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Multimodal imaging and adaptive optics in internal limiting membrane dystrophy.

Avadhesh Oli1, Divya Balakrishnan2

  • 1Smt Kanuri Santhamma Center for Vitreo-retinal diseases, LV Prasad Eye Institute, Hyderabad, Telangana, India.

BMJ Case Reports
|August 21, 2020
PubMed
Summary

This study reports a rare case of Muller cell sheen dystrophy in an 18-year-old, identified through detailed clinical examination. Advanced imaging revealed thickened internal limiting membrane (ILM), offering new insights into this condition.

Keywords:
macularetina

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Area of Science:

  • Ophthalmology
  • Retinal Diseases
  • Cellular Biology

Background:

  • Muller cell sheen dystrophy is a rare inherited retinal disorder characterized by abnormal deposits on the internal limiting membrane (ILM).
  • Early diagnosis and understanding of ILM dystrophy are crucial for managing visual impairment and potential progression.

Observation:

  • An 18-year-old male presented with a 2-year history of gradually worsening blurred vision in both eyes.
  • Clinical examination revealed an exaggerated shiny reflex from the ILM and a wrinkled inner retinal surface.
  • Optical coherence tomography confirmed a thickened ILM, with normal electrodiagnostic tests and photoreceptor structure on adaptive optics.

Findings:

  • The patient exhibited characteristic signs of ILM dystrophy, potentially representing one of the youngest cases reported.
  • Adaptive optics imaging, not previously reported in ILM dystrophy, showed normal central macular photoreceptor function.
  • The thickened ILM was a key diagnostic feature, visible on both fundus photography and OCT.

Implications:

  • This case highlights the importance of thorough ophthalmological examination for diagnosing rare retinal conditions like Muller cell sheen dystrophy.
  • The use of adaptive optics in ILM dystrophy provides novel insights into photoreceptor integrity despite ILM abnormalities.
  • Further research into ILM dystrophy pathogenesis and advanced imaging techniques may improve diagnostic accuracy and patient outcomes.