Paediatric norms for photopic electroretinogram testing based on a large cohort of Chinese preschool children

Chan, Sonia Seen-hang; Choi, Kai Yip; Chan, Henry Ho-lung

doi:10.1136/bmjophth-2023-001393

Cited by 2 publications

(1 citation statement)

References 36 publications

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“…This approach can be applied to any minority class or where additional reference data may be required. The development of synthetic ERGs may also reduce the number of animals used in the studies and improve the statistical accuracy of classification studies in rare and complex populations, further broadening the clinical use of the ERG and its wider diagnostic potential [ 36 , 37 ] by upscaling existing clinical reference ranges [ 38 , 39 ] or expanding rare or difficult to reach clinical populations. The implementation of a generative adversarial network approach was used to illustrate the potential of using synthetic data to balance the under-represented male class in a dataset of normal participants.…”

Section: Introductionmentioning

confidence: 99%

Generating Synthetic Light‐Adapted Electroretinogram Waveforms Using Artificial Intelligence to Improve Classification of Retinal Conditions in Under‐Represented Populations

Kulyabin,

Zhdanov,

Maier

et al. 2024

Journal of Ophthalmology

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Visual electrophysiology is often used clinically to determine the functional changes associated with retinal or neurological conditions. The full‐field flash electroretinogram (ERG) assesses the global contribution of the outer and inner retinal layers initiated by the rods and cone pathways depending on the state of retinal adaptation. Within clinical centers, reference normative data are used to compare clinical cases that may be rare or underpowered within a specific demographic. To bolster either the reference dataset or the case dataset, the application of synthetic ERG waveforms may offer benefits to disease classification and case‐control studies. In this study and as a proof of concept, artificial intelligence (AI) to generate synthetic signals using generative adversarial networks is deployed to upscale male participants within an ISCEV reference dataset containing 68 participants, with waveforms from the right and left eye. Random forest classifiers further improved classification for sex within the group from a balanced accuracy of 0.72–0.83 with the added synthetic male waveforms. This is the first study to demonstrate the generation of synthetic ERG waveforms to improve machine learning classification modelling with electroretinogram waveforms.

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Section: Introductionmentioning

confidence: 99%

Generating Synthetic Light‐Adapted Electroretinogram Waveforms Using Artificial Intelligence to Improve Classification of Retinal Conditions in Under‐Represented Populations

Kulyabin,

Zhdanov,

Maier

et al. 2024

Journal of Ophthalmology

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Interaction of retinal electrophysiology and novel orthokeratology lens use on myopia control efficacy in children

Choi,

Wong,

Chan

et al. 2024

Br J Ophthalmol

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AimsThe relationship between retinal electrophysiological function and myopia progression was evaluated in school-aged children wearing Breath-O-Correct Orthokeratology (OK) lenses compared with those wearing single vision (SV) lenses over 24 months.MethodsIn this randomised, single-blind, parallel controlled trial, children aged 8–12 years with −1.00 to −4.00 D of myopia were recruited. Retinal function was evaluated using global-flash multifocal electroretinography at baseline before OK or SV treatment. Axial length was evaluated at 6-month intervals up to 24 months. The main outcome measures were axial elongation (AE) between groups and the interactive effect of baseline retinal function.ResultsA total of 70 children (43 OK, 9.8±1.3 years; 27 SV, 9.5±1.4 years) completed the 2-year study and were included in the analysis. The 2-year normalised AE was 0.37±0.37 mm in the OK group and 0.60±0.41 mm in the SV group, respectively. For children in the SV group, the amplitude of the central inner retinal response was negatively correlated with axial length elongation (p=0.03). In contrast, this relationship between retinal electrophysiology and AE was not observed in OK group, indicating that they were independent of each other in children treated with OK (p=0.33).ConclusionA weak retinal electrophysiological response was a risk factor for rapid AE in SV controls. However, OK treatment can lower this risk factor and significantly reduce AE in school-aged children.

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Paediatric norms for photopic electroretinogram testing based on a large cohort of Chinese preschool children

Cited by 2 publications

References 36 publications

Generating Synthetic Light‐Adapted Electroretinogram Waveforms Using Artificial Intelligence to Improve Classification of Retinal Conditions in Under‐Represented Populations

Generating Synthetic Light‐Adapted Electroretinogram Waveforms Using Artificial Intelligence to Improve Classification of Retinal Conditions in Under‐Represented Populations

Interaction of retinal electrophysiology and novel orthokeratology lens use on myopia control efficacy in children

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