Classification system of clearance of lipids in human tears according to optical coherence tomography parameters

Maria Silvana Galantuomo
First
;
Pietro Emanuele Napoli
Second
;
Franco Coronella;Giovanni Maria Satta
Penultimate
;
Maurizio Fossarello
Last
2015-01-01

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.
2015
Inglese
56
7
http://iovs.arvojournals.org/article.aspx?articleid=2332289&resultClick=1
Comitato scientifico
internazionale
scientifica
no
266
1 Contributo su Rivista::1.5 Abstract in rivista
info:eu-repo/semantics/article
1.5 Abstract in rivista
none
Galantuomo, MARIA SILVANA; Napoli, PIETRO EMANUELE; Coronella, Franco; Satta, GIOVANNI MARIA; Fossarello, Maurizio
5
Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Questionnaire and social

Share on:
Impostazioni cookie