Autor: |
Dan-Ning Long, Ya Mo |
Jazyk: |
angličtina |
Rok vydání: |
2020 |
Předmět: |
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Zdroj: |
Guoji Yanke Zazhi, Vol 20, Iss 8, Pp 1355-1358 (2020) |
Druh dokumentu: |
article |
ISSN: |
1672-5123 |
DOI: |
10.3980/j.issn.1672-5123.2020.8.12 |
Popis: |
Glaucoma is a major cause of visual dysfunction worldwide. It is a group of diseases involving the optic nerve and related structures. It is characterized by visual field defects and optic disc depression, which ultimately lead to irreversible blindness. Many years of research have found that the pathogenesis of induced glaucoma is mainly mechanical compression theory and vascular theory(microcirculation). In view of the current clinical research and further development of diagnosis and treatment, the latter has become the focus and development direction of modern research. Patients with glaucoma will have a decrease in blood vessel density in the corresponding parts such as the optic papilla and optic disc. Examination techniques such as deep convolutional neural network and OCT-A can objectively explain the changes in the corresponding parameters of their microcirculation and can monitor the progress of glaucoma. Therefore, this article discusses from the aspects of glaucoma and microcirculation, aiming to expand the clinical understanding of glaucoma microcirculation, so as to further guide the clinical. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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