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Analysis of the Asymmetry in RNFL Thickness Using Spectralis OCT Measurements in Healthy and Glaucoma Patients

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Abstract

One of the main diseases that affect to the optic nerve is glaucoma, which causes progressive and irreversible damage that reduces the vision field of the patient. The thickness of the retinal nerve fiber layer is an indicator of the status and progression of this illness. A line of research in the early diagnosis of glaucoma is based on the analysis of the asymmetry between the morphological characteristics of both eyes. This article presents preliminary results that start from this hypothesis and use the relative absolute difference between the thickness of the RNFL in both eyes of the same patient as a characteristic of asymmetry. Results indicate that there is a significant difference in the mean value of the asymmetry between healthy patients and those with glaucoma. As future work, the inclusion of automatic methods for the measurement of the RNFL thickness and the use of classification techniques based on these characteristics of asymmetry for the early diagnosis of glaucoma will be developed.

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Acknowledgments

This work has been partially supported by Spanish National projects AES2017-PI17/00771, AES2017-PI17/00821 (Instituto de Salud Carlos III), and Regional project 20901/PI/18 (Fundación Séneca).

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Authors and Affiliations

  1. Universidad Católica San Antonio, 30107, Murcia, Spain

    Rafael Berenguer-Vidal

  2. Universidad Politécnica de Cartagena, 30202, Cartagena, Spain

    Rafael Verdú-Monedero, Juan Morales-Sánchez & Oleksandr Kovalyk

  3. Hospital General Universitario Reina Sofía, 30003, Murcia, Spain

    Inmaculada Sellés-Navarro

Authors
  1. Rafael Berenguer-Vidal

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  2. Rafael Verdú-Monedero

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  3. Juan Morales-Sánchez

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  4. Inmaculada Sellés-Navarro

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  5. Oleksandr Kovalyk

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Corresponding author

Correspondence toRafael Berenguer-Vidal.

Editor information

Editors and Affiliations

  1. Universidad Politécnica de Cartagena, Cartagena, Spain

    José Manuel Ferrández Vicente

  2. Universidad Nacional de Educación a Distancia, Madrid, Spain

    José Ramón Álvarez-Sánchez

  3. Universidad Nacional de Educación a Distancia, Madrid, Spain

    Félix de la Paz López

  4. Ohio State University, Columbus, OH, USA

    Hojjat Adeli

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Berenguer-Vidal, R., Verdú-Monedero, R., Morales-Sánchez, J., Sellés-Navarro, I., Kovalyk, O. (2022). Analysis of the Asymmetry in RNFL Thickness Using Spectralis OCT Measurements in Healthy and Glaucoma Patients. In: Ferrández Vicente, J.M., Álvarez-Sánchez, J.R., de la Paz López, F., Adeli, H. (eds) Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications. IWINAC 2022. Lecture Notes in Computer Science, vol 13258. Springer, Cham. https://doi.org/10.1007/978-3-031-06242-1_50

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JPY 9723
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