Characteristics of Hyperautofluorescent Choroidal Vessels within the Macular Atrophic Area Using Spectral-Domain Optical Coherence Tomography

2016 ◽  
Vol 235 (4) ◽  
pp. 208-214 ◽  
Author(s):  
Ari Shinojima ◽  
Ryusaburo Mori ◽  
Hiroyuki Nakashizuka ◽  
Koji Tanaka ◽  
Kyoko Fujita ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Choroidal Thickness ◽  
Retinal Thickness ◽  
Fundus Autofluorescence ◽  
Optical Coherence ◽  
Autofluorescence Imaging ◽  
Subfoveal Choroidal Thickness ◽  
Group 2 ◽  
Choroidal Vessels ◽  
Group 1

Purpose: The aim of this study was to clarify the characteristic findings in patients with geographic atrophy with or without hyperautofluorescent choroidal vessels within macular atrophic areas on short-wavelength fundus autofluorescence imaging. Procedures: Sixty-seven eyes of 43 consecutive patients with macular atrophic areas were divided into groups with (group 1) and without (group 2) hyperautofluorescent choroidal vessels on fundus autofluorescence imaging and then retrospectively studied using spectral-domain optical coherence tomography. Results: In group 1 (n = 21), the average subfoveal choroidal thickness was 61.5 ± 20.1 μm, and the average foveal retinal thickness was 93.0 ± 51.3 μm. On the other hand, in group 2 (n = 46), the average subfoveal choroidal thickness was 200.7 ± 83.1 μm, and the average foveal retinal thickness was 109.2 ± 58.5 μm. Although retinal thickness did not differ significantly between the two groups (p = 0.28), the difference in choroidal thickness was statistically significant (p < 0.001). Conclusions: Choroidal thinning might contribute to the hyperautofluorescence of choroidal vessels.

Swept-Source Optical Coherence Tomography Angiography in Vitreomacular Traction Syndrome

2021 ◽  
pp. 247412642110458
Author(s):  
Zofia Anna Nawrocka ◽  
Zofia Nawrocka ◽  
Jerzy Nawrocki
Keyword(s):  
Optical Coherence Tomography ◽  
Optical Coherence Tomography Angiography ◽  
Retinal Thickness ◽  
Optical Coherence ◽  
Spontaneous Release ◽  
Swept Source ◽  
Avascular Zone ◽  
Group 3 ◽  
Group 2 ◽  
Group 1

Purpose: A swept-source optical coherence tomography angiography (SS-OCTA) analysis of vasculature in vitreomacular traction (VMT) before and after surgery as well as 15 months’ “watchful waiting” follow-up data. Methods: A retrospective analysis of 38 eyes. Patients were divided into group 1: untreated (20 eyes); group 2: untreated, spontaneous release of traction (4 eyes); and group 3: vitrectomy (14 eyes). Results: In all cases, SS-OCTA of the choriocapillaris revealed a hyporeflective area, which disappeared after traction release. In group 1, none of the analyzed factors significantly changed. In group 2, visual acuity (VA) improved from 0.3 logMAR to 0.1 logMAR. None of the following parameters significantly changed: central choroidal thickness, superficial fovea avascular zone (sFAZ), deep fovea avascular zone (dFAZ), and vessel densities. In 1 eye a lamellar macular hole formed. Factors increasing the chances of spontaneous release of traction were width of traction and central retinal thickness ( P < .05). In group 3, VA improved from 0.27 Snellen (0.6 logMAR) to 0.44 Snellen (0.4 logMAR) ( P < .05). Postoperative OCTA revealed significant decreases in central retinal thickness ( P < .001), the parameters sFAZ, and dFAZ ( P < .05). Conclusions: sFAZ and dFAZ decreased after vitrectomy but not after spontaneous release of traction. VA was better in eyes with spontaneous release of traction. The degree of improvement in VA was greater in the vitrectomy group. In all cases a hyporeflective area is visible in the choriocapillaris layer in SS-OCTA. It disappears when traction is released. Early treatment, at least in patients with lower VA, might be beneficial.

scholarly journals Automatic Segmentation of Choroid Layer Using Deep Learning on Spectral Domain Optical Coherence Tomography

