Modern trends in diagnostics and prediction of results of anti-vascular endothelial growth factor therapy of pigment epithelial detachment in neovascular agerelated macular degeneration using deep machine learning method (literature review)
Detachment of the pigment epithelium is the separation of the basement membrane of the retinal pigment epithelium from the inner collagen layer of Bruch’s membrane, which occurs in 80 % of cases in patients with neovascular age-related macular degeneration. The outcome of anti-VEGF therapy for pigme...
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Scientific Сentre for Family Health and Human Reproduction Problems
2021-12-01
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| Series: | Acta Biomedica Scientifica |
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| Online Access: | https://www.actabiomedica.ru/jour/article/view/3126 |
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| author | E. V. Kozina S. N. Sakhnov V. V. Myasnikova E. V. Bykova L. E. Aksenova |
| author_facet | E. V. Kozina S. N. Sakhnov V. V. Myasnikova E. V. Bykova L. E. Aksenova |
| author_sort | E. V. Kozina |
| collection | DOAJ |
| description | Detachment of the pigment epithelium is the separation of the basement membrane of the retinal pigment epithelium from the inner collagen layer of Bruch’s membrane, which occurs in 80 % of cases in patients with neovascular age-related macular degeneration. The outcome of anti-VEGF therapy for pigment epithelial detachment may be adherence of the pigment epithelium, the formation of pigment epithelium tear, or preservation of the detachment. The pigment epithelium tear of 3–4th degrees can lead to a sharp decrease in visual acuity.Most retrospective studies confi rm the absence of a proven correlation between anatomical and functional outcomes in the treatment of pigment epithelial detachment in cases of maintaining the integrity of the pigment epithelium monolayer, and therefore the main attention of researchers is focused on studying the morphological features of pigment epithelial detachment during therapy with angiogenesis inhibitors. Modern technologies of spectral optical coherence tomography make it possible to evaluate detailed quantitative parameters of pigment epithelium detachment, such as height, width, maximum linear diameter, area, volume and refl ectivity within the detachment.Groups of Russian and foreign authors identify various biomarkers recorded on optical coherence tomography images. Dynamic registration of such biomarkers expands the ability of clinicians to predict morphological changes in pigment epithelial detachment during anti-VEGF therapy, as well as to optimize treatment regimens to prevent complications in the form of pigment epithelium tear leading to a decrease in visual acuity.Modern methods of deep machine learning and the use of neural networks allow achieving higher accuracy in diff erentiating the types of retinal fluids and automating the quantitative determination of fl uid under the pigment epithelium. These technologies allow achieving a high level of compliance with manual expert assessment and increasing the accuracy and speed of predicting morphological results of treatment of pigment epithelium detachments. |
| format | Article |
| id | doaj-art-05723897ff804e248518582a99b5743f |
| institution | Kabale University |
| issn | 2541-9420 2587-9596 |
| language | Russian |
| publishDate | 2021-12-01 |
| publisher | Scientific Сentre for Family Health and Human Reproduction Problems |
| record_format | Article |
| series | Acta Biomedica Scientifica |
| spelling | doaj-art-05723897ff804e248518582a99b5743f2025-08-20T03:56:53ZrusScientific Сentre for Family Health and Human Reproduction ProblemsActa Biomedica Scientifica2541-94202587-95962021-12-0166-119020310.29413/ABS.2021-6.6-1.222256Modern trends in diagnostics and prediction of results of anti-vascular endothelial growth factor therapy of pigment epithelial detachment in neovascular agerelated macular degeneration using deep machine learning method (literature review)E. V. Kozina0S. N. Sakhnov1V. V. Myasnikova2E. V. Bykova3L. E. Aksenova4Krasnodar Branch of the S. Fyodorov Eye Microsurgery Federal State Institution Krasnodar Branch of the S. Fyodorov Eye Microsurgery Federal State Institution; Kuban State Medical University Krasnodar Branch of the S. Fyodorov Eye Microsurgery Federal State Institution; Kuban State Medical University Krasnodar Branch of the S. Fyodorov Eye Microsurgery Federal State InstitutionKrasnodar Branch of the S. Fyodorov Eye Microsurgery Federal State Institution Detachment of the pigment