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A Myopic Normative Database for Retinal Nerve Fiber Layer Thickness Using Optical Coherence Tomography.

Hayati Yilmaz1, Yağmur Seda Yeşiltaş2, Emre Aydemir3

  • 1Department of Ophthalmology, Hitit University, Medical Faculty, Erol Olcok Training and Research Hospital, Corum.

Journal of Glaucoma
|July 26, 2022
PubMed
Summary

A new myopic normative database significantly improved optical coherence tomography (OCT) color code analysis for retinal nerve fiber layer (RNFL) assessment. This enhances glaucoma diagnosis accuracy in myopic individuals.

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Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Glaucoma Diagnostics

Background:

  • Standard optical coherence tomography (OCT) normative databases may not accurately represent the retinal nerve fiber layer (RNFL) in myopic eyes.
  • This can lead to misinterpretation of diagnostic results and potentially impact glaucoma assessment.

Purpose of the Study:

  • To evaluate peripapillary retinal nerve fiber layer (pRNFL) OCT color codes using a novel myopic normative database.
  • To compare diagnostic performance against the built-in normative database for glaucoma detection in myopic patients.

Main Methods:

  • A myopic normative database was generated from 371 subjects.
  • Eighty myopic glaucomatous and 80 healthy myopic eyes were analyzed.
  • pRNFL OCT color code distribution and abnormal frequency were compared between the built-in and myopic databases.

Main Results:

  • The myopic database showed decreased agreement with increasing myopia.
  • Specificity of pRNFL color codes increased from 70.1% to 90.2% with the myopic database.
  • Area under the ROC curve improved from 0.851 to 0.945, indicating enhanced diagnostic performance.

Conclusions:

  • A myopic normative database for pRNFL OCT analysis in South Africa significantly reduces discrepancies across myopia severity groups.
  • This specialized database aids in more reliable glaucoma assessment for individuals with myopia.