Development of a deep learning system to detect glaucoma using macular vertical optical coherence tomography scans of myopic eyes
Abstract Myopia is one of the risk factors for glaucoma, making accurate diagnosis of glaucoma in myopic eyes particularly important. However, diagnosis of glaucoma in myopic eyes is challenging due to the frequent associations of distorted optic disc and distorted parapapillary and macular structur...
| Main Authors: | , , , , , , |
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| Format: | Article |
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Nature Portfolio
2023-05-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-34794-5 |
| _version_ | 1797822869949906944 |
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| author | Ji-Ah Kim Hanbit Yoon Dayun Lee MoonHyun Kim JoonHee Choi Eun Ji Lee Tae-Woo Kim |
| author_facet | Ji-Ah Kim Hanbit Yoon Dayun Lee MoonHyun Kim JoonHee Choi Eun Ji Lee Tae-Woo Kim |
| author_sort | Ji-Ah Kim |
| collection | DOAJ |
| description | Abstract Myopia is one of the risk factors for glaucoma, making accurate diagnosis of glaucoma in myopic eyes particularly important. However, diagnosis of glaucoma in myopic eyes is challenging due to the frequent associations of distorted optic disc and distorted parapapillary and macular structures. Macular vertical scan has been suggested as a useful tool to detect glaucomatous retinal nerve fiber layer loss even in highly myopic eyes. The present study was performed to develop and validate a deep learning (DL) system to detect glaucoma in myopic eyes using macular vertical optical coherence tomography (OCT) scans and compare its diagnostic power with that of circumpapillary OCT scans. The study included a training set of 1416 eyes, a validation set of 471 eyes, a test set of 471 eyes, and an external test set of 249 eyes. The ability to diagnose glaucoma in eyes with large myopic parapapillary atrophy was greater with the vertical than the circumpapillary OCT scans, with areas under the receiver operating characteristic curves of 0.976 and 0.914, respectively. These findings suggest that DL artificial intelligence based on macular vertical scans may be a promising tool for diagnosis of glaucoma in myopic eyes. |
| first_indexed | 2024-03-13T10:15:42Z |
| format | Article |
| id | doaj.art-5532811954754fb094c94fa4ca033bec |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-13T10:15:42Z |
| publishDate | 2023-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-5532811954754fb094c94fa4ca033bec2023-05-21T11:15:58ZengNature PortfolioScientific Reports2045-23222023-05-0113111010.1038/s41598-023-34794-5Development of a deep learning system to detect glaucoma using macular vertical optical coherence tomography scans of myopic eyesJi-Ah Kim0Hanbit Yoon1Dayun Lee2MoonHyun Kim3JoonHee Choi4Eun Ji Lee5Tae-Woo Kim6Department of Ophthalmology, Ewha Womans University College of Medicine, Ewha Womans University Seoul HospitalDepartment of Machine Learning and Computer Vision, Sungkyunkwan UniversityDepartment of Computing, Sungkyunkwan University College of Computing and Informatics, Sungkyunkwan UniversityDepartment of Computing, Sungkyunkwan University College of Computing and Informatics, Sungkyunkwan UniversitySamsung Semiconductor Inc.Department of Ophthalmology, Seoul National University College of Medicine, Seoul National University Bundang HospitalDepartment of Ophthalmology, Seoul National University College of Medicine, Seoul National University Bundang HospitalAbstract Myopia is one of the risk factors for glaucoma, making accurate diagnosis of glaucoma in myopic eyes particularly important. However, diagnosis of glaucoma in myopic eyes is challenging due to the frequent associations of distorted optic disc and distorted parapapillary and macular structures. Macular vertical scan has been suggested as a useful tool to detect glaucomatous retinal nerve fiber layer loss even in highly myopic eyes. The present study was performed to develop and validate a deep learning (DL) system to detect glaucoma in myopic eyes using macular vertical optical coherence tomography (OCT) scans and compare its diagnostic power with that of circumpapillary OCT scans. The study included a training set of 1416 eyes, a validation set of 471 eyes, a test set of 471 eyes, and an external test set of 249 eyes. The ability to diagnose glaucoma in eyes with large myopic parapapillary atrophy was greater with the vertical than the circumpapillary OCT scans, with areas under the receiver operating characteristic curves of 0.976 and 0.914, respectively. These findings suggest that DL artificial intelligence based on macular vertical scans may be a promising tool for diagnosis of glaucoma in myopic eyes.https://doi.org/10.1038/s41598-023-34794-5 |
| spellingShingle | Ji-Ah Kim Hanbit Yoon Dayun Lee MoonHyun Kim JoonHee Choi Eun Ji Lee Tae-Woo Kim Development of a deep learning system to detect glaucoma using macular vertical optical coherence tomography scans of myopic eyes Scientific Reports |
| title | Development of a deep learning system to detect glaucoma using macular vertical optical coherence tomography scans of myopic eyes |
| title_full | Development of a deep learning system to detect glaucoma using macular vertical optical coherence tomography scans of myopic eyes |
| title_fullStr | Development of a deep learning system to detect glaucoma using macular vertical optical coherence tomography scans of myopic eyes |
| title_full_unstemmed | Development of a deep learning system to detect glaucoma using macular vertical optical coherence tomography scans of myopic eyes |
| title_short | Development of a deep learning system to detect glaucoma using macular vertical optical coherence tomography scans of myopic eyes |
| title_sort | development of a deep learning system to detect glaucoma using macular vertical optical coherence tomography scans of myopic eyes |
| url | https://doi.org/10.1038/s41598-023-34794-5 |
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