposure associa...
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