Parameters of optic disc and macular in primary open-angle glaucoma measured by spectral domain optical coherence tomography and its influencing factors / 第二军医大学学报
Academic Journal of Second Military Medical University
;
(12): 43-48, 2020.
Article
Dans Chinois
| WPRIM
| ID: wpr-837822
ABSTRACT
Objective:
To measure the parameters of optic disc and macula by spectral domain-optical coherence tomography (SD-OCT) in healthy controls and patients with mild or moderate primary open-angle glaucoma (POAG), and to analyze the related influencing factors.Methods:
Forty patients (40 eyes) with mild or moderate POAG who were admitted to our department from Sep. 2015 to Aug. 2018 were enrolled, including 20 patients aged 20-39 years old and 20 patients aged 60-79 years old. Contemporaneous 40 healthy controls (40 eyes) were also included (20 aged 20-39 years old and 20 aged 60-79 years old). All subjects received comprehensive ophthalmic examination. SD-OCT was used to measure the thickness of peripapillary retinal nerve fiber layer (pRNFL), the thickness of macular average ganglion cell layer combined with the inner plexiform layer (GCL-IPL), the macular minimum GCL-IPL thickness, and the average thickness of the macular cube.Results:
The average and minimum GCL-IPL thickness decreased significantly with age in both healthy control and POAG groups (P0.05). The mean, superior, inferior and temporal thicknesses of pRNFL in the POAG group (both 20-39 years old and 60-79 years old subgroups) were significantly thinner than those in the healthy control group (P0.05). And no significant difference was found in the nasal thickness of pRNFL between POAG group and healthy control group of the same age (P>0.05).Conclusion:
The pRNFL thickness measured by SD-OCT is related to POAG, and it can be used as a detection index for early diagnosis of POAG.
Texte intégral:
Disponible
Indice:
WPRIM (Pacifique occidental)
Type d'étude:
Étude de dépistage
langue:
Chinois
Texte intégral:
Academic Journal of Second Military Medical University
Année:
2020
Type:
Article
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