Submitted:
13 April 2025
Posted:
14 April 2025
You are already at the latest version
Abstract
Keywords:
Introduction
Case Series

Case 2

Case 3

Discussion

Conclusion
References
- Mwanza, J.C.; Warren, J.L.; Budenz, D.L. Utility of combining spectral domain optical coherence tomography structural parameters for the diagnosis of early glaucoma: a mini-review. Eye Vis (Lond) 2018, 5, 9. [Google Scholar] [CrossRef] [PubMed]
- Bussel, I.I.; Wollstein, G.; Schuman, J.S. OCT for glaucoma diagnosis, screening and detection of glaucoma progression. Br J Ophthalmol 2014, 98 Suppl 2, ii15–19. [Google Scholar] [CrossRef] [PubMed]
- Addis, V.; Chan, L.; Chen, J.; et al. Evaluation of the Cirrus high-definition OCT normative database probability codes in a black American population. Ophthalmol Glaucoma 2022, 5, 110–118. [Google Scholar] [CrossRef] [PubMed]
- Hood, D.C.; La Bruna, S.; Tsamis, E.; et al. Detecting glaucoma with only OCT: Implications for the clinic, research, screening, and AI development. Prog Retin Eye Res 2022, 90, 101052. [Google Scholar] [CrossRef] [PubMed]
- Hood, D.C. Improving our understanding, and detection, of glaucomatous damage: An approach based upon optical coherence tomography. Prog Retin Eye Res 2017, 57, 46–75. [Google Scholar] [CrossRef] [PubMed]
- Retinal nerve fiber layer analysis in glaucoma. In: Budenz, DL, ed. Atlas of Optical Coherence Tomography for Glaucoma. Switzerland: Elsevier; 2020; pp.31–35.
- Mwanza, J.C.; Oakley, J.D.; Budenz, D.L.; Anderson, D.R. Cirrus Optical Coherence Tomography Normative Database Study Group. Ability of cirrus HD-OCT optic nerve head parameters to discriminate normal from glaucomatous eyes. Ophthalmology 2011, 118, 241–248.e1. [Google Scholar] [CrossRef] [PubMed]
- Hwang, Y.H.; Kim, Y.Y. Glaucoma diagnostic ability of quadrant and clock-hour neuroretinal rim assessment using cirrus HD optical coherence tomography. Invest Ophthalmol Vis Sci 2012, 53, 2226–2234. [Google Scholar] [CrossRef] [PubMed]
- Chong, G.T.; Lee, R.K. Glaucoma versus red disease: imaging and glaucoma diagnosis. Curr Opin Ophthalmol 2012, 23, 79–88. [Google Scholar] [CrossRef] [PubMed]
- Susanna RJr Vessani, R.M. New findings in the evaluation of the optic disc in glaucoma diagnosis. Curr Opin Ophthalmol 2007, 18, 122–128. [Google Scholar] [CrossRef] [PubMed]
- Knight, O.J.; Girkin, C.A.; Budenz, D.L.; et al. Cirrus OCT normative database study group. Effect of race, age, and axial length on optic nerve head parameters and retinal nerve fiber layer thickness measured by Cirrus HD-OCT. Arch Ophthalmol 2012, 130, 312–318. [Google Scholar] [CrossRef] [PubMed]
- Girkin, C.A.; McGwin GJr McNeal, S.F.; DeLeon-Ortega, J. Racial differences in the association between optic disc topography and early glaucoma. Invest Ophthalmol Vis Sci 2003, 44, 3382–3387. [Google Scholar] [CrossRef] [PubMed]
- Nakayama, L.F.; Zago Ribeiro, L.; de Oliveira, J.A.E.; et al. Fairness and generalizability of OCT normative databases: a comparative analysis. Int J Retina Vitreous 2023, 9, 48. [Google Scholar] [CrossRef] [PubMed]
- KhalafAllah, M.T.; Zangwill, L.M.; Proudfoot, J.; et al. Racial differences in diagnostic accuracy of retinal nerve fiber layer thickness in primary open-angle glaucoma. Am J Ophthalmol 2024, 259, 7–14. [Google Scholar] [CrossRef] [PubMed]
- Moghimi, S.; Zangwill, L.M.; Hou, H.; et al. Comparison of peripapillary capillary density in glaucoma patients of African and European descent. Ophthalmol Glaucoma 2021, 4, 51–62. [Google Scholar] [CrossRef] [PubMed]
- Girkin, C.A. Differences in optic nerve structure between individuals of predominantly African and European ancestry: Implications for disease detection and pathogenesis. Clin Ophthalmol 2008, 2, 65–69. [Google Scholar] [CrossRef] [PubMed]
- Nousome, D.; Mckean-Cowdin, R.; Richter, G.M.; et al. Retinal nerve fiber layer thickness in healthy eyes of black, Chinese, and Latino Americans: A population-based multiethnic study. Ophthalmology 2021, 128, 1005–1015. [Google Scholar] [CrossRef] [PubMed]
- Hood, D.C.; Fortune, B.; Arthur, S.N.; et al. Blood vessel contributions to retinal nerve fiber layer thickness profiles measured with optical coherence tomography. J Glaucoma. 2008, 17, 519–528. [Google Scholar] [CrossRef] [PubMed]
- Wang, M.; Jin, Q.; Wang, H.; Li, D.; et al. The Interrelationship between refractive error, blood vessel anatomy, and glaucomatous visual field loss. Transl Vis Sci Technol 2018, 7, 4. [Google Scholar] [CrossRef] [PubMed]
- Leung, C.K.; Yu, M.; Weinreb, R.N.; et al. Retinal nerve fiber layer imaging with spectral-domain optical coherence tomography: a prospective analysis of age-related loss. Ophthalmology. 2012, 119, 731–737. [Google Scholar] [CrossRef] [PubMed]
- Realini, T.; Zangwill, L.M.; Flanagan, J.G.; et al. Normative databases for imaging instrumentation. J Glaucoma 2015, 24, 480–483. [Google Scholar] [CrossRef] [PubMed]
| Case 1 | Case 2 | Case 3 | |
| Refraction/BCVA | -1.25-0.75 x070 20/20 OD -1.25-1.25x070 20/20 OS |
-1.50 SPH 20/20 OD -1.75 SPH 20/20 OS |
-1.25 SPH 20/20 OD -1.50 SPH 20/20 OS |
| Anterior Segment Findings | No endothelial pigmentation on cornea OU No iris transillumination defects OU |
||
| Gonioscopy | Open to CBB 360 with 2+ pigmentation of PTM OU | ||
| Lens Status | 1+ NS OU | 1+ NS OU | 1+ NS OD; PCIOL OS |
| Maximum Untreated Goldmann Pressure | 21 mmHg OD; 21 mmHg OS | 19 mmHg OD; 18 mmHg OS | 22 mmHg OD; 21 mmHg OS |
| Central Corneal Thickness | 536 um OD; 532 um OS | 527 um OD; 522 um OS | 541 um OD; 543 um OS |
| Cup to Disc Ratio (Clinically) | 0.6 round OU | 0.65 round OD 0.7V/0.6H OS |
0.65 round OD 0.50 round OS |
| Wedge like Thinning on RNFL Deviation Maps | ST & IT OU | ST OU | IT greater than ST OU |
| High Risk RNFL Clock Hour Sectors Flagged | 11 & 7 OD; 1 & 5 OS | 1 OD; 11 OS | 7 OD and 1 & 5 OS |
| GCA (Cirrus) | Healthy & robust; no thinning relative to normative database OU | ||
| 24-2 Visual Field | No glaucomatous defects OU | ||
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).