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Ass. Lect. Ayman Mohammed Ali Elmaghrabi :: Publications:

Title:
Correlation Between Peripapillary Retinal Nerve Fiber Layer Thickness And Optic Disc Parameters In Glaucoma Patients Using Optical Coherence Tomography
Authors: Ayman Elmaghrabi*, Mohammed T. Hegazy*, Ahmed E. Daifalla*, Mohamed A. Elsayed
Year: 2020
Keywords: Not Available
Journal: Not Available
Volume: Not Available
Issue: Not Available
Pages: Not Available
Publisher: Not Available
Local/International: Local
Paper Link: Not Available
Full paper Ayman Mohammed Ali Elmaghrabi _my paper for puplication.pdf
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Abstract:

Aim of study: To investigate the correlation between optic disc parameters (disc area and vertical cup disc ratio) and peripapillary retinal nerve fiber layer thickness and its value in evaluating glaucoma cases using optical coherence tomography. Methods: this study included 35 eyes of 20 patients, 9 males and 11 females. 17 eyes as glaucoma cases and 18 control eyes (age: 51.8±10.85years old) were recruited at ophthalmology department at Benha university hospital. Complete ophthalmic assessment, visual field and OCT optic nerve imaging were done at the investigation unit of the department. Results: Disc area (DA) values (M±SD) were 2.31± 0.34 and 2.69±0.51 for cases and control respectively (P value: 0.016). VCDR values (M±SD) were 0.67±0.16 and 0.62 ±0.14 for cases and control respectively (p value: 0.28). DA show only significant correlation to nasal PPRNFL thickness while VCDR show only significant negative correlation to average PPRNFL thickness. There is significant positive correlation between VCDR and DA. ROC curve analysis testing validity of DA and VCDR to predict glaucoma show high sensitivity (82.4%) and low specificity (61.1%) for DA (p value 0.009) and low sensitivity (58.8%) and low specificity (44.4%) for VCDR (p value 0.85). Conclusion: VCDR may be an insensitive method for evaluating or monitoring glaucomatous functional damage in POAG or classifying its severity. Disc area significantly affects VCDR and may have a role in predicting POAG cases.

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