The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
RETINAL VASCULAR PERFUSION DENSITY MAPPING USING OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY IN NORMALS AND DIABETIC RETINOPATHY PATIENTS
Abstract
In Brief Purpose: To describe a new method of retinal vascular perfusion density mapping using optical coherence tomography angiography and to compare current staging of diabetic retinopathy based on clinical features with a new grading scale based on perifoveal perfusion densities. Methods: A retrospective review was performed on subjects with diabetic retinopathy and age-matched controls imaged with a spectral domain optical coherence tomography system (Optovue XR Avanti, Fremont, CA). Split-spectrum amplitude-decorrelation angiography (SSADA) generated optical coherence tomography angiograms of the superficial retinal capillaries, deep retinal capillaries, and choriocapillaris. Skeletonized optical coherence tomography angiograms were used to create color-coded perfusion maps and capillary perfusion density values for each image. Capillary perfusion density values were compared with clinical staging, and groups were compared using analysis of variance and Kruskal–Wallis analyses. Results: Twenty-one control and 56 diabetic retinopathy eyes were imaged. Diabetic eyes were grouped according to clinical stage. Capillary perfusion density values from each microvascular layer were compared across all groups. Capillary perfusion density values were significantly lower in nearly all layers of all study groups compared with controls. Trend analysis showed a significant decrease in capillary perfusion density values as retinopathy progresses for most layers. Conclusion: Quantitative retinal vascular perfusion density mapping agreed closely with grading based on clinical features and may offer an objective method for monitoring disease progression in diabetic retinopathy. This study describes a novel quantitative mapping technique for analyzing and displaying retinal perfusion density using optical coherence tomography angiography. Age-matched controls were compared with subjects with diabetic retinopathy, and the results demonstrate its promise as an objective means of scaling progression of diabetic retinopathy in the macula.
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Wilkinson, C. P., Ferris, F. L., Klein, R. E., Lee, P. P., Agardh, C. D., Davis, M., Dills, D., Kampik, A., Pararajasegaram, R., & Verdaguer, J. T. (2003) · Ophthalmology · doi:10.1016/s0161-6420(03)00475-5 · Cited by 3,743
Split-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
Spaide, R. F., Klancnik, J. M., & Cooney, M. J. (2015) · JAMA Ophthalmology · doi:10.1001/jamaophthalmol.2014.3616 · Cited by 1,620
Klein, R. (1984) · Archives of Ophthalmology · doi:10.1001/archopht.1984.01040030405011 · Cited by 1,477
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
Jia, Y., Bailey, S. T., Wilson, D. J., Tan, O., Klein, M. L., Flaxel, C. J., Potsaid, B., Liu, J. J., Lu, C. D., Kraus, M. F., et al. (2014) · Ophthalmology · doi:10.1016/j.ophtha.2014.01.034 · Cited by 729
Optical Coherence Tomography Angiography in Diabetic Retinopathy: A Prospective Pilot Study
Ishibazawa, A., Nagaoka, T., Takahashi, A., Omae, T., Tani, T., Sogawa, K., Yokota, H., & Yoshida, A. (2015) · American Journal of Ophthalmology · doi:10.1016/j.ajo.2015.04.021 · Cited by 617
Fluorescein Angiography Complication Survey
Yannuzzi, L. A., Rohrer, K. T., Tindel, L. J., Sobel, R. S., Costanza, M. A., Shields, W., & Zang, E. (1986) · Ophthalmology · doi:10.1016/s0161-6420(86)33697-2 · Cited by 606
Classification of diabetic retinopathy and diabetic macular edema
Wu, L. (2013) · World Journal of Diabetes · doi:10.4239/wjd.v4.i6.290 · Cited by 439
How Effective Are Treatments for Diabetic Retinopathy?
Ferris, F. L. (1993) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1993.03500100088034 · Cited by 392
Cited by
Diabetic retinopathy: current understanding, mechanisms, and treatment strategies
Duh, E. J., Sun, J. K., & Stitt, A. W. (2017) · JCI Insight · doi:10.1172/jci.insight.93751 · Cited by 1,057
Role of Inflammation in Diabetic Retinopathy
Rübsam, A., Parikh, S., & Fort, P. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19040942 · Cited by 750
Kim, A. Y., Chu, Z., Shahidzadeh, A., Wang, R. K., Puliafito, C. A., & Kashani, A. H. (2016) · Investigative Opthalmology & Visual Science · doi:10.1167/iovs.15-18904 · Cited by 502
Balaratnasingam, C., Inoue, M., Ahn, S., McCann, J., Dhrami-Gavazi, E., Yannuzzi, L. A., & Freund, K. B. (2016) · Ophthalmology · doi:10.1016/j.ophtha.2016.07.008 · Cited by 367
Dimitrova, G., Chihara, E., Takahashi, H., Amano, H., & Okazaki, K. (2017) · Investigative Opthalmology & Visual Science · doi:10.1167/iovs.16-20531 · Cited by 309
Metadata
- Authors
- Agemy, S. A., Scripsema, N. K., Shah, C. M., Chui, T., Garcia, P. M., Lee, J. G., Gentile, R. C., Hsiao, Y.-S., Zhou, Q., Ko, T., & Rosen, R. B.
- Venue
- Retina
- Published
- 2015-11
- Volume
- 35
- Issue
- 11
- Pages
- 2353-2363
- ISSN
- 0275-004X (ISSN-L)
- OpenAlex
- W2333158451
- Cited by
- 472
- References
- 18
- FWCI
- 49.21
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: RETINAL VASCULAR PERFUSION DENSITY MAPPING USING OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY IN NORMALS AND DIABETIC RETINOPATHY PATIENTS. https://app.cochat.ai/papers/10.1097/iae.0000000000000862
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- Agemy, S. A., Scripsema, N. K., Shah, C. M., Chui, T., Garcia, P. M., Lee, J. G., Gentile, R. C., Hsiao, Y.-S., Zhou, Q., Ko, T., & Rosen, R. B. (2015). RETINAL VASCULAR PERFUSION DENSITY MAPPING USING OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY IN NORMALS AND DIABETIC RETINOPATHY PATIENTS. Retina. https://doi.org/10.1097/iae.0000000000000862
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