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Diagnostic accuracy of coronary computed tomography angiography-derived fractional flow reserve.

Wenbing JiangYibin PanYumeng HuXiaochang LengJun JiangLi FengYongqing XiaYong SunJian'an WangJianping XiangChangling Li
Published in: Biomedical engineering online (2021)
AccuFFRct computed from CCTA images alone demonstrated high diagnostic performance for detecting lesion-specific ischemia, it showed superior diagnostic power than CCTA and eliminated the risk of invasive tests, which could be an accurate and time-efficient computational tool for diagnosing ischemia and assisting clinical decision-making.
Keyphrases
  • decision making
  • coronary artery
  • coronary artery disease
  • deep learning
  • convolutional neural network
  • high resolution
  • machine learning
  • diffusion weighted imaging
  • heart failure
  • atrial fibrillation