epithelium is the separation of the basement membrane of the retinal pigment epithelium from the inner collagen layer of Bruch’s membrane, which occurs in 80 % of cases in patients with neovascular age-related macular degeneration. The outcome of anti-VEGF therapy for pigment epithelial detachment may be adherence of the pigment epithelium, the formation of pigment epithelium tear, or preservation of the detachment. The pigment epithelium tear of 3–4th degrees can lead to a sharp decrease in visual acuity.Most retrospective studies confi rm the absence of a proven correlation between anatomical and functional outcomes in the treatment of pigment epithelial detachment in cases of maintaining the integrity of the pigment epithelium monolayer, and therefore the main attention of researchers is focused on studying the morphological features of pigment epithelial detachment during therapy with angiogenesis inhibitors. Modern technologies of spectral optical coherence tomography make it possible to evaluate detailed quantitative parameters of pigment epithelium detachment, such as height, width, maximum linear diameter, area, volume and refl ectivity within the detachment.Groups of Russian and foreign authors identify various biomarkers recorded on optical coherence tomography images. Dynamic registration of such biomarkers expands the ability of clinicians to predict morphological changes in pigment epithelial detachment during anti-VEGF therapy, as well as to optimize treatment regimens to prevent complications in the form of pigment epithelium tear leading to a decrease in visual acuity.Modern methods of deep machine learning and the use of neural networks allow achieving higher accuracy in diff erentiating the types of retinal fluids and automating the quantitative determination of fl uid under the pigment epithelium. These technologies allow achieving a high level of compliance with manual expert assessment and increasing the accuracy and speed of predicting morphological results of treatment of pigment epithelium detachments.https://www.actabiomedica.ru/jour/article/view/3126retinal pigment epithelium detachmentneovascular macular degenerationoptical coherence tomographyretinal pigment epithelium tearneural networkdeep machine learning |
| spellingShingle | E. V. Kozina S. N. Sakhnov V. V. Myasnikova E. V. Bykova L. E. Aksenova Modern trends in diagnostics and prediction of results of anti-vascular endothelial growth factor therapy of pigment epithelial detachment in neovascular agerelated macular degeneration using deep machine learning method (literature review) Acta Biomedica Scientifica retinal pigment epithelium detachment neovascular macular degeneration optical coherence tomography retinal pigment epithelium tear neural network deep machine learning |
| title | Modern trends in diagnostics and prediction of results of anti-vascular endothelial growth factor therapy of pigment epithelial detachment in neovascular agerelated macular degeneration using deep machine learning method (literature review) |
| title_full | Modern trends in diagnostics and prediction of results of anti-vascular endothelial growth factor therapy of pigment epithelial detachment in neovascular agerelated macular degeneration using deep machine learning method (literature review) |
| title_fullStr | Modern trends in diagnostics and prediction of results of anti-vascular endothelial growth factor therapy of pigment epithelial detachment in neovascular agerelated macular degeneration using deep machine learning method (literature review) |
| title_full_unstemmed | Modern trends in diagnostics and prediction of results of anti-vascular endothelial growth factor therapy of pigment epithelial detachment in neovascular agerelated macular degeneration using deep machine learning method (literature review) |
| title_short | Modern trends in diagnostics and prediction of results of anti-vascular endothelial growth factor therapy of pigment epithelial detachment in neovascular agerelated macular degeneration using deep machine learning method (literature review) |
| title_sort | modern trends in diagnostics and prediction of results of anti vascular endothelial growth factor therapy of pigment epithelial detachment in neovascular agerelated macular degeneration using deep machine learning method literature review |
| topic | retinal pigment epithelium detachment neovascular macular degeneration optical coherence tomography retinal pigment epithelium tear neural network deep machine learning |
| url | https://www.actabiomedica.ru/jour/article/view/3126 |
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