Computed Tomography Angiography Images of Coronary Artery Stenosis Provide a Better Prediction of Risk Than Traditional Risk Factors in Asymptomatic Individuals With Type 2 Diabetes: A Long-term Study of Clinical Outcomes.

Kwan Yong LeeByung-Hee HwangTae-Hoon KimChan Jun KimJin-Jin KimEun-Ho ChooIk Jun ChoiYoung ChoiHa-Wook ParkYoon-Seok KohPum-Joon KimJong Min LeeMi-Jeong KimDoo Soo JeonJae-Hyoung ChoJung Im JungKi-Bae SeungKiyuk Chang

Published in: Diabetes care (2017)

Based on our data, the addition of CCTA-detected obstructive CAD to models that include traditional risk factors improves the predictions of MACE in asymptomatic patients with type 2 diabetes.

Keyphrases

risk factors
coronary artery
pulmonary artery
coronary artery disease
deep learning
electronic health record
convolutional neural network
optical coherence tomography
big data
magnetic resonance
machine learning
computed tomography
pulmonary arterial hypertension