Literature DB >> 28858153

Attenuation Coefficients From SD-OCT Data: Structural Information Beyond Morphology on RNFL Integrity in Glaucoma.

Gijs Thepass1, Hans G Lemij, Koenraad A Vermeer.   

Abstract

PURPOSE: The purpose of this study is to explore the attenuation coefficient (AC) of the retinal nerve fiber layer (RNFL) in spectral domain optical coherence tomography (OCT) images, in healthy eyes and eyes affected by glaucoma. To assess the relation between RNLF AC, disease severity, RNFL thickness, visual field sensitivity threshold, spatial location and age. PATIENTS AND METHODS: We analyzed peripapillary circle scans of a clinical OCT device (Spectralis OCT, Heidelberg Engineering, Heidelberg, Germany) in 102 glaucoma patients and 90 healthy controls. The images were fully automatically converted into depth-resolved AC images. Next, the median AC within the RNFL was calculated based on the Spectralis segmentation. We compared the RNFL AC between healthy, mild, moderate and advanced glaucomatous eyes and assessed the correlation with patient characteristics such as age and visual field sensitivity threshold (HFA, Carl Zeiss Meditec, Dublin, CA) in a generalized estimating equations (GEE) model. Finally, we explored the ability to discriminate between glaucomatous and healthy eyes by RNFL AC.
RESULTS: Median RNFL AC decreased with increasing disease severity up to moderate glaucoma (P<0.001) in all 4 sectors around the optic nerve head. The largest relative decrease occurred in the nasal sector. The RNFL AC (AUC, 0.834±0.028) effectively discriminated healthy from glaucomatous eyes, although RNFL thickness (AUC, 0.975±0.013) performed even better (P<0.001). Prediction of visual field sensitivity improved significantly when RNFL thickness was augmented with RNFL AC as covariates (P<0.001).
CONCLUSIONS: This study demonstrated that RNFL AC provides complementary information on the RNFL's health compared with RNFL thickness measurements alone.

Entities:  

Mesh:

Year:  2017        PMID: 28858153     DOI: 10.1097/IJG.0000000000000764

Source DB:  PubMed          Journal:  J Glaucoma        ISSN: 1057-0829            Impact factor:   2.503


  10 in total

1.  Machine-learning based segmentation of the optic nerve head using multi-contrast Jones matrix optical coherence tomography with semi-automatic training dataset generation.

Authors:  Deepa Kasaragod; Shuichi Makita; Young-Joo Hong; Yoshiaki Yasuno
Journal:  Biomed Opt Express       Date:  2018-06-21       Impact factor: 3.732

2.  In vivo exploration of retinal nerve fiber layer morphology in Parkinson's disease patients.

Authors:  Femke Visser; Koenraad A Vermeer; Babak Ghafaryasl; Annemarie M M Vlaar; Valentin Apostolov; Jan van Hellenberg Hubar; Henry C Weinstein; Johannes F de Boer; Henk W Berendse
Journal:  J Neural Transm (Vienna)       Date:  2018-03-08       Impact factor: 3.575

3.  Within-eye and between-subject variability for reflectance of the retinal nerve fibre layer.

Authors:  Hin Cheung; William H Swanson; Brett J King
Journal:  Ophthalmic Physiol Opt       Date:  2022-08-01       Impact factor: 3.992

4.  Layer-based, depth-resolved computation of attenuation coefficients and backscattering fractions in tissue using optical coherence tomography.

Authors:  Taylor M Cannon; Brett E Bouma; Néstor Uribe-Patarroyo
Journal:  Biomed Opt Express       Date:  2021-07-20       Impact factor: 3.562

5.  Contrast-to-Noise Ratios to Evaluate the Detection of Glaucomatous Progression in the Superior and Inferior Hemiretina.

Authors:  Juleke E A Majoor; Koenraad A Vermeer; Hans G Lemij
Journal:  Transl Vis Sci Technol       Date:  2022-05-02       Impact factor: 3.048

6.  A Simple Subjective Evaluation of Enface OCT Reflectance Images Distinguishes Glaucoma From Healthy Eyes.

Authors:  Riccardo Cheloni; Simon D Dewsbery; Jonathan Denniss
Journal:  Transl Vis Sci Technol       Date:  2021-05-03       Impact factor: 3.283

7.  Within-subject variability in human retinal nerve fiber bundle width.

Authors:  William H Swanson; Brett J King; Stephen A Burns
Journal:  PLoS One       Date:  2019-10-16       Impact factor: 3.240

8.  Diagnostic Capability of 3D Peripapillary Retinal Volume for Glaucoma Using Optical Coherence Tomography Customized Software.

Authors:  Yingna Liu; Firas Jassim; Boy Braaf; Ziad Khoueir; Linda Yi-Chieh Poon; Geulah S Ben-David; Georgia Papadogeorgou; Edem Tsikata; Huseyin Simavli; Christian Que; Ramon Lee; Eric Shieh; Benjamin J Vakoc; Brett E Bouma; Johannes F de Boer; Teresa C Chen
Journal:  J Glaucoma       Date:  2019-08       Impact factor: 2.503

Review 9.  Detection of Glaucoma Deterioration in the Macular Region with Optical Coherence Tomography: Challenges and Solutions.

Authors:  Kouros Nouri-Mahdavi; Robert E Weiss
Journal:  Am J Ophthalmol       Date:  2020-09-18       Impact factor: 5.258

10.  Artifact Rates for 2D Retinal Nerve Fiber Layer Thickness Versus 3D Neuroretinal Rim Thickness Using Spectral-Domain Optical Coherence Tomography.

Authors:  Elli A Park; Edem Tsikata; Jenny Jyoung Lee; Eric Shieh; Boy Braaf; Benjamin J Vakoc; Brett E Bouma; Johannes F de Boer; Teresa C Chen
Journal:  Transl Vis Sci Technol       Date:  2020-09-10       Impact factor: 3.283

  10 in total

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