Efficacy of the Newly Invented Eyelid Clamper in Ultra-Widefield Fundus Imaging

Author:

Ozawa Nobuhiro,Mori Kiwako,Katada Yusaku,Tsubota KazuoORCID,Kurihara ToshihideORCID

Abstract

Background: Ultra-widefield fundus imaging is widely used for obtaining wide angle images of the retina in one single image. Although it has a potential to obtain a wide area of retinal photographs, images are often obstructed by eyelashes or eye lids. In this study, we used a newly invented eyelid clamper, which can keep an eye open without touching conjunctiva or lid margin, to assess the efficacy in clinical use by comparing with conventional tape fixation. Methods: Ultra-widefield fundus images were captured with an ultra-widefield imaging system in 19 patients who visited to the outpatient clinic of Department of Ophthalmology, Keio University Hospital with the eyelid clamper or a conventional tape fixation. The area of imaged retinas was outlined and quantified with pixels. After obtaining images, patients answered a questionnaire. Results: The average number of pixels in total areas with the eyelid clamper or with tape fixation were 4.31 ± 0.35 and 4.32 ± 0.34 mega pixels, respectively, showing no significant difference between the groups (p = 0.889). The average face pain scale of the eyelid clamper was 1.13 on a scale of 0 to 5. The number of patients who did not feel any pain was nine (47.4%). Conclusions: The eyelid clamper can be applied in clinical setting and can better support obtaining sufficiently wide fundus images compared to a conventional tape fixation.

Publisher

MDPI AG

Subject

Paleontology,Space and Planetary Science,General Biochemistry, Genetics and Molecular Biology,Ecology, Evolution, Behavior and Systematics

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Joint conditional generative adversarial networks for eyelash artifact removal in ultra-wide-field fundus images;Frontiers in Cell and Developmental Biology;2023-05-05

2. DeLashNet: A Deep Network for Eyelash Artifact Removal in Ultra-Wide-Field Fundus Images;2022 The 5th International Conference on Control and Computer Vision;2022-08-19

3. Retinal Disease and Metabolism;Life;2022-01-27

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