Peripapillary Choroidal Thickness Analysis Using Swept-Source Optical Coherence Tomography in Glaucoma Patients: A Broader Approach

Júlvez, Luis Pablo; Cameo, Beatriz; Bambo, M; Polo, Vicente; Larrosa, José M.; Fuertes, M. I.; Güerri, Noemí; Ferrández, Blanca; García‐Martín, Elena

doi:10.1159/000479877

Cited by 13 publications

(11 citation statements)

References 34 publications

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“…This result emphasizes that the evaluation of RNFLI thickness in the early stages of glaucoma may be an important parameter concerning follow-up. In a study evaluating peripapillary CT in glaucoma cases, the CT in the inferior quadrant was found to be thinner than others (21). This result supports our conclusion that the inferior quadrant is the first affected quadrant.…”

Section: Discussionsupporting

confidence: 83%

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Choroidal Thickness and Its Correlations with Ocular Parameters in Primary Open-Angle Glaucoma

Kutluksaman¹

2019

Beyoglu Eye J

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To evaluate the relationships between macular choroidal thickness (mCT) and ocular parameters, such as optic nerve head (ONH) and multifocal electroretinogram (mf-ERG) parameters, in cases with primary open-angle glaucoma (POAG). Methods: This controlled and prospective clinical trial included 49 patients with POAG diagnosed for the fırst time and 47 healthy participants. Macular CTs, ONH and mf-ERG parameters were measured, and the examination findings were recorded at baseline and follow-ups. Results: In the POAG group, the mean mCT was 254.92±37.65 μm at baseline, and it was 235.6±38.48 μm at 3-month and was 237.55±37.27 μm at 6-month. In the glaucoma group, there was a significant decrease in the first three months despite the treatment, but no significant change was observed in the next three months. In the healthy group, the mean mCTs were 287.78±26.77 μm, 285.48±25.58 μm and 285.02±27.44 μm at baseline, at 3-month and at 6-month, respectively. No significant change was observed in the control group throughout the process. However, the mean mCT values in the glaucoma group were significantly thinner in all controls compared to the healthy group (p<0.05). Furthermore, significant correlations were found between CT and some ONH, as well as mf-ERG parameters. Conclusion: The choroid can play an important role in the pathogenesis of glaucoma. Significant correlations in parameters support this relationship. We have observed that the glaucomatous effect initiated first in the inferior quadrant of ONH.

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Section: Discussionsupporting

confidence: 83%

“…However, in recent years, peripapillary choroidal thickness measurements have been performed. Due to these measurements, significant changes and their correlations between ocular parameters were observed in glaucoma (21,22). Many previous reports have suggested that no association between GON and subfoveal CT exists (23,24).…”

Section: Discussionmentioning

confidence: 84%

Choroidal Thickness and Its Correlations with Ocular Parameters in Primary Open-Angle Glaucoma

Kutluksaman¹

2019

Beyoglu Eye J

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“…However, the accuracy of depicting choroid layer declined in the extremely thick group in this study, a finding that has also been previously reported. Ophthalmologists have put focus on pathophysiology between choroid layer and various ocular diseases ranging from anterior segment (keratoconus, glaucoma) to posterior segment (AMD, PCV, optic neuropathy) [29][30][31][32][33][34]. Through the experimental thirty cases in our study, the feasibility of this Mask R-CNN model has been proved.…”

Section: Discussionmentioning

confidence: 84%

Automatic Segmentation of Choroid Layer Using Deep Learning on Spectral Domain Optical Coherence Tomography

et al. 2021

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The purpose of this article is to evaluate the accuracy of the optical coherence tomography (OCT) measurement of choroidal thickness in healthy eyes using a deep-learning method with the Mask R-CNN model. Thirty EDI-OCT of thirty patients were enrolled. A mask region-based convolutional neural network (Mask R-CNN) model composed of deep residual network (ResNet) and feature pyramid networks (FPNs) with standard convolution and fully connected heads for mask and box prediction, respectively, was used to automatically depict the choroid layer. The average choroidal thickness and subfoveal choroidal thickness were measured. The results of this study showed that ResNet 50 layers deep (R50) model and ResNet 101 layers deep (R101). R101 U R50 (OR model) demonstrated the best accuracy with an average error of 4.85 pixels and 4.86 pixels, respectively. The R101 ∩ R50 (AND model) took the least time with an average execution time of 4.6 s. Mask-RCNN models showed a good prediction rate of choroidal layer with accuracy rates of 90% and 89.9% for average choroidal thickness and average subfoveal choroidal thickness, respectively. In conclusion, the deep-learning method using the Mask-RCNN model provides a faster and accurate measurement of choroidal thickness. Comparing with manual delineation, it provides better effectiveness, which is feasible for clinical application and larger scale of research on choroid.

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“…Recent clinical studies suggest that the contribution of the choroid to the pathophysiology of a range of ocular diseases such as age-related macular degeneration 22 , central serous chorioretinopathy 23 , and glaucoma 24 are not restricted to the macular region. However, in the absence of normative thickness data for the peripheral choroid, it is difficult to attribute changes in peripheral choroidal thickness solely to disease processes.…”

Section: Introductionmentioning

confidence: 99%

Wide-field choroidal thickness in myopes and emmetropes

Hoseini-Yazdi

Vincent

Collins

et al. 2019

Sci Rep

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There is a paucity of knowledge regarding the normal in-vivo thickness of the choroid beyond the macula (~17°). In this study, the choroidal thickness of 27 healthy young adults was examined across the macular (the central 5 mm including the fovea, parafovea, and perifovea) and extra-macular (a 5–14 mm annulus including the near-periphery and periphery) regions using wide-field optical coherence tomography, and compared between emmetropes (n = 14) and myopes (n = 13). The choroid progressively thinned beyond the parafovea (350 ± 86 µm) towards the periphery (264 ± 44 µm), and was thickest superiorly (355 ± 76 µm) and thinnest nasally (290 ± 79 µm). Choroidal thickness also varied with refractive error; myopes exhibited a thinner choroid than emmetropes in the macular region (311 ± 88 vs. 383 ± 66 µm), however, this difference diminished towards the periphery (251 ± 48 vs. 277 ± 37 µm). Meridional variations in choroidal thickness were not different between myopes and emmetropes. In conclusion, the choroid was thickest within the perifovea; thinned substantially towards the periphery, and exhibited the minimum and maximum peripheral thinning superiorly and nasally across a 55° region respectively. Choroidal thinning associated with myopia was more pronounced in the macular than extra-macular regions.

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Peripapillary Choroidal Thickness Analysis Using Swept-Source Optical Coherence Tomography in Glaucoma Patients: A Broader Approach

Cited by 13 publications

References 34 publications

Choroidal Thickness and Its Correlations with Ocular Parameters in Primary Open-Angle Glaucoma

Choroidal Thickness and Its Correlations with Ocular Parameters in Primary Open-Angle Glaucoma

Automatic Segmentation of Choroid Layer Using Deep Learning on Spectral Domain Optical Coherence Tomography

Wide-field choroidal thickness in myopes and emmetropes

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