Choroidal Thickness in Acute Non-arteritic Anterior Ischemic Optic Neuropathy

Nikkhah, Homayoun; Feizi, Mohadeseh; Abedi, Naser; Karimi, Saeed; Yaseri, Mehdi; Esfandiari, Hamed

doi:10.18502/jovr.v15i1.5946

Cited by 7 publications

(14 citation statements)

References 35 publications

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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: 83%

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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Section: Discussionmentioning

confidence: 83%

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

et al. 2021

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“…Using the Cirrus SD-OCT, Garcıá-Basterra reported decreased PCT in 37 non-acute NAION eyes compared to healthy controls (4). Using the extended depth of imaging SD-OCT (Spectralis, Heidelberg), three groups found increased PCT in NAION and one study reported no difference in PCT between NAION and control eyes (3,5,8,9). With the Triton SS-OCT (used in this study), Peŕez-Sarriegui observed greater PCT whereas Guduru reported decreased CVI (6,7).…”

Section: Discussionmentioning

confidence: 56%

“…The low-resistance peripapillary choroid shares a blood supply with and is directly apposed to the optic nerve, and therefore may contribute to the pathogenesis of NAION (3). Prior OCT studies evaluating peripapillary choroidal thickness (PCT) and choroidal vascular index (CVI; the ratio of the vascular area to total choroid area) have produced mixed results (3)(4)(5)(6)(7)(8)(9). Four studies have shown increased PCT in NAION eyes compared to control eyes (3,5,6,9), one study found decreased PCT in NAION (4), and one study reported no difference (8).…”

Section: Introductionmentioning

confidence: 99%

“…Prior OCT studies evaluating peripapillary choroidal thickness (PCT) and choroidal vascular index (CVI; the ratio of the vascular area to total choroid area) have produced mixed results (3)(4)(5)(6)(7)(8)(9). Four studies have shown increased PCT in NAION eyes compared to control eyes (3,5,6,9), one study found decreased PCT in NAION (4), and one study reported no difference (8). With regards to choroidal vascularity, one study found decreased CVI in NAION (7).…”

Section: Introductionmentioning

confidence: 99%

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Peripapillary Choroidal Vascularity and Visual Correlates in Non-Arteritic Anterior Ischemic Optic Neuropathy Using Swept-Source Optical Coherence Tomography

Katz

Miller

et al. 2022

Front. Ophthalmol.

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IntroductionThe peripapillary choroid shares a blood supply with and is directly apposed to the optic nerve, and therefore may contribute to the pathogenesis of non-arteritic anterior ischemic optic neuropathy (NAION). Prior studies evaluating peripapillary choroidal thickness (PCT) or choroidal vascularity index (CVI; the ratio of the perfused area to total choroid area) have produced mixed results. None investigated the relationship between PCT and CVI or demonstrated functional correlates. We hypothesized that greater PCT and lower CVI would correlate with visual function in patients presenting with NAION.MethodsSeventeen eyes with NAION (9 acute, 8 non-acute) and 6 unaffected “fellow” eyes in 13 patients, and 18 eyes in 18 age-matched control subjects were imaged using swept-source optical coherence tomography (SS-OCT) prospectively between 2017-2018. Mean PCT and CVI measurements were compared across groups and with respect to corresponding automated perimetric performance at the same visit.ResultsAnalysis of variance showed significantly greater PCT (NAION: 278 ± 65 μm, Fellow: 221 ± 50 μm, Control: 158 ± 27 μm, p<0.001) and lower CVI (NAION: 0.35 ± 0.03, Fellow: 0.35 ± 0.04, Control: 0.38 ± 0.02, p<0.005) in patients with NAION compared to control subjects. Bonferroni-corrected pairwise comparisons showed greater PCT and lower CVI in NAION-affected eyes compared to control eyes (p values<0.008), and no significant differences in PCT or CVI between NAION and fellow eyes (p values>0.06). PCT was negatively correlated with CVI among unaffected fellow eyes (r=-0.8, p<0.05), but not among acute NAION eyes (r=-0.1, p>0.7), non-acute NAION eyes (r=0.1, p>0.7), or controls (r=-0.3, p>0.2). Nasal CVI was positively correlated with mean deviation scores in non-acute NAION (r=0.8, p<0.02), but not among fellow unaffected eyes (r=0.8, p>0.05) or acutely affected NAION eyes (r=-0.3, p>0.4). Mean and temporal PCT correlated with pattern standard deviation scores among unaffected fellow eyes (r=0.8, p<0.04; r=0.9, p<0.03), but not among acute NAION eyes (r=-0.2, p>0.5; r=-0.1, p>0.7) or non-acute NAION eyes (r=0.1, p>0.7; r=0.05, p>0.9).ConclusionNAION and unaffected fellow eyes demonstrate increased choroidal thicknesses and reduced vascular density. Perimetric performance is directly associated with vascular density among non-acutely affected eyes with NAION. Ongoing work will provide further insights into these structure-function relationships with pathogenic and pathophysiologic relevance.

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“…It plays an important role in various vision deteriorating diseases such as age related macular degeneration, choroidal neo-vascularization, central serous chorioretinopathy and chorioretinal atrophy in high myopia. 1,2 Choroidal thickness is determined by amount of vascularization and varies by age, sex, refractive state of eye along with any previous history of ocular trauma or surgery like cataract extraction. [3][4][5] Phacoemulsification is most common invasive intraocular surgery for removal of cataract and improves visual outcome markedly.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Choroid Thickness Changes After Uneventful Phacoemulsification Surgery Using Spectral Domain Optical Coherence Tomography at a Tertiary Care Eye Hospital

Rafique

Zafar

Khan

et al. 2022

PAFMJ

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Objective: To analyze the effects of uneventful phacoemulsification surgery on choroidal thickness using spectral domain optical coherence tomography. Study Design: Prospective comparative study. Place and Duration of Study: Armed Forces Institute of Ophthalmology, Rawalpindi, from Jun 2018 to Jun 2019. Methodology: In this prospective study, 300 eyes of 300 patients undergoing phacoemulsification surgery were included. All patients underwent detailed ophthalmologic examination, including measurement with optical biometry, intraocular pressure and choroid thickness. The choroidal thickness was measured perpendicularly at the fovea using spectral domain optical coherence tomography preoperatively and 1 month postoperatively. Changes in intraocular pressure and choroid thickness after surgery were evaluated. Results: There was a statistically significant increase in the choroid thickness in early postoperative period (p-value <0.01). This increment was prominent in sub foveal regions. The intraocular pressure decreased significantly 1 month after surgery (p-value <0.01). The change in intraocular pressure was correlated with the choroid thickness change at sub foveal region. Conclusion: Uncomplicated phacoemulsification induces non-pathologic increase in sub-foveal choroid thickness probably due to the inflammatory insult of the surgery. Long-term follow-up of eyes having phacoemulsification surgery may provide further insight into the effects of cataract surgery on the choroid.

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Choroidal Thickness in Acute Non-arteritic Anterior Ischemic Optic Neuropathy

Cited by 7 publications

References 35 publications

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

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

Peripapillary Choroidal Vascularity and Visual Correlates in Non-Arteritic Anterior Ischemic Optic Neuropathy Using Swept-Source Optical Coherence Tomography

Evaluation of Choroid Thickness Changes After Uneventful Phacoemulsification Surgery Using Spectral Domain Optical Coherence Tomography at a Tertiary Care Eye Hospital

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