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An optical coherence tomography-based grading of diabetic maculopathy proposed by an international expert panel: The European School for Advanced Studies in Ophthalmology classification.

Giacomo PanozzoMaria Vittoria CicinelliAlbert J AugustinMaurizio Battaglia ParodiJosè Cunha-VazGiuseppe GuarnacciaLaurent KodjikianLee Merrill JampolAnselm JünemannPaolo LanzettaAnat LöwensteinEdoardo MidenaRafael NavarroFrancesca AmorosoFederico RicciUrsula Schmidt-ErfurthRufino Martins da SilvaSobha SivaprasadMonica VaranoGianni VirgiliFrancesco Bandello
Published in: European journal of ophthalmology (2019)
A novel grading system of diabetic maculopathy is hereby proposed. The classification is aimed at providing a simple, direct, objective tool to classify diabetic maculopathy (irrespective to the treatment status) even for non-retinal experts and can be used for therapeutic and prognostic purposes, as well as for correct evaluation and reproducibility of clinical investigations.
Keyphrases
  • optical coherence tomography
  • type diabetes
  • wound healing
  • machine learning
  • deep learning
  • diabetic retinopathy
  • physical activity
  • artificial intelligence
  • optic nerve
  • combination therapy
  • high school