The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Optical Coherence Tomography Angiography Vessel Density in Healthy, Glaucoma Suspect, and Glaucoma Eyes
Open accessAbstract
PURPOSE: The purpose of this study was to compare retinal nerve fiber layer (RNFL) thickness and optical coherence tomography angiography (OCT-A) retinal vasculature measurements in healthy, glaucoma suspect, and glaucoma patients. METHODS: Two hundred sixty-one eyes of 164 healthy, glaucoma suspect, and open-angle glaucoma (OAG) participants from the Diagnostic Innovations in Glaucoma Study with good quality OCT-A images were included. Retinal vasculature information was summarized as a vessel density map and as vessel density (%), which is the proportion of flowing vessel area over the total area evaluated. Two vessel density measurements extracted from the RNFL were analyzed: (1) circumpapillary vessel density (cpVD) measured in a 750-μm-wide elliptical annulus around the disc and (2) whole image vessel density (wiVD) measured over the entire image. Areas under the receiver operating characteristic curves (AUROC) were used to evaluate diagnostic accuracy. RESULTS: Age-adjusted mean vessel density was significantly lower in OAG eyes compared with glaucoma suspects and healthy eyes. (cpVD: 55.1 ± 7%, 60.3 ± 5%, and 64.2 ± 3%, respectively; P < 0.001; and wiVD: 46.2 ± 6%, 51.3 ± 5%, and 56.6 ± 3%, respectively; P < 0.001). For differentiating between glaucoma and healthy eyes, the age-adjusted AUROC was highest for wiVD (0.94), followed by RNFL thickness (0.92) and cpVD (0.83). The AUROCs for differentiating between healthy and glaucoma suspect eyes were highest for wiVD (0.70), followed by cpVD (0.65) and RNFL thickness (0.65). CONCLUSIONS: Optical coherence tomography angiography vessel density had similar diagnostic accuracy to RNFL thickness measurements for differentiating between healthy and glaucoma eyes. These results suggest that OCT-A measurements reflect damage to tissues relevant to the pathophysiology of OAG.
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Citations
Cites
The Pathophysiology and Treatment of Glaucoma: A Review
Weinreb, R. N., Aung, T., & Medeiros, F. A. (2014) · JAMA · doi:10.1001/jama.2014.3192 · Cited by 4,210
Self-citationSplit-spectrum amplitude-decorrelation angiography with optical coherence tomography
Jia, Y., Tan, O., Tokayer, J., Potsaid, B., Wang, Y., Liu, J. J., Kraus, M. F., Subhash, H., Fujimoto, J. G., Hornegger, J., et al. (2012) · Optics Express · doi:10.1364/oe.20.004710 · Cited by 1,841
Self-citationSpaide, R. F., Klancnik, J. M., & Cooney, M. J. (2015) · JAMA Ophthalmology · doi:10.1001/jamaophthalmol.2014.3616 · Cited by 1,620
Retinal Vascular Patterns: IV. Diabetic Retinopathy
COGAN, D. G. (1961) · Archives of Ophthalmology · doi:10.1001/archopht.1961.00960010368014 · Cited by 803
Optical Coherence Tomography Angiography of Optic Disc Perfusion in Glaucoma
Jia, Y., Wei, E., Wang, X., Zhang, X., Morrison, J. C., Parikh, M., Lombardi, L. H., Gattey, D. M., Armour, R. L., Edmunds, B., et al. (2014) · Ophthalmology · doi:10.1016/j.ophtha.2014.01.021 · Cited by 740
Self-citationVascular risk factors for primary open angle glaucoma The Egna-Neumarkt Study
Bonomi, L. (2000) · Ophthalmology · doi:10.1016/s0161-6420(00)00138-x · Cited by 728
Determinants of Normal Retinal Nerve Fiber Layer Thickness Measured by Stratus OCT
