OPTICAL COHERENCE TOMOGRAPHY BIOMARKERS TO DISTINGUISH DIABETIC MACULAR EDEMA FROM PSEUDOPHAKIC CYSTOID MACULAR EDEMA USING MACHINE LEARNING ALGORITHMS.

Journal: Retina (Philadelphia, Pa.)
PMID: 30312254

Abstract

PURPOSE: In diabetic patients presenting with macular edema (ME) shortly after cataract surgery, identifying the underlying pathology can be challenging and influence management. Our aim was to develop a simple clinical classifier able to confirm a diabetic etiology using few spectral domain optical coherence tomography parameters.

Authors

  • Idan Hecht
    Department of Ophthalmology, Edith Wolfson Medical Center and Sackler School of Medicine, Tel-Aviv University, Holon, Israel.
  • Asaf Bar
    Department of Ophthalmology, Edith Wolfson Medical Center and Sackler School of Medicine, Tel-Aviv University, Holon, Israel.
  • Lior Rokach
  • Romi Noy Achiron
    Department of Ophthalmology, Edith Wolfson Medical Center and Sackler School of Medicine, Tel-Aviv University, Tel Aviv, Israel.
  • Marion R Munk
    Department of Ophthalmology, Inselspital-Bern University Hospital, University of Bern, Bern, Switzerland.
  • Wolfgang Huf
    Center for Medical Physics and Biomedical Engineering, Medical University of ViennaVienna, Austria; MR Centre of Excellence, Medical University of ViennaVienna, Austria.
  • Zvia Burgansky-Eliash
    Department of Ophthalmology, Edith Wolfson Medical Center and Sackler School of Medicine, Tel-Aviv University, Holon, Israel.
  • Asaf Achiron

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