July 2018
Volume 59, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2018
Quantification of the tear film lipid layer using optical coherence tomography.
Author Affiliations & Notes
  • Valentin Aranha dos Santos
    Center for medical physics, Medical University of Vienna, Vienna, Austria
    Christian Doppler Laboratory for Ocular and Dermal Effects of Thiomers., Vienna, Austria
  • Leopold Schmetterer
    Singapore Eye Research Institute, Singapore, Singapore
    Christian Doppler Laboratory for Ocular and Dermal Effects of Thiomers., Vienna, Austria
  • Hannes Stegmann
    Center for medical physics, Medical University of Vienna, Vienna, Austria
    Christian Doppler Laboratory for Ocular and Dermal Effects of Thiomers., Vienna, Austria
  • Gerhard Garhofer
    Department of clinical pharmacology, Medical University of Vienna, Vienna, Austria
    Christian Doppler Laboratory for Ocular and Dermal Effects of Thiomers., Vienna, Austria
  • Doreen Schmidl
    Department of clinical pharmacology, Medical University of Vienna, Vienna, Austria
    Christian Doppler Laboratory for Ocular and Dermal Effects of Thiomers., Vienna, Austria
  • Rene Marcel Werkmeister
    Center for medical physics, Medical University of Vienna, Vienna, Austria
    Christian Doppler Laboratory for Ocular and Dermal Effects of Thiomers., Vienna, Austria
  • Footnotes
    Commercial Relationships   Valentin Aranha dos Santos, None; Leopold Schmetterer, None; Hannes Stegmann, None; Gerhard Garhofer, None; Doreen Schmidl, None; Rene Werkmeister, None
  • Footnotes
    Support  Vienna Science and Technology Fund (WWTF) grant number LS14- 067. Christian Doppler Laboratory for Ocular and Dermal Effects of Thiomers. Austrian Federal Ministry of Economy, Family and Youth, National Foundation of Research, Technology and Development.
Investigative Ophthalmology & Visual Science July 2018, Vol.59, 271. doi:
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      Valentin Aranha dos Santos, Leopold Schmetterer, Hannes Stegmann, Gerhard Garhofer, Doreen Schmidl, Rene Marcel Werkmeister; Quantification of the tear film lipid layer using optical coherence tomography.. Invest. Ophthalmol. Vis. Sci. 2018;59(9):271.

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

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Abstract

Purpose : To quantify the tear film lipid layer (TFLL) noninvasively using an ultrahigh-resolution optical coherence tomography (OCT) and a novel post-processing algorithm and to measure its changes after instillation of a lipid-containing lubricating emulsion (Cationorm, Santen Pharmaceutical).

Methods : An ultrahigh-resolution OCT system with a theoretical axial resolution of 1.2 μm in tissue was used for imaging of the TFLL. After baseline measurement, each of the 20 subjects in the control group received one drop of Hydrabak (0.9% NaCl solution). Each of the 10 healthy subjects in the study group received one drop of Cationorm. OCT-based TFLL quantity was determined using the air-tear reflectivity map of the central cornea and a novel algorithm (TFLLOCT). TFLL thickness was also measured using a commercially available system (Lipiview, TearScience Inc.) based on white-light interferometry (TFLLWLI).

Results : OCT-based TFLLOCT quantity increased on average by 34 % after administration of Cationorm (Fig. 2). The maximum increase (60.8% ± 28%) occurred after 30 minutes. In the control group, OCT-based TFLL quantity measurements revealed an average increase of 7.2% (cf. Fig. 2) over all measurement time points after instillation of Hydrabak. The average inter-volume coefficient of variation of the OCT-based TFLL quantity value was 13.9%. TFLLWLI thickness measurements using the Lipiview system yielded an average increase of 17.6% in the study group.

Conclusions : An OCT-based approach for determination of the TFLL quantity was reported. This method could be used to study the role of the lipid layer in the formation of a stable tear film and its influence on the evaporation rate. Furthermore, it has the potential to be used in clinical settings investigating dry eye diseases and for testing efficacy of lipid-based dry eye treatments.

This is an abstract that was submitted for the 2018 ARVO Annual Meeting, held in Honolulu, Hawaii, April 29 - May 3, 2018.

 

Fig. 1. OCT-based determination of the TFLL quantity using reflectance maps of the air-tear interface. (A) Model of the pre-corneal tear film and its corresponding OCT signal. (B-D) Representative air-tear interface reflectivity maps. (E) Model-based quantification of the TFLL thickness.

Fig. 1. OCT-based determination of the TFLL quantity using reflectance maps of the air-tear interface. (A) Model of the pre-corneal tear film and its corresponding OCT signal. (B-D) Representative air-tear interface reflectivity maps. (E) Model-based quantification of the TFLL thickness.

 

Fig. 2. Relative change of TFLL in comparison to baseline after instillation of (A) Cationorm (B) Hydrabak (control). Data are presented as mean change ± SD.

Fig. 2. Relative change of TFLL in comparison to baseline after instillation of (A) Cationorm (B) Hydrabak (control). Data are presented as mean change ± SD.

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