Budenz, D. L., Anderson, D. R., Varma, R., Schuman, J., Cantor, L., Savell, J., Greenfield, D. S., Patella, V. M., Quigley, H. A., & Tielsch, J. (2007) · Ophthalmology · doi:10.1016/j.ophtha.2006.08.046 · Cited by 684
Optical Coherence Tomography Angiography of the Peripapillary Retina in Glaucoma
Liu, L., Jia, Y., Takusagawa, H. L., Pechauer, A. D., Edmunds, B., Lombardi, L., Davis, E., Morrison, J. C., & Huang, D. (2015) · JAMA Ophthalmology · doi:10.1001/jamaophthalmol.2015.2225 · Cited by 657
Self-citationThe vascular concept of glaucoma
Flammer, J. (1994) · Survey of Ophthalmology · doi:10.1016/0039-6257(94)90041-8 · Cited by 439
Optic nerve blood-flow abnormalities in glaucoma
Flammer, J. (1998) · Progress in Retinal and Eye Research · doi:10.1016/s1350-9462(97)00006-2 · Cited by 365
Wang, X., Jiang, C., Ko, T., Kong, X., Yu, X., Min, W., Shi, G., & Sun, X. (2015) · Graefe's Archive for Clinical and Experimental Ophthalmology · doi:10.1007/s00417-015-3095-y · Cited by 350
The African Descent and Glaucoma Evaluation Study (ADAGES): Design and Baseline Data
Sample, P. A. (2009) · Archives of Ophthalmology · doi:10.1001/archophthalmol.2009.187 · Cited by 331
Estimation and Comparison of Receiver Operating Characteristic Curves
Pepe, M. S., Longton, G., & Janes, H. (2009) · The Stata Journal: Promoting communications on statistics and Stata · doi:10.1177/1536867x0900900101 · Cited by 306
Parapapillary chorioretinal atrophy in normal and glaucoma eyes. I. Morphometric data.
Jonas, J. B., Nguyen, X. N., Gusek, G. C., & Naumann, G. O. H. (1989) · PubMed · Cited by 296
Yu, D.-Y., Cringle, S. J., Balaratnasingam, C., Morgan, W. H., Yu, P. K., & Su, E.-N. (2013) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2013.07.001 · Cited by 249
Radial peripapillary capillaries of the retina. I. Anatomy: human and comparative.
Henkind, P. (1967) · British Journal of Ophthalmology · doi:10.1136/bjo.51.2.115 · Cited by 205
Distribution-free ROC analysis using binary regression techniques
Alonzo, T. A. (2002) · Biostatistics · doi:10.1093/biostatistics/3.3.421 · Cited by 203
Wang, Y., Bower, B. A., Izatt, J. A., Tan, O., & Huang, D. (2008) · Journal of Biomedical Optics · doi:10.1117/1.2998480 · Cited by 182
Self-citationSelective Atrophy of the Radial Peripapillary Capillaries in Chronic Glaucoma
Kornzweig, A. L., Eliasoph, I., & Feldstein, M. (1968) · Archives of Ophthalmology · doi:10.1001/archopht.1968.00980050698002 · Cited by 114
Tobe, L., Harris, A., Hussain, R. M., et al. (2014) · British Journal of Ophthalmology · doi:10.1136/bjophthalmol-2014-305780 · Cited by 101
Nakazawa, T., Yokoyama, Aizawa, N., et al. (2011) · Clinical ophthalmology · doi:10.2147/opth.s23204 · Cited by 79
Cited by
Normal‐tension glaucoma: Current concepts and approaches‐A review
Leung, D. Y. L., & Tham, C. C. (2022) · Clinical & Experimental Ophthalmology · doi:10.1111/ceo.14043 · Cited by 99
Metadata
- Authors
- Yarmohammadi, A., Zangwill, L. M., Diniz-Filho, A., Suh, M. H., Manalastas, P. I., Fatehee, N., Yousefi, S., Belghith, A., Saunders, L. J., Medeiros, F. A., Huang, D., & Weinreb, R. N.
- Venue
- Investigative Opthalmology & Visual Science
- Published
- 2016-07-13
- Volume
- 57
- Issue
- 9
- Pages
- OCT451
- ISSN
- 0146-0404 (ISSN-L)
- 1552-5783
- OpenAlex
- W2473577401
- Cited by
- 494
- References
- 21
- FWCI
- 57.52
- Type
- journal article
- Language
- en
- Open access
- gold
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