2021 ◽  
Vol 11 (12) ◽  
pp. 5488
Author(s):  
Wei Ping Hsia ◽  
Siu Lun Tse ◽  
Chia Jen Chang ◽  
Yu Len Huang
Keyword(s):  
Optical Coherence Tomography ◽  
Deep Learning ◽  
Choroidal Thickness ◽  
Automatic Segmentation ◽  
Average Error ◽  
Good Prediction ◽  
Optical Coherence ◽  
Learning Method ◽  
Subfoveal Choroidal Thickness ◽  
Fully Connected

The purpose of this article is to evaluate the accuracy of the optical coherence tomography (OCT) measurement of choroidal thickness in healthy eyes using a deep-learning method with the Mask R-CNN model. Thirty EDI-OCT of thirty patients were enrolled. A mask region-based convolutional neural network (Mask R-CNN) model composed of deep residual network (ResNet) and feature pyramid networks (FPNs) with standard convolution and fully connected heads for mask and box prediction, respectively, was used to automatically depict the choroid layer. The average choroidal thickness and subfoveal choroidal thickness were measured. The results of this study showed that ResNet 50 layers deep (R50) model and ResNet 101 layers deep (R101). R101 U R50 (OR model) demonstrated the best accuracy with an average error of 4.85 pixels and 4.86 pixels, respectively. The R101 ∩ R50 (AND model) took the least time with an average execution time of 4.6 s. Mask-RCNN models showed a good prediction rate of choroidal layer with accuracy rates of 90% and 89.9% for average choroidal thickness and average subfoveal choroidal thickness, respectively. In conclusion, the deep-learning method using the Mask-RCNN model provides a faster and accurate measurement of choroidal thickness. Comparing with manual delineation, it provides better effectiveness, which is feasible for clinical application and larger scale of research on choroid.

scholarly journals Optical Coherence Tomography Characteristics of the Choroid Underlying Congenital Hypertrophy of the Retinal Pigment Epithelium

2020 ◽  
Vol 6 (4) ◽  
pp. 238-243
Author(s):  
Jasmine H. Francis ◽  
Ethan K. Sobol ◽  
Molly Greenberg ◽  
Robert Folberg ◽  
David H. Abramson
Keyword(s):  
Optical Coherence Tomography ◽  
Retinal Pigment Epithelium ◽  
Choroidal Thickness ◽  
Retinal Thickness ◽  
Pigment Epithelium ◽  
Retinal Pigment ◽  
Enhanced Depth Imaging ◽  
Optical Coherence ◽  
Depth Imaging ◽  
Congenital Hypertrophy

Purpose: This study evaluates and characterizes the choroid underlying congenital hypertrophy of the retinal pigment epithelium (CHRPE). Methods: Retrospective observational study of CHRPE at least 2 mm in diameter. Choroidal vascular architecture was qualitatively examined. Choroidal thickness was measured by 2 independent observers using enhanced depth imaging spectral domain optical coherence tomography. Results: Forty-six eyes of 46 patients with CHRPE were included. Thirty-two lesions had imaging sufficient for analysis. Haller’s layer was healthy in 18 (56%), thin in 13 (41%), and absent in 1 (2%). Sattler’s layer was atrophic in 30 (94%), and choriocapillaris was atrophic in 31 (97%). CHRPE with thinned Haller’s layer had significantly larger diameter. The mean sub-CHRPE choroidal thickness was 82.4 ± 7.9 µm, compared to a thickness of 148.4 ± 9.6 µm in the normal adjacent choroid (p < 0.0001). Mean retinal thickness overlying the CHRPE was 77.3 ± 4.3 µm, compared to a retinal thickness of 137.8 ± 2.9 µm overlying the normal adjacent choroid (p < 0.0001). Sub-CHRPE choroidal thickness was a mean of 56.2 ± 3.1% of the adjacent normal choroidal thickness. Conclusion: The underlying choroid CHRPE is thinner than the adjacent normal choroid. All layers of the choroid can be thin with a preference of the inner Sattler’s and choriocapillaris layers.

scholarly journals Assessment of the Effect of Vitiligo on Subfoveal Choroidal Thickness Using Spectral-Domain Optical Coherence Tomography

2020 ◽  
Vol Volume 14 ◽  
pp. 2265-2270
Author(s):  
Yousef Ahmed Fouad ◽  
Abdelrahman Gaber Salman ◽  
Thanaa Helmy Mohamed ◽  
Randa Hesham Ali Abdelgawad ◽  
Samah Ibraheem Hassen
Keyword(s):  
Optical Coherence Tomography ◽  
Choroidal Thickness ◽  
Spectral Domain ◽  
Optical Coherence ◽  
Subfoveal Choroidal Thickness
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