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Analysis of Foveal Microvascular Abnormalities in Diabetic Retinopathy Using Optical Coherence Tomography Angiography with Projection Artifact Removal.

Lun Liunull Jian GaoWeili BaoChengyang HuYajing XuBing-Ying ZhaoJie ZhengLingling FanYehuan Sun
Published in: Journal of ophthalmology (2018)
Compared with the FAZ area, AI allows a more helpful quantitative assessment of the changes in the FAZ. Vessel density determined using OCTA with PAR might be a useful parameter indicating the progression of DR. Parafoveal vessel density in the DCP after PAR might be a potential early biomarker of DR before appearance of clinically evident retinopathy and needs further investigation.
Keyphrases
  • diabetic retinopathy
  • optical coherence tomography
  • editorial comment
  • image quality
  • artificial intelligence
  • computed tomography
  • machine learning
  • dual energy