Characterization of Stargardt Disease Using Polarization-Sensitive Optical Coherence Tomography and Fundus Autofluorescence Imaging

2013 ◽  
Vol 54 (9) ◽  
pp. 6416 ◽  
Author(s):  
Markus Ritter ◽  
Stefan Zotter ◽  
Wolfgang M. Schmidt ◽  
Reginald E. Bittner ◽  
Gabor G. Deak ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Fundus Autofluorescence ◽  
Optical Coherence ◽  
Autofluorescence Imaging ◽  
Stargardt Disease

scholarly journals Fundus autofluorescence, spectral‐domain optical coherence tomography, and histology correlations in a Stargardt disease mouse model

2020 ◽  
Vol 34 (3) ◽  
pp. 3693-3714 ◽  
Author(s):  
Yuan Fang ◽  
Alexander Tschulakow ◽  
Tatjana Taubitz ◽  
Barbara Illing ◽  
Antje Biesemeier ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Mouse Model ◽  
Fundus Autofluorescence ◽  
Spectral Domain ◽  
Optical Coherence ◽  
Stargardt Disease

Best Clinical Practice for Age-Related Macular Degeneration Imaging

2019 ◽  
Vol 3 (3) ◽  
pp. 167-171 ◽  
Author(s):  
K. Bailey Freund ◽  
Cynthia Toth ◽  
Marco Zarbin
Keyword(s):  
Optical Coherence Tomography ◽  
Macular Degeneration ◽  
Fundus Autofluorescence ◽  
Age Related Macular Degeneration ◽  
Fundus Photography ◽  
Optical Coherence ◽  
Autofluorescence Imaging ◽  
Clinical Practices ◽  
Age Related

Purpose: To identify best clinical practices for macular degeneration imaging. Methods: We reviewed best clinical practices for imaging patients with age-related macular degeneration. These recommendations are based on different levels of evidence (I-III). Results: The type of imaging needed depends to some degree on the clinical scenario: first visit vs follow-up visit vs poorly responsive patient. Conclusions: Imaging technologies that may be useful include optical coherence tomography, fundus photography, fundus autofluorescence imaging, fluorescein angiography, indocyanine green angiography, and optical coherence tomography angiography.

scholarly journals Association of Fundus Autofluorescence Findings and Outer Retinal Lesions on Optical Coherence Tomography With Visual Acuity in Birdshot Chorioretinopathy

2019 ◽  
Vol 3 (4) ◽  
pp. 235-241
Author(s):  
Laura J. Kopplin ◽  
Marion Munk ◽  
Justin Baynham ◽  
James T. Rosenbaum ◽  
Eric B. Suhler ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Visual Acuity ◽  
Macular Edema ◽  
Vision Loss ◽  
Fundus Autofluorescence ◽  
Demographic Data ◽  
Optical Coherence ◽  
Autofluorescence Imaging ◽  
Birdshot Chorioretinopathy ◽  
Retinal Lesions

Purpose: This article investigates the optical coherence tomography (OCT) and fundus autofluorescence imaging findings in birdshot chorioretinopathy (BSCR) and their association with visual acuity (VA). Methods: In a retrospective, cross-sectional study, we evaluated OCT images for changes in retinal structure including cystoid macular edema (CME), epiretinal membrane, and outer retinal lesions. We assessed autofluorescence images for hypoautofluorescent and hyperautofluorescent changes and noted the distribution of the lesions. Demographic data and VA at the time of imaging were also collected. Associations between OCT and autofluorescence findings and logarithm of the minimum angle of resolution VA were tested using linear regression. Results: We conducted a chart review of 80 eyes from 40 patients with BSCR. Outer retinal lesions were found on OCT in 28 of 80 eyes (35%) and disruption of the outer segment ellipsoid zone (EZ) occurred in 23 eyes (28.7%). Macular hypoautofluorescent lesions were more common than hyperautofluorescent lesions, present in 58.8% and 13% of eyes, respectively. The presence of outer retinal lesions on OCT was significantly associated with reduced VA ( P = .006) as was EZ disruption ( P = .003). These associations remained significant after accounting for the presence of macular edema. There was a trend toward association of macular hypoautofluorescent lesions with decreased vision, although it was not statistically significant ( P = .17). Conclusions: The association of outer retinal lesions with decreased VA suggests a mechanism of central vision loss that is distinct from CME and may provide an additional objective finding to monitor disease activity in BSCR patients.

scholarly journals Visible-light optical coherence tomography-based multimodal system for quantitative fundus autofluorescence imaging

2018 ◽  
Vol 243 (17-18) ◽  
pp. 1265-1274 ◽  
Author(s):  
Zahra Nafar ◽  
Rong Wen ◽  
Shuliang Jiao
Keyword(s):  
Optical Coherence Tomography ◽  
Visible Light ◽  
Pigment Epithelium ◽  
Fundus Autofluorescence ◽  
Retinal Pigment ◽  
Research Progress ◽  
Retinal Diseases ◽  
Optical Coherence ◽  
Autofluorescence Imaging ◽  
Signal Attenuation

Fundus autofluorescence (FAF) imaging is commonly used in ophthalmic clinics for diagnosis and monitoring of retinal diseases. Lipofuscin in the retinal pigment epithelium (RPE), with A2E as its most abundant component and a visual cycle by-product, is the major fluorophore of FAF. Lipofuscin accumulates with age and is implicated in degenerative retinal diseases. The amount of lipofuscin in RPE can be assessed by quantitative measurement of FAF. However, the currently available FAF imaging technologies are not capable of quantifying the absolute intensity of FAF, which is essential for comparing images from different individuals, and from the same individual over time. One major technical difficulty is to compensate the signal attenuation by ocular media anterior to the RPE (pre-RPE media). FAF intensity is also influenced by fluctuations in imaging conditions such as illumination power and detector sensitivity, all of which need to be compensated. In this review, we present the concept and research progress of using visible-light optical coherence tomography-based simultaneous multimodal retinal imaging to compensate signal attenuation by pre-RPE media and the influence of parameters of the acquisition system for accurate measurement of FAF intensities. Impact statement Quantitative fundus autofluorescence imaging with simultaneous visible-light optical coherence tomography-based multimodal technology has potential significant impact on the diagnosis and monitoring the progression of retinal diseases.

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