The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Automated Quantification of Capillary Nonperfusion Using Optical Coherence Tomography Angiography in Diabetic Retinopathy
Open accessAbstract
IMPORTANCE: Macular ischemia is a key feature of diabetic retinopathy (DR). Quantification of macular ischemia has potential as a biomarker for DR. OBJECTIVE: To assess the feasibility of automated quantification of capillary nonperfusion as a potential sign of macular ischemia using optical coherence tomography (OCT) angiography. DESIGN, SETTING, AND PARTICIPANTS: An observational study conducted in a tertiary, subspecialty, academic practice evaluated macular nonperfusion with 6 × 6-mm OCT angiography obtained with commercially available 70-kHz OCT and fluorescein angiography (FA). The study was conducted from January 22 to September 18, 2014. Data analysis was performed from October 1, 2014, to April 7, 2015. Participants included 12 individuals with normal vision serving as controls and 12 patients with various levels of DR. MAIN OUTCOMES AND MEASURES: Preplanned primary measures were parafoveal and perifoveal vessel density, total avascular area, and foveal avascular zone as detected with 6 × 6-mm OCT angiography and analyzed using an automated algorithm. Secondary measures included the agreement of the avascular area between the OCT angiogram and FA. RESULTS: Compared with the 12 healthy controls (11 women; mean [SD] age, 54.2 [14.2] years), the 12 participants with DR (4 women; mean [SD] age, 55.1 [12.1] years) had reduced parafoveal and perifoveal vessel density by 12.6% (95% CI, 7.7%-17.5%; P < .001) and 10.4% (95% CI, 6.8%-14.1%; P < .001), respectively. Total avascular area and foveal avascular zone area were greater in eyes with DR by 0.82 mm2 (95% CI, 0.65-0.99 mm2; P = .02) and 0.16 mm2 (95% CI, 0.05-0.28 mm2; P < .001). The agreement between the vascular areas in the OCT angiogram and FA had a κ value of 0.45 (95% CI, 0.21-0.70; P < .001). Total avascular area in the central 5.5-mm-diameter area distinguished eyes with DR from control eyes with 100% sensitivity and specificity. CONCLUSIONS AND RELEVANCE: Avascular area analysis with an automated algorithm using OCT angiography, although not equivalent to FA, detected DR reliably in this small pilot study. Further study is necessary to determine the usefulness of the automated quantification in clinical practice.
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Cook, R. J., Dickens, B. M., & Fathalla, M. F. (2003) · Reproductive Health and Human Rights · doi:10.1093/acprof:oso/9780199241323.003.0025 · Cited by 10,769
Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine
Zweig, M. H., & Campbell, G. (1993) · Clinical Chemistry · doi:10.1093/clinchem/39.4.561 · Cited by 6,569
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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
Self-citationOptical 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-citationJia, 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
Self-citationJia, Y., Bailey, S. T., Hwang, T. S., McClintic, S. M., Gao, S. S., Pennesi, M. E., Flaxel, C. J., Lauer, A. K., Wilson, D. J., Hornegger, J., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1500185112 · Cited by 665
Self-citationOptical 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
Cited by
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
Metadata
- Authors
- Hwang, T. S., Gao, S. S., Liu, L., Lauer, A. K., Bailey, S. T., Flaxel, C. J., Wilson, D. J., Huang, D., & Jia, Y.
- Venue
- JAMA Ophthalmology
- Publisher
- American Medical Association (AMA)
- Published
- 2016-04-01
- Volume
- 134
- Issue
- 4
- Pages
- 367
- ISSN
- 2168-6165 (ISSN-L)
- OpenAlex
- W2277325960
- Cited by
- 389
- References
- 25
- FWCI
- 55.29
- Type
- journal article
- Language
- en
- Open access
- bronze
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- The paper
- Hwang, T. S., Gao, S. S., Liu, L., Lauer, A. K., Bailey, S. T., Flaxel, C. J., Wilson, D. J., Huang, D., & Jia, Y. (2016). Automated Quantification of Capillary Nonperfusion Using Optical Coherence Tomography Angiography in Diabetic Retinopathy. JAMA Ophthalmology. https://doi.org/10.1001/jamaophthalmol.2015.5658
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