June 2015
Volume 56, Issue 7
Free
ARVO Annual Meeting Abstract  |   June 2015
Classification system of clearance of lipids in human tears according to optical coherence tomography parameters
Author Affiliations & Notes
  • Maria Silvana Galantuomo
    Ophthalmology, University of Cagliari, Cagliari, Italy
  • Pietro Emanuele Napoli
    Ophthalmology, University of Cagliari, Cagliari, Italy
  • Franco Coronella
    Ophthalmology, University of Cagliari, Cagliari, Italy
  • Giovanni Maria Satta
    Ophthalmology, University of Cagliari, Cagliari, Italy
  • Maurizio Fossarello
    Ophthalmology, University of Cagliari, Cagliari, Italy
  • Footnotes
    Commercial Relationships Maria Silvana Galantuomo, None; Pietro Napoli, None; Franco Coronella, None; Giovanni Satta, None; Maurizio Fossarello, None
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science June 2015, Vol.56, 2501. doi:
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      Maria Silvana Galantuomo, Pietro Emanuele Napoli, Franco Coronella, Giovanni Maria Satta, Maurizio Fossarello; Classification system of clearance of lipids in human tears according to optical coherence tomography parameters. Invest. Ophthalmol. Vis. Sci. 2015;56(7 ):2501.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose: To establish a classification system for clearance of lipids (CoL) in human tears according to optical coherence tomography (OCT) parameters. The purpose of this classification system is to provide a uniform and objective assessment of the dynamics of tear lipids with a novel technique of contrast-enhanced optical coherence tomography imaging in evaluation of CoL.

Methods: The CoL appearance grading scale contains a set of OCT images standards illustrating a range of various concentrations of lipids in human tears (0.5%, 0.25%, 0.125%, 0.06%, 0%). These standards consist of OCT scans of the lower tear meniscus (LTM) at baseline and after instillation of a lipid-based tracer (containing different concentrations of lipids) or saline. Fifty-one OCT images were evaluated and scored by three cornea subspecialists in a masked fashion according to the scale.

Results: High inter-observer agreement was found using the scale to classify the CoL, with respect to the appearance of OCT reflectivity (CoL +0.90, interclass correlation coefficient for consistency using a 2-way mixed effect model).

Conclusions: The CoL appearance grading system is a simple, reproducible system for classifying the OCT appearance of turnover of lipids in human tears.

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