scholarly journals Longitudinal analysis of subfoveal choroidal thickness after panretinal laser photocoagulation in diabetic retinopathy using swept-source optical coherence tomography

2020 ◽  
Vol 64 (3) ◽  
pp. 285-291
Author(s):  
Kamel Taher Eleiwa ◽  
Ahmed Bayoumy ◽  
Mahmoud Abdelrahman Elhusseiny ◽  
Khalid Gamil ◽  
Amr Sharawy
Keyword(s):  
Optical Coherence Tomography ◽  
Diabetic Retinopathy ◽  
Longitudinal Analysis ◽  
Laser Photocoagulation ◽  
Choroidal Thickness ◽  
Optical Coherence ◽  
Swept Source ◽  
Subfoveal Choroidal Thickness

scholarly journals Changes in choroidal thickness in advanced diabetic retinopathy treated with pan-retinal photocoagulation using a pattern scanning laser versus a conventional laser

2020 ◽  
Author(s):  
Nari Park ◽  
In Gul Lee ◽  
Jee Taek Kim
Keyword(s):  
Optical Coherence Tomography ◽  
Diabetic Retinopathy ◽  
Choroidal Thickness ◽  
Optical Coherence ◽  
Swept Source ◽  
Pan Retinal Photocoagulation ◽  
Baseline Values ◽  
Laser Group ◽  
Conventional Laser ◽  
Retinal Photocoagulation

Abstract Background : To compare the effect of pan-retinal photocoagulation (PRP) using pattern scanning or conventional laser on subfoveal choroidal thickness (SFChT). Methods : Thirty-eight patients (64 eyes) with advanced diabetic retinopathy (DR) who underwent PRP using pattern scanning or conventional laser were included. Changes in SFChT were compared with baseline values at 1, 3, 6, and 12 months after PRP using swept-source optical coherence tomography. Results : The conventional laser group showed statistically significant decrease in SFChT at 1, 3, 6, and 12 months after PRP ( P <0.001). SFChT was significantly decreased at 3 ( P = 0.025), 6 ( P = 0.004), and 12 months ( P < 0.001) after treatment in the pattern laser group. Conclusion : Eyes with advanced DR showed a significant reduction in SFChT over 12 months regardless of the type of laser used; however, the reduction was sooner after conventional laser than after pattern laser.

scholarly journals Changes in choroidal thickness in advanced diabetic retinopathy treated with pan-retinal photocoagulation using a pattern scanning laser versus a conventional laser

2019 ◽  
Author(s):  
Nari Park ◽  
Jee Taek Kim
Keyword(s):  
Optical Coherence Tomography ◽  
Diabetic Retinopathy ◽  
Choroidal Thickness ◽  
Optical Coherence ◽  
Swept Source ◽  
Pan Retinal Photocoagulation ◽  
Baseline Values ◽  
Laser Group ◽  
Conventional Laser ◽  
Retinal Photocoagulation

Abstract Background: To compare the effect of pan-retinal photocoagulation (PRP) using pattern scanning or conventional laser on subfoveal choroidal thickness (SFChT). Methods: Thirty-eight patients (64 eyes) with advanced diabetic retinopathy (DR) who underwent PRP using pattern scanning or conventional laser were included. Changes in SFChT were compared with baseline values at 1, 3, 6, and 12 months after PRP using swept-source optical coherence tomography. Results: The conventional laser group showed statistically significant decrease in SFChT at 1, 3, 6, and 12 month after PRP (P<0.001). SFChT was significantly decreased at 3 (P = 0.025), 6 (P = 0.004), and 12 months (P < 0.001) after treatment in the pattern laser group. Conclusions: Eyes with advanced DR showed a significant reduction in SFChT over 12 months regardless of the type of laser used; however, the reduction was sooner after conventional laser than after pattern laser.

scholarly journals Changes in choroidal thickness in advanced diabetic retinopathy treated with pan-retinal photocoagulation using a pattern scanning laser versus a conventional laser

2019 ◽  
Author(s):  
Nari Park ◽  
Jee Taek Kim
Keyword(s):  
Optical Coherence Tomography ◽  
Diabetic Retinopathy ◽  
Choroidal Thickness ◽  
Optical Coherence ◽  
Swept Source ◽  
Pan Retinal Photocoagulation ◽  
Baseline Values ◽  
Laser Group ◽  
Conventional Laser ◽  
Retinal Photocoagulation

Abstract Background : To compare the effect of pan-retinal photocoagulation (PRP) using pattern scanning or conventional laser on subfoveal choroidal thickness (SFChT). Methods : Thirty-eight patients (64 eyes) with advanced diabetic retinopathy (DR) who underwent PRP using pattern scanning or conventional laser were included. Changes in SFChT were compared with baseline values at 1, 3, 6, and 12 months after PRP using swept-source optical coherence tomography. Results : The conventional laser group showed statistically significant decrease in SFChT at 1, 3, 6, and 12 month after PRP ( P <0.001). SFChT was significantly decreased at 3 ( P = 0.025), 6 ( P = 0.004), and 12 months ( P < 0.001) after treatment in the pattern laser group. Conclusion : Eyes with advanced DR showed a significant reduction in SFChT over 12 months regardless of the type of laser used; however, the reduction was sooner after conventional laser than after pattern laser.

CHOROIDAL THICKNESS IN DIABETIC RETINOPATHY ASSESSED WITH SWEPT-SOURCE OPTICAL COHERENCE TOMOGRAPHY

Retina ◽  
2018 ◽  
Vol 38 (1) ◽  
pp. 173-182 ◽  
Author(s):  
Inês Laíns ◽  
Katherine E. Talcott ◽  
Ana R. Santos ◽  
João H. Marques ◽  
Pedro Gil ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Diabetic Retinopathy ◽  
Choroidal Thickness ◽  
Optical Coherence ◽  
Swept Source

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 Automated macular choroidal thickness measurement by swept-source optical coherence tomography in pseudoxanthoma elasticum

2016 ◽  
Vol 2 (1) ◽  
Author(s):  
Rosa Dolz-Marco ◽  
María Andreu-Fenoll ◽  
Pablo Hernández-Martínez ◽  
M. Dolores Pinazo-Durán ◽  
Roberto Gallego-Pinazo
Keyword(s):  
Optical Coherence Tomography ◽  
Choroidal Thickness ◽  
Pseudoxanthoma Elasticum ◽  
Thickness Measurement ◽  
Optical Coherence ◽  
Swept Source

scholarly journals Assessment of Choroidal Thickness in Healthy and Glaucomatous Eyes Using Swept Source Optical Coherence Tomography

PLoS ONE ◽  
2014 ◽  
Vol 9 (10) ◽  
pp. e109683 ◽  
Author(s):  
Chunwei Zhang ◽  
Andrew J. Tatham ◽  
Felipe A. Medeiros ◽  
Linda M. Zangwill ◽  
Zhiyong Yang ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Choroidal Thickness ◽  
Optical Coherence ◽  
Swept Source
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