The effect of coronary calcification on diagnostic performance of machine learning-based CT-FFR: a Chinese multicenter study.

Meng Di JiangXiao Lei ZhangHui LiuChun Xiang TangJian Hua LiYi Ning WangPeng Peng XuChang Sheng ZhouFan ZhouMeng Jie LuJia Yin ZhangMeng Meng YuYang HouMin Wen ZhengBo ZhangDai Min ZhangYan YiLei XuXiu Hua HuJian YangGuang Ming LuQian Qian NiLong Jiang Zhang

Published in: European radiology (2020)

• CT-FFR provides superior diagnostic performance than CCTA alone regardless of coronary calcification. • No significant differences in the diagnostic performance of CT-FFR were observed in coronary arteries with different coronary calcification arcs and calcified remodeling indexes. • No significant differences in the diagnostic accuracy of CT-FFR were observed in coronary arteries with different coronary calcification score levels.

Keyphrases

coronary artery
coronary artery disease
computed tomography
image quality
machine learning
dual energy
chronic kidney disease
contrast enhanced
aortic stenosis
magnetic resonance imaging
positron emission tomography
aortic valve
artificial intelligence