Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT06434155 |
Other study ID # |
17200545 |
Secondary ID |
|
Status |
Completed |
Phase |
|
First received |
|
Last updated |
|
Start date |
January 1, 2022 |
Est. completion date |
July 1, 2022 |
Study information
Verified date |
May 2024 |
Source |
Assiut University |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational [Patient Registry]
|
Clinical Trial Summary
The objective of this study is to predict of glaucoma progression. By imaging of the retinal
nerve fiber layer RNFL, optic nerve head (ONH) and macular measurements using spectral-domain
OCT (SD-OCT) instruments
Description:
Glaucoma is a multifactorial optic neuropathy characterized by structural damage of retinal
ganglion cells (RGCs) and their axons that is associated with vision loss and may lead to
irreversible blindness. Because glaucomatous damage is irreversible and effective treatment
is available to halt further damage, glaucoma management should be optimized with precise
micrometer-scale quantifications of ocular structures that improve detection of the disease
and its progression. The introduction of OCT technology more than 20 years ago provided in
vivo detailed visualization of the optic nerve head (ONH) and retina and enabled the
quantitative evaluation of these tructures. Circumpapillary retinal nerve fiber layer (RNFL)
thickness is a common OCT measurement that provides comprehensive evaluation of all RGCs in
an eye as they converge into the ONH.
When measured with spectral-domain OCT, the RNFL has been shown to differentiate between
healthy and glaucomatous eyes. The steady evolution of OCT technology has led to imaging with
better resolution, higher scanning speeds, and advanced imaging patterns that has improved
the reliability of OCT measurements and allowed for detection of minute changes that can
improve the sensitivity of progression detection. Assessment of glaucoma progression usually
is based on event or trend analysis. Event-based progression determines when a measurement
exceeds a pre-established threshold for change from baseline. Trend-based analysis quantifies
the rate of a parameter's progression over time.