The DOI matches its Crossref record.
Correlation of Histologic and Clinical Images to Determine the Diagnostic Value of Fluorescein Angiography for Studying Retinal Capillary Detail
Open accessAbstract
PURPOSE: To delineate morphometric and quantitative features of the capillary image derived from high-resolution fundus fluorescein angiography (FFA) and consequently determine the diagnostic value of FFA for studying the retinal capillary circulation. METHODS: Retinal capillary images obtained from healthy young subjects using high-resolution FFA were compared with confocal scanning laser microscopic capillary images derived from the retinas of age-matched human donors. Confocal microscopic images were acquired from retinal flatmount tissue after central retinal artery cannulation, perfusion fixation, and antibody labeling. Capillary images from equivalent retinal regions were morphologically and quantitatively analyzed in both groups. RESULTS: Ten human subjects (mean age, 27.4 years) were used for FFA studies, and five cadaveric eyes (mean donor age, 26.5 years) were used for histologic studies. In histologic specimens the density of the superficial capillary network was significantly greater than that of the deep capillary network. Despite use of a healthy young population, only 30% of high-resolution FFA studies provided clear capillary images. The configuration of the capillary network in FFA images was comparable to the superficial capillary network in confocal microscope images; however, the density of the capillary network in FFA images was consistently lower than that of histologic images. CONCLUSIONS: FFA provides incomplete morphologic information about the superficial capillary network and even less information about the deep capillary network. Caution should, therefore, be exercised when using FFA data to extrapolate information about microvascular histopathologic processes. The usefulness of newer technology for studying retinal capillary detail should be investigated.
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
Cited by
Spaide, R. F., Klancnik, J. M., & Cooney, M. J. (2015) · JAMA Ophthalmology · doi:10.1001/jamaophthalmol.2014.3616 · Cited by 1,620
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
Kuehlewein, L., Bansal, M., Lenis, T. L., Iafe, N. A., Sadda, S. R., Bonini Filho, M. A., De Carlo, T. E., Waheed, N. K., Duker, J. S., & Sarraf, D. (2015) · American Journal of Ophthalmology · doi:10.1016/j.ajo.2015.06.030 · Cited by 344
Optical coherence tomography angiography of the foveal avascular zone in diabetic retinopathy
Freiberg, F. J., Pfau, M., Wons, J., Wirth, M. A., Becker, M. D., & Michels, S. (2016) · Graefe's Archive for Clinical and Experimental Ophthalmology · doi:10.1007/s00417-015-3148-2 · Cited by 299
Elsharkawy, M., Elrazzaz, M., Sharafeldeen, A., Alhalabi, M., Khalifa, F., Soliman, A., Elnakib, A., Mahmoud, A., Ghazal, M., El-Daydamony, E., et al. (2022) · Sensors · doi:10.3390/s22093490 · Cited by 38
Metadata
- Authors
- Mendis, K. R., Balaratnasingam, C., Yu, P., Barry, C. J., McAllister, I. L., Cringle, S. J., & Yu, D.-Y.
- Venue
- Investigative Opthalmology & Visual Science
- Published
- 2010-11-01
- Volume
- 51
- Issue
- 11
- Pages
- 5864
- ISSN
- 0146-0404 (ISSN-L)
- 1552-5783
- OpenAlex
- W2013425736
- Cited by
- 226
- References
- 0
- FWCI
- 2.41
- Type
- journal article
- Language
- en
- Open access
- green
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: Correlation of Histologic and Clinical Images to Determine the Diagnostic Value of Fluorescein Angiography for Studying Retinal Capillary Detail. https://app.cochat.ai/papers/10.1167/iovs.10-5333
- The paper
- Mendis, K. R., Balaratnasingam, C., Yu, P., Barry, C. J., McAllister, I. L., Cringle, S. J., & Yu, D.-Y. (2010). Correlation of Histologic and Clinical Images to Determine the Diagnostic Value of Fluorescein Angiography for Studying Retinal Capillary Detail. Investigative Opthalmology & Visual Science. https://doi.org/10.1167/iovs.10-5333
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.