The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
ULTRA–WIDE-FIELD ANGIOGRAPHY IMPROVES THE DETECTION AND CLASSIFICATION OF DIABETIC RETINOPATHY
Abstract
PURPOSE: To evaluate patients with diabetic retinopathy using ultra-wide-field fluorescein angiography and to compare the visualized retinal pathology with that seen on an overly of conventional 7 standard field (7SF) imaging. METHODS: Two hundred and eighteen eyes of 118 diabetic patients who underwent diagnostic fluorescein angiography using the Optos Optomap Panoramic 200A imaging system were included. The visualized area of the retina, retinal nonperfusion, retinal neovascularization, and panretinal photocoagulation were quantified by two independent masked graders. The respective areas identified on the ultra-wide-field fluorescein angiography image were compared with an overly of a modified 7SF image as outlined in the Early Treatment Diabetic Retinopathy Study. RESULTS: Ultra-wide-field fluorescein angiograms imaging, on average, demonstrated 3.2 times more total retinal surface area than 7SF. When compared with 7SF, ultra-wide-field fluorescein angiography showed 3.9 times more nonperfusion (P < 0.001), 1.9 times more neovascularization (P = 0.036), and 3.8 times more panretinal photocoagulation (P < 0.001). In 22 eyes (10%), ultra-wide-field fluorescein angiography demonstrated retinal pathology (including nonperfusion and neovascularization) not evident in an 7SF overly. CONCLUSION: Compared with conventional 7SF imaging, ultra-wide-field fluorescein angiography reveals significantly more retinal vascular pathology in patients with diabetic retinopathy. Improved retinal visualization may alter the classification of diabetic retinopathy and may therefore influence follow-up and treatment of these patients.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Kaur, C., Foulds, W. S., & Ling, E. A. (2008) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2008.09.003 · Cited by 470
Midperipheral Fundus Involvement in Diabetic Retinopathy
Shimizu, K., Kobayashi, Y., & Muraoka, K. (1981) · Ophthalmology · doi:10.1016/s0161-6420(81)34983-5 · Cited by 303
Vinores, S. A., Youssri, A. I., Luna, J. D., Chen, Y., Bhargave, S., Vinores, M. A., Schoenfeld, C., Peng, B., Chan, C. C., LaRochelle, W. J., et al. (1997) · PubMed · Cited by 239
Ultra-Wide-Field Fluorescein Angiography of the Ocular Fundus
Manivannan, A., Plskova, J., Farrow, A., Mckay, S., Sharp, P. F., & Forrester, J. V. (2005) · American Journal of Ophthalmology · doi:10.1016/j.ajo.2005.02.055 · Cited by 170
SENSITIVITY AND SPECIFICITY OF THE OPTOS OPTOMAP FOR DETECTING PERIPHERAL RETINAL LESIONS
Mackenzie, P. J., Russell, M. K., MA, P. E., Isbister, C., & Maberley, D. (2007) · Retina · doi:10.1097/iae.0b013e3180592b5c · Cited by 120
Henricsson, M., & Heijl, A. (1994) · Acta Ophthalmologica · doi:10.1111/j.1755-3768.1994.tb07181.x · Cited by 60
Csutak, A., Lengyel, I., Jónasson, F., Leung, I., Geirsdottir, A., Xing, W., & Pető, T. (2010) · Eye · doi:10.1038/eye.2010.85 · Cited by 37
Ultrawide Angle Angiography for the Detection and Management of Diabetic Retinopathy
Kaines, A., Oliver, S. C. N., Reddy, S., & Schwartz, S. D. (2009) · International Ophthalmology Clinics · doi:10.1097/iio.0b013e31819fd471 · Cited by 36
Cited by
Ting, D. S. W., Cheung, G. C. M., & Wong, T. Y. (2016) · Clinical & Experimental Ophthalmology · doi:10.1111/ceo.12696 · Cited by 1,066
Diabetic retinopathy - ocular complications of diabetes mellitus
Nentwich, M. M. (2015) · World Journal of Diabetes · doi:10.4239/wjd.v6.i3.489 · Cited by 553
Microvascular Complications of Type 2 Diabetes Mellitus
Faselis, C., Katsimardou, A., Imprialos, K., Deligkaris, P., Kallistratos, M., & Dimitriadis, K. (2020) · Current Vascular Pharmacology · doi:10.2174/1570161117666190502103733 · Cited by 549
OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY FEATURES OF DIABETIC RETINOPATHY
Hwang, T. S., Jia, Y., Gao, S. S., Bailey, S. T., Lauer, A. K., Flaxel, C. J., Wilson, D. J., & Huang, D. (2015) · Retina · doi:10.1097/iae.0000000000000716 · Cited by 388
Silva, P. S., Cavallerano, J. D., Haddad, N. M. N., Kwak, H., Dyer, K. H., Omar, A. F., Shikari, H., Aiello, L. M., Sun, J. K., & Aiello, L. P. (2015) · Ophthalmology · doi:10.1016/j.ophtha.2015.01.008 · Cited by 340
Metadata
- Authors
- Wessel, M. M., Aaker, G. D., Parlitsis, G., Cho, M., D'Amico, D. J., & Kiss, S.
- Venue
- Retina
- Published
- 2012-04
- Volume
- 32
- Issue
- 4
- Pages
- 785-791
- ISSN
- 0275-004X (ISSN-L)
- OpenAlex
- W2328462406
- Cited by
- 359
- References
- 8
- FWCI
- 10.53
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: ULTRA–WIDE-FIELD ANGIOGRAPHY IMPROVES THE DETECTION AND CLASSIFICATION OF DIABETIC RETINOPATHY. https://app.cochat.ai/papers/10.1097/iae.0b013e3182278b64
- The paper
- Wessel, M. M., Aaker, G. D., Parlitsis, G., Cho, M., D'Amico, D. J., & Kiss, S. (2012). ULTRA–WIDE-FIELD ANGIOGRAPHY IMPROVES THE DETECTION AND CLASSIFICATION OF DIABETIC RETINOPATHY. Retina. https://doi.org/10.1097/iae.0b013e3182278b64
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
