Optical coherence tomography in ischemic optic neuropathy

Fard, Masoud Aghsaei; Ghahvehchian, Hossein; Subramanian, Prem S.

doi:10.21037/aes.2019.12.05

Cited by 8 publications

(8 citation statements)

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“…According to the recommendations of the North American Association of Neuroophthalmologists, no treatment with proven efficacy has been found in nonarteritic anterior ischemic optic neuropathy [12]. Therefore, aspirin-cardio for the night and luxfen were prescribed.…”

Section: Discussion Of Research Resultsmentioning

confidence: 99%

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Optical coherent tomography in the diagnosis of inflammatory and ischemic optical neuropathies (clinical cases)

Moyseyenko

2021

SR:MS

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Optic neuropathy is a group of diseases of the optic nerve. Using diagnostic techniques such as ophthalmoscopy and perimetry diagnosis are insufficient, as the found abnormalities are not specific for either inflammation or ischemia. Establishing the predominant factor in the pathogenesis of neuropathy is crucial in determining the method of treatment. The aim of the study: to investigate the features of optic nerve damage using optical coherent tomography (OCT) in optic neuropathy in the acute period. Materials and methods: two patients with visual impairment were examined. Result. Patient G. had concomitant rheumatoid arthritis with unregulated Methotrexate therapy. OCT revealed edema of the nerve fibre layer convinced of the predominance of inflammatory neuropathy (atypical neuritis). Pulse therapy with corticosteroids was prescribed, which gave a positive functional effect. A patient O. with pneumonia on the background of Covid-19 with a history of OST showed a decrease in the thickness of the layer of nerve fibres in the lower segment, and in the angio mode – drusen of the optic disc. Conclusions. Thus, the use of OCT for the diagnosis of optic neuropathies in the acute period showed that under conditions of inflammatory lesions is more characteristic of edema and an increase in the thickness of the layer of nerve fibres. In ischemic neuropathy, on the contrary, a decrease in the thickness of nerve fibres is more characteristic, which correlates in location with the localization of scotoma in the field of view. Therefore, the use of OCT of the optic nerve will help in understanding the pathogenesis of forms of optic neuropathy. This will help in the choice of treatment tactics

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Section: Discussion Of Research Resultsmentioning

confidence: 99%

“…The lowernasal decrease in the thickness of the nerve fiber layer was revealed (Fig. 5), which is also more characteristic of ischemia [12]. The use of OCT angio regimen allowed to identify drusen on the optic discs of both eyes (Fig.…”

Section: Clinical Casementioning

confidence: 92%

Optical coherent tomography in the diagnosis of inflammatory and ischemic optical neuropathies (clinical cases)

Moyseyenko

2021

SR:MS

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“…In the early stages of NAION and papillitis, OCT of the RNFL may show thickening that decreases in the subacute phase. An accurate measurement of the thickness is important as RNFL thickness may be useful for detection of disease progression or improvement 2 , 3 . Commercial OCT machines use automated retinal layer segmentation algorithms to detect the difference in signal intensity between adjacent retinal layers to calculate RNFL thickness.…”

Section: Introductionmentioning

confidence: 99%

Measurement of retinal nerve fiber layer thickness with a deep learning algorithm in ischemic optic neuropathy and optic neuritis

Razaghi

Hedayati

Hejazi

et al. 2022

Sci Rep

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This work aims at determining the ability of a deep learning (DL) algorithm to measure retinal nerve fiber layer (RNFL) thickness from optical coherence tomography (OCT) scans in anterior ischemic optic neuropathy (NAION) and demyelinating optic neuritis (ON). The training/validation dataset included 750 RNFL OCT B-scans. Performance of our algorithm was evaluated on 194 OCT B-scans from 70 healthy eyes, 82 scans from 28 NAION eyes, and 84 scans of 29 ON eyes. Results were compared to manual segmentation as a ground-truth and to RNFL calculations from the built-in instrument software. The Dice coefficient for the test images was 0.87. The mean average RNFL thickness using our U-Net was not different from the manually segmented best estimate and OCT machine data in control and ON eyes. In NAION eyes, while the mean average RNFL thickness using our U-Net algorithm was not different from the manual segmented value, the OCT machine data were different from the manual segmented values. In NAION eyes, the MAE of the average RNFL thickness was 1.18 ± 0.69 μm and 6.65 ± 5.37 μm in the U-Net algorithm segmentation and the conventional OCT machine data, respectively (P = 0.0001).

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“…Optical coherence tomography (OCT) has been applied to measure peripapillary RNFL thickness at a micrometer scale in several optic neuropathies such as non-arteritic anterior ischemic optic neuropathy (NAION) and demyelinating optic neuritis (ON). [1][2][3] In the early stages of NAION and papillitis, OCT of the RNFL may show thickening that decreases in the subacute phase. An accurate measurement of the thickness is important as RNFL thickness may be useful for detection of disease progression or improvement.…”

Section: Introductionmentioning

confidence: 99%

“…An accurate measurement of the thickness is important as RNFL thickness may be useful for detection of disease progression or improvement. [2,3] Commercial OCT machines use automated retinal layer segmentation algorithms to detect the difference in signal intensity between adjacent retinal layers to calculate RNFL thickness. However, misidenti cation of the anterior and posterior boundaries of the RNFL and incomplete segmentation are artifacts that are consistently described.…”

Section: Introductionmentioning

confidence: 99%

Measurement of Retinal Nerve Fiber Layer Thickness with a Deep Learning Algorithm in Ischemic Optic Neuropathy and Optic Neuritis

Razaghi

Hedayati

Hejazi

et al. 2022

Preprint

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This work aims at determining the ability of a deep learning (DL) algorithm to measure retinal nerve fiber layer (RNFL) thickness from optical coherence tomography (OCT) scans in anterior ischemic optic neuropathy (NAION) and demyelinating optic neuritis (ON). The training/validation dataset included 750 RNFL OCT B-scans. Performance of our algorithm was evaluated on 194 OCT B-scans from 70 healthy eyes, 82 scans from 28 NAION eyes, and 84 scans of 29 ON eyes. Results were compared to manual segmentation as a ground-truth and to RNFL calculations from the built-in instrument software. The Dice coefficient for the test images was 0.87. The mean average RNFL thickness using our U-Net was not different from the manually segmented best estimate and OCT machine data in control and ON eyes. In NAION eyes, while the mean average RNFL thickness using our U-Net algorithm was not different from the manual segmented value, the OCT machine data were different from the manual segmented values. In NAION eyes, the MAE of the average RNFL thickness was 1.18 ± 0.69 µm and 6.65 ± 5.37 µm in the U-Net algorithm segmentation and the conventional OCT machine data, respectively (P = 0.0001).

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Optical coherence tomography in ischemic optic neuropathy

Cited by 8 publications

References 0 publications

Optical coherent tomography in the diagnosis of inflammatory and ischemic optical neuropathies (clinical cases)

Optical coherent tomography in the diagnosis of inflammatory and ischemic optical neuropathies (clinical cases)

Measurement of retinal nerve fiber layer thickness with a deep learning algorithm in ischemic optic neuropathy and optic neuritis

Measurement of Retinal Nerve Fiber Layer Thickness with a Deep Learning Algorithm in Ischemic Optic Neuropathy and Optic Neuritis

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