Circadian Changes in Subfoveal Choroidal Thickness and the Relationship with Circulatory Factors in Healthy Subjects

2012 ◽  
Vol 53 (4) ◽  
pp. 2300 ◽  
Author(s):  
Shinichi Usui ◽  
Yasushi Ikuno ◽  
Masahiro Akiba ◽  
Ichiro Maruko ◽  
Tetsuju Sekiryu ◽  
...  
2017 ◽  
Vol 1 (1) ◽  
pp. oapoc.0000013
Author(s):  
Rocio Blanco-Garavito ◽  
Polina Astroz ◽  
Salomon Yves Cohen ◽  
Eric H. Souied

Purpose To investigate the influence of at least 12 hours of fasting followed by acute water ingestion on macular choroidal thickness in eyes of healthy subjects. Methods Prospective case series study including healthy volunteers from April 1, 2015 to May 31, 2015. Macular choroidal thickness was measured on enhanced depth imaging optical coherence tomography (EDI-OCT) and on swept-source (SS)-OCT after 12 hours of fasting, and 60 minutes after acute water ingestion (750 mL in 5 minutes). Results A total of 52 eyes of 26 healthy volunteers were included in this study. The mean age for participants was 32 years old. After 12 hours of fasting, the mean (±SD) subfoveal choroidal thickness was 335.43 (±104.82) μm on EDI-OCT and 286.16 (±80.32) μm on SS-OCT. The mean (±SD) subfoveal choroidal thickness after acute water intake was 352.32 (±120.36) μm and 290.5 (±85.86) μm, respectively. There was no significant difference between the mean subfoveal thickness at baseline and 60 minutes after acute water ingestion for any of the choroidal imaging techniques (p = 0.1386 for EDI-OCT and p = 0.0659 for SS-OCT). Conclusions These results suggest that choroidal circulation can physiologically quickly adapt to systemic vascular changes in healthy eyes. Choroidal thickness did not depend upon the hydration status for the subjects participating in this study.


2016 ◽  
Vol 25 (7) ◽  
pp. 613-617 ◽  
Author(s):  
Gökhan Pekel ◽  
Semra Acer ◽  
Ramazan Yağci ◽  
Seyfullah Özdemir ◽  
Hüseyin Kaya ◽  
...  

2021 ◽  
Vol 26 (4) ◽  
pp. 519-525
Author(s):  
Kamil Yavuzer ◽  
Banu Bozkurt ◽  
Banu Turgut Ozturk ◽  
Suleyman Okudan

2017 ◽  
Vol 27 (6) ◽  
pp. 730-734 ◽  
Author(s):  
Marine Fontaine ◽  
David Gaucher ◽  
Arnaud Sauer ◽  
Claude Speeg-Schatz

Purpose To determine the relationship of subfoveal choroidal thickness (ChT), refraction, and axial length in children, and evaluate the evolution of subfoveal ChT with time in myopic versus nonmyopic eyes. Methods A total of 229 eyes of 115 children aged 2 to 16 years were included in the study. Refraction under cycloplegia, axial length, and subfoveal ChT were measured at baseline with comparative investigations at 15 months follow-up. Results The probability for the subfoveal ChT to be thinner in myopic children compared to nonmyopic children was 0.9999. We found a relation between subfoveal ChT and axial length. At 15 months follow-up, subfoveal ChT was found to have increased in the nonmyopic eyes, but decreased in myopic patients. Conclusions A number of studies have already shown the choroid to play an important role in the process of emmetropization. We found that ChT had a different evolution in myopic children compared to nonmyopic children. A thinner choroid may predict the onset, or progression, of myopia. Further studies, with longer follow-up, are necessary to confirm this hypothesis.


2020 ◽  
pp. 112067212098289
Author(s):  
Ceylan Uslu Dogan ◽  
Damla Culha

Objective: Regarding the effect of obesity on subfoveal choroidal thickness (CT) and peripapillary retinal nerve fiber layer (RNFL) thickness, controversial results have been reported in different patient groups. This study aimed to evaluate the effect of obesity on these parameters among young male subjects in comparison with age-matched non-obese healthy males. Methods: This prospective, cross-sectional study included both eyes of 50 obese young males and 50 healthy non-obese young males. The obese and the non-obese groups included subjects with a BMI of ⩾30 and ⩽25 kg/m², respectively. Subfoveal choroidal thickness and RNFL analyses were conducted by spectral domain optical coherence tomography (SD-OCT). Results: Subfoveal choroidal thickness (321.0 ± 46.7 vs 338.4±35.3, p = 0.002) and RNFL thickness at temporal quadrant (73.4 ± 9.9 vs 76.4 ± 9.3, p = 0.008) was significantly lower in the obese group when compared to the non-obese group. The groups did not differ regarding peripapillary RNFL thickness at other quadrants (superior, inferior, or nasal) or regarding mean peripapillary RNFL thickness. Conclusion: Findings of this study demonstrated a negative correlation of obesity with subfoveal choroidal thickness and temporal quadrant peripapillary RNFL thickness. Larger studies on different patient groups with longer-term follow-up are warranted to better elucidate the ophthalmological effects of obesity.


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.


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