Classification of human retinal microaneurysms using adaptive optics scanning light ophthalmoscope fluorescein

Michael Dubow1, Alexander Pinhas, Nishit Shah

  • 1Department of Ophthalmology, New York Eye and Ear Infirmary, New York, New York.

Abstract

Insights

Microaneurysms (MAs) in retinal vascular disease can now be classified into six types using adaptive optics scanning light ophthalmoscopy fluorescein angiography. This in vivo imaging allows for detailed study of microvascular changes, aiding disease understanding and treatment.

Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Retinal Vascular Diseases

Background:

  • Microaneurysms (MAs) are key indicators of retinal vascular disease.
  • Previous MA research relied on histology, limiting clinical observation.
  • Adaptive optics scanning light ophthalmoscopy (AOSLO) offers advanced in vivo imaging capabilities.

Purpose of the Study:

  • To image human microaneurysms (MAs) in vivo using adaptive optics scanning light ophthalmoscopy (AOSLO) fluorescein angiography (FA).
  • To expand existing morphological classification schemes for MAs.
  • To correlate MA morphology with retinal pathology.

Main Methods:

  • Vascular retinopathy patients underwent imaging with reflectance AOSLO and AOSLO FA.
  • Ninety-three MAs from 14 eyes were classified into six morphologic groups.
  • MA dimensions were correlated with morphology and pathology; longitudinal imaging was performed on select MAs.

Main Results:

  • AOSLO FA revealed microscopic MA features not visible with conventional imaging.
  • Saccular MAs were the most common type (47%).
  • No significant association was found between MA morphology and specific retinal pathologies. Pedunculated and irregular MAs were largest. Focal hypofluorescent regions correlated with larger MAs.

Conclusions:

  • Retinal MAs can be classified in vivo into six distinct morphologic types based on their 2D en face view.
  • AOSLO FA imaging of MAs enables study at a histologic scale.
  • This advanced imaging may improve understanding of disease progression and treatment efficacy.

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