scholarly journals Retinal Vessel Functionality Is Linked With ARMS2 A69S and CFH Y402H Polymorphisms and Choroidal Status in AMD Patients

2021 ◽  
Vol 62 (4) ◽  
pp. 30
Author(s):  
Elzbieta Krytkowska ◽  
Zofia Ulanczyk ◽  
Aleksandra Grabowicz ◽  
Katarzyna Mozolewska-Piotrowska ◽  
Krzysztof Safranow ◽  
...  
Keyword(s):  
Retinal Vessel ◽  
Arms2 A69s

Clinical case of avulsed retinal vessel syndrome

2019 ◽  
pp. 402-405
Author(s):  
I.E. Ianilkina ◽  
◽  
P.L. Volodin ◽  
E.A. Tolstukhina ◽  
L.A. Kryl ◽  
...  
Keyword(s):  
Clinical Case ◽  
Retinal Vessel

Hallazgos oftalmológicos en enfermedad de Fabry: relación de su severidad en una familia mexicana

2019 ◽  
Vol 1 (1) ◽  
pp. 43-49
Author(s):  
Araceli Borja Borja ◽  
Gabriela Salas Pérez ◽  
Pablo Radillo Díaz
Keyword(s):  
Premature Mortality ◽  
Retinal Vessel ◽  
Multiple Organ ◽  
High Morbidity ◽  
Lysosomal Storage ◽  
Enzyme Replacement ◽  
Non Invasive ◽  
High Incidence ◽  
Cornea Verticillata ◽  
Gla Gene

Introