scholarly journals Association of macular thickness with parapapillary atrophy in myopic eyes

2020 ◽  
Author(s):  
Helong Piao ◽  
Yue Guo ◽  
Jun Young Ha ◽  
Mi Sun Sung ◽  
Sang Woo Park

Abstract Background: To investigate whether macular structure could be affected by axial elongation and to determine the association between macular intraretinal thickness and the microstructure of β-zone parapapillary atrophy (PPA) in myopic eyes.Methods: The study recruited 113 healthy myopic subjects (113 eyes). Images of the macula, subfoveal choroid, and optic nerve head were acquired using spectral-domain optical coherence tomography (SD-OCT). An automatic segmentation algorithm was used to segment the macular images into 7 intraretinal layers. PPA widths with and without Bruch’s membrane (PPA+BM and PPA-BM, respectively) were evaluated. Linear regression analysis was performed to evaluate the association between macular intraretinal thickness and axial length and the microstructure of PPA.Results: An increase in axial length was associated with a decrease in whole macular thickness of the peripheral region and an increase in whole macular thickness of the central region. Thickness alterations of the macular intraretinal layers were most apparent in the peripheral region. A significant correlation was found between PPA-BM width and macular intraretinal layer thickness, whereas no significant correlation was found between PPA+BM width and macular intraretinal layer thickness. Moreover, both PPA+BM and PPA-BM widths significantly correlated with subfoveal choroidal thickness.Conclusions: Macular intraretinal layer thickness may be affected by PPA-BM width. These findings indicate that the microstructure of PPA should be considered when evaluating the macula in patient with myopia and glaucoma.

2020 ◽  
Author(s):  
Helong Piao ◽  
Yue Guo ◽  
Jun Young Ha ◽  
Mi Sun Sung ◽  
Sang Woo Park

Abstract Background: To investigate whether macular structure could be affected by axial elongation and to determine the association between macular intraretinal thickness and the microstructure of β-zone parapapillary atrophy (PPA) in myopic eyes. Methods: The study recruited 113 healthy myopic subjects (113 eyes). Images of the macula, subfoveal choroid, and optic nerve head were acquired using spectral-domain optical coherence tomography (SD-OCT). An automatic segmentation algorithm was used to segment the macular images into 7 intraretinal layers. PPA widths with and without Bruch’s membrane (PPA+BM and PPA-BM, respectively) were evaluated. Linear regression analysis was performed to evaluate the association between macular intraretinal thickness and axial length and the microstructure of PPA. Results: An increase in axial length was associated with a decrease in whole macular thickness of the peripheral region and an increase in whole macular thickness of the central region. Thickness alterations of the macular intraretinal layers were most apparent in the peripheral region. A significant correlation was found between PPA-BM width and macular intraretinal layer thickness, whereas no significant correlation was found between PPA+BM width and macular intraretinal layer thickness. Moreover, both PPA+BM and PPA-BM widths significantly correlated with subfoveal choroidal thickness. Conclusions: Macular intraretinal layer thickness may be affected by PPA-BM width. These findings indicate that the microstructure of PPA should be considered when evaluating the macula in patient with myopia and glaucoma.


2019 ◽  
Author(s):  
Helong Piao ◽  
Yue Guo ◽  
Jun Young Ha ◽  
Mi Sun Sung ◽  
Sang Woo Park

Abstract BackgroundTo investigate whether macular structure could be affected by axial elongation and to determine the association between macular intraretinal thickness and the microstructure of β-zone parapapillary atrophy (PPA) in myopic eyes.MethodsThe study recruited 113 healthy myopic subjects (113 eyes). Images of the macula, subfoveal choroid, and optic nerve head were acquired using spectral-domain optical coherence tomography (SD-OCT). An automatic segmentation algorithm was used to segment the macular images into 7 intraretinal layers. PPA widths with and without Bruch’s membrane (PPA+BM and PPA-BM, respectively) were evaluated. Linear regression analysis was performed to evaluate the association between macular intraretinal thickness and axial length and the microstructure of PPA.ResultsAn increase in axial length was associated with a decrease in whole macular thickness of the peripheral region and an increase in whole macular thickness of the central region. Thickness alterations of the macular intraretinal layers were most apparent in the peripheral region. A significant correlation was found between PPA-BM width and macular intraretinal layer thickness, whereas no significant correlation was found between PPA+BM width and macular intraretinal layer thickness. Similar to axial length, as PPA-BM width increased, changes in macular intraretinal layer thickness were most pronounced in the peripheral region. Moreover, both PPA+BM and PPA-BM widths significantly correlated with subfoveal choroidal thickness.ConclusionsMacular intraretinal layer thickness may be affected by PPA-BM width. These findings indicate that the microstructure of PPA should be considered when evaluating the macula in patient with myopia and glaucoma.


2021 ◽  
Vol 11 (12) ◽  
pp. 5488
Author(s):  
Wei Ping Hsia ◽  
Siu Lun Tse ◽  
Chia Jen Chang ◽  
Yu Len Huang

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.


2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Andrew W. Francis ◽  
Justin Wanek ◽  
Mahnaz Shahidi

Purpose/Aim. The Ins2 (Akita) mouse is a spontaneous diabetic mouse model with a heterozygous mutation in the insulin 2 gene that results in sustained hyperglycemia. The purpose of the study was to assess global and local retinal layer thickness alterations in Akita mice by analysis of spectral domain optical coherence tomography (SD-OCT) images.Materials and Methods. SD-OCT imaging was performed in Akita and wild-type mice at 12 and 24 weeks of age. Inner retinal thickness (IRT), outer retinal thickness (ORT), total retinal thickness (TRT), and photoreceptor outer segment length (OSL) were measured. Mean global thickness values were compared between Akita and wild-type mice. Local thickness variations in Akita mice were assessed based on normative values in wild-type mice.Results. Akita mice had higher blood glucose levels and lower body weights (p<0.001). On average, IRT, ORT, and TRT were approximately 2% lower in Akita mice than in wild-type mice (p≤0.02). In Akita mice, the percent difference between retinal areas with thickness below and above normative values for IRT, ORT, and TRT was 22%, 32%, and 38%, respectively.Conclusions. These findings support the use of the Akita mouse model to study the retinal neurodegenerative effects of hyperglycemia.


2018 ◽  
Vol 30 (1) ◽  
pp. 48-57 ◽  
Author(s):  
Jaeryung Oh ◽  
Daniel Jinhag Baik ◽  
Jaemoon Ahn

Purpose: To quantify vascular and structural macular variables in healthy eyes and to investigate correlations between these variables and age using optical coherence tomography angiography. Materials and methods: A total of 261 eyes of 261 subjects with normal fundus were included. Central macular thickness, ganglion cell layer to inner plexiform layer thickness, outer retina layer thickness, subfoveal choroidal thickness, and choroidal vascularity index were measured using optical coherence tomography. Foveal avascular zone area, vascular density, and flow void area were measured using optical coherence tomography angiography. Results: Vascular density in the superficial capillary plexus was correlated with central macular thickness, ganglion cell layer to inner plexiform layer thickness, and outer retina layer thickness ( P < 0.001, P = 0.004, and P < 0.001, respectively). Vascular density in the deep capillary plexus was correlated with central macular thickness and outer retina layer thickness ( P = 0.003 and P = 0.001, respectively). Vascular density of choriocapillaris was correlated with vascular density of superficial capillary plexus and deep capillary plexus ( P < 0.001 and P = 0.001, respectively). Conclusion: Vascular density of choriocapillaris varies with retinal vascular density rather than the structure of choroid using optical coherence tomography angiography. In contrast, retinal vascular density changes as the retinal structure. Our results provide more information about the relationship between retina and choroid.


2016 ◽  
Vol 27 (3) ◽  
pp. 331-335 ◽  
Author(s):  
Isil Kurultay-Ersan ◽  
Sinan Emre

Purpose To evaluate the alterations in mean central choroidal, central macular, and disk retinal nerve fiber layer (RNFL) thickness measured by optical coherence tomography (OCT) during Valsalva maneuver among patients with high refractive errors. Methods A total of 60 high myopic (≥-6.0 D) and 50 high hyperopic (≥ + 3.0 D) eyes of 58 patients aged 19-65 years with visual acuity of 20/20 and without any ophthalmologic or systemic diseases were evaluated by OCT before and after the Valsalva maneuver. The choroidal thickness was measured with enhanced depth imaging OCT method. Central macular thickness, disk RNFL thickness, and axial length were also assessed. Results Mean choroidal thickness increased significantly from 275.0 ± 27.2 μm at rest to 279.8 ± 31.6 μm after Valsalva maneuver in high myopic patients, and from 308.2 ± 27.3 μm to 313.6 ± 28.5 μm in high hyperopic patients (p<0.01 for each). A significant negative correlation of the choroidal thickness was noted with axial length (r = -0.509, p<0.01) and age (r = -0.224, p = 0.01) in the overall study population. Mean central macular thickness was 242.9 ± 44.4 μm and 254.0 ± 22.8 μm, while mean disk RNFL thickness was 81.6 ± 12.4 μm and 98.4 ± 13.3 μm in high myopic and hyperopic patients, respectively. Valsalva maneuver was not associated with significant change in central macular or disk RNFL thickness. Conclusions Significant association of Valsalva maneuver with an increase in choroidal thickness was noted among patients with high degree of myopia and hyperopia. Our findings emphasize the likelihood of increase in choroidal volume due to venous distension to be responsible for the increase observed in choroidal thickness after Valsalva maneuver.


PLoS ONE ◽  
2019 ◽  
Vol 14 (10) ◽  
pp. e0222850 ◽  
Author(s):  
Nora Denk ◽  
Peter Maloca ◽  
Guido Steiner ◽  
Christian Freichel ◽  
Simon Bassett ◽  
...  

2019 ◽  
Vol 2019 ◽  
pp. 1-7
Author(s):  
Yeon Woong Chung ◽  
Moon Young Choi ◽  
Jung-sub Kim ◽  
Jin-woo Kwon

Purpose. To investigate the relationship between macular thickness and axial length (AL) in myopic eyes. Methods. We included 441 myopic eyes in this study and measured macular thickness at the fovea and in other macular regions, using optical coherence tomography. We got thickness difference indices (TDIs) which by definition are the values of thickness difference obtained by subtracting the foveal thickness from that of each macula sector to evaluate macular contour. We then analyzed the relationships between AL and foveal thickness and AL and the TDIs of each macular sector. Results. In polynomial regression analyses, foveal thickness slope was relatively flat up to an AL of 25.5 mm and began to rise from 25.5–26.0 mm. The TDIs were also relatively flat up to AL of 25.5mm and started to show steepened negative slopes from around AL of 25.5 mm. When grouping myopia participants as high myopia or non-high myopia based on AL of 25.5mm, all macular indices of the high myopia group showed significant correlation with AL (all p values <0.01). But all indices of non-high myopia group had no significant correlation with AL. Conclusions. Average macular thickness profiles showed that appreciable changes started at an AL of 25.5mm.


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