Visual function correlates with foveal slope, retinal and choroidal thickness on optical coherence tomography in type 2 Macular Telangiectasia

2021 ◽  
pp. 1-7
Author(s):  
Ramesh Venkatesh ◽  
Sameeksha Agrawal ◽  
Nikitha Gurram Reddy ◽  
Deepashri Mutalik ◽  
Pranjal Mishra ◽  
...  
2019 ◽  
Vol 103 (11) ◽  
pp. 1584-1589 ◽  
Author(s):  
Jay C Wang ◽  
Inês Laíns ◽  
Patrick Oellers ◽  
Ivana K Kim ◽  
Joan W Miller ◽  
...  

PurposeTo investigate the choroidal thickness (CT) and choroidal vascular densities (CVD) of patients with macular telangiectasia type 2 (MacTel2) and their association with other multimodal imaging features, using swept-source optical coherence tomography (SS-OCT).MethodsProspective, cross-sectional study. Consecutive patients with MacTel2 along with controls without any macular disease were included. Fundus photography, confocal blue reflectance, near-infrared reflectance, autofluorescence, fluorescein angiography, spectral domain OCT and SS-OCT were performed. Images were independently analysed by two graders, and CVD was calculated from binarised en face SS-OCT images. CT was obtained from the SS-OCT platform via built-in automated segmentation. Multilevel mixed-effects models were used for statistical analysis.ResultsThirty-nine eyes of 20 patients with MacTel2 and 29 eyes of 15 control patients were included. Average CT and perifoveal temporal CT did not differ significantly between eyes with MacTel2 and control eyes (p≥0.350), when accounting for confounding factors. Overall and temporal CVD also did not significantly differ between the two groups (p≥0.490).ConclusionCT and CVD did not significantly differ between MacTel2 and control eyes in this study using SS-OCT. Even though MacTel2 may include abnormalities involving the choroid, these are likely minor in comparison to the predominant retinal changes.


Retina ◽  
2017 ◽  
Vol 37 (12) ◽  
pp. 2248-2253 ◽  
Author(s):  
Durgasri Jaisankar ◽  
Rajiv Raman ◽  
Harshal Gondhale ◽  
Jay Chhablani ◽  
Manisha Agarwal

2015 ◽  
Vol 46 (2) ◽  
pp. 162-170 ◽  
Author(s):  
Renata Portella Nunes ◽  
Raquel Goldhardt ◽  
Carlos Alexandre de Amorim Garcia Filho ◽  
Mariana R. Thorell ◽  
Ashkan M. Abbey ◽  
...  

2017 ◽  
Vol 2017 ◽  
pp. 1-4
Author(s):  
Victor M. Villegas ◽  
Jaclyn L. Kovach

Optical coherence tomography angiography (OCTA) is a recently established noninvasive technology for evaluation of the retinal and choroidal vasculature. The literature regarding the findings in macular telangiectasia type 2 (MacTel2) is scarce. We report the OCTA findings associated with a subject with MacTel2 and secondary subretinal neovascularization (SNV). The commercially available Cirrus 5000 with AngioPlex (Zeiss, Jena, Germany) was used, without any subsequent image modification or processing. Subretinal neovascularization was detectable with OCTA at the level of the outer retina and choriocapillaris. Microvascular abnormalities associated with MacTel2 were present mostly in the deep capillary plexus of the retina temporally.


2020 ◽  
pp. bjophthalmol-2020-317131
Author(s):  
Jessica Loo ◽  
Cindy X Cai ◽  
John Choong ◽  
Emily Y Chew ◽  
Martin Friedlander ◽  
...  

AimTo develop a fully automatic algorithm to segment retinal cavitations on optical coherence tomography (OCT) images of macular telangiectasia type 2 (MacTel2).MethodsThe dataset consisted of 99 eyes from 67 participants enrolled in an international, multicentre, phase 2 MacTel2 clinical trial (NCT01949324). Each eye was imaged with spectral-domain OCT at three time points over 2 years. Retinal cavitations were manually segmented by a trained Reader and the retinal cavitation volume was calculated. Two convolutional neural networks (CNNs) were developed that operated in sequential stages. In the first stage, CNN1 classified whether a B-scan contained any retinal cavitations. In the second stage, CNN2 segmented the retinal cavitations in a B-scan. We evaluated the performance of the proposed method against alternative methods using several performance metrics and manual segmentations as the gold standard.ResultsThe proposed method was computationally efficient and accurately classified and segmented retinal cavitations on OCT images, with a sensitivity of 0.94, specificity of 0.80 and average Dice similarity coefficient of 0.94±0.07 across all time points. The proposed method produced measurements that were highly correlated with the manual measurements of retinal cavitation volume and change in retinal cavitation volume over time.ConclusionThe proposed method will be useful to help clinicians quantify retinal cavitations, assess changes over time and further investigate the clinical significance of these early structural changes observed in MacTel2.


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