Segmentation Errors of Minimum Rim Width and Retinal Nerve
Fiber Layer in Glaucoma Subject
Mohammad Saeed Abdelkader Eltelwany1*, Mohsen Emad Elden Salem2, Karim Adly Raafat3 and Passant Sayed Saif4
1Master Degree in Ophthalmology, Department of Ophthalmology, Faculty of Medicine, Misr University for Science and Technology, Egypt
2Professor and Head of Department of Ophthalmology, Faculty of Medicine, Misr University for Science and Technology, Egypt
3Professor of Ophthalmology, Faculty of Medicine, Cairo University, Egypt
4Professor of Ophthalmology, Faculty of Medicine, Misr University for Science and Technology, Egypt
*Corresponding Author: Mohammad Saeed Abdelkader Eltelwany, Master Degree
in Ophthalmology, Department of Ophthalmology, Faculty of Medicine, Misr
University for Science and Technology, Egypt.
Received:
September 08, 2026s; Published: September 28, 202
Abstract
To evaluate the impact of manual correction of automated OCT segmentation errors on retinal nerve fiber layer (RNFL) thickness,
Bruch’s membrane opening-minimum rim width (MRW) measurements, as well as its effect on glaucoma classification.
Keywords: Glaucoma; OCT Segmentation; Retinal Nerve Fiber Layer (RNFL); Minimum Rim Width (MRW)
References
- Weinreb RN., et al. “The pathophysiology and treatment of glaucoma: a review”. Journal of the American Medical Association 18 (2014): 1901-1911.
- Yousef YA., et al. (Verify exact paper details from your source).
- Huang D., et al. “Optical coherence tomography”. Science5035 (1991): 1178-1181.
- Schuman JS., et al. “Quantification of nerve fiber layer thickness in normal and glaucomatous eyes using optical coherence tomography”. Archives of Ophthalmology 5 (1995): 586-596.
- Salmon JF. “Kanski’s Clinical Ophthalmology: A Systematic Approach. 9th edition”. Elsevier (2020).
- Aojula A., et al. (Verify exact article title and journal appears to be 2017/2018 OCT segmentation error studies).
- Mwanza JC., et al. “Ability of Cirrus HD-OCT optic nerve head parameters to discriminate normal from glaucomatous eyes”. Ophthalmology2 (2011): 241-248.e1.
- Leung CK., et al. “Retinal nerve fiber layer imaging with spectral-domain optical coherence tomography: patterns of retinal nerve fiber layer progression”. Ophthalmology9 (2012): 1858-1866.
- Yang X., et al. (2024 paper on segmentation error effects on glaucoma classification—verify full citation).
- Mansberger SL., et al. “Automated segmentation errors when using optical coherence tomography to measure retinal nerve fiber layer thickness in glaucoma”. American Journal of Ophthalmology 174 (2017): 1-8.
- Asrani S., et al. “Artifacts in spectral-domain optical coherence tomography measurements in glaucoma”. JAMA Ophthalmology4 (2014): 396-402.
- Chen TC. “Spectral domain optical coherence tomography in glaucoma: qualitative and quantitative analysis of the optic nerve head and retinal nerve fiber layer”. Taiwan Journal of Ophthalmology (2014).
- Medeiros FA., et al. “Comparison of retinal nerve fiber layer and optic disc imaging for diagnosing glaucoma in patients suspected of having the disease”. Ophthalmology 8 (2008): 1340-1346.
- Wollstein G., et al. “Optical coherence tomography longitudinal evaluation of retinal nerve fiber layer thickness in glaucoma”. Archives of Ophthalmology 4 (2005): 464-470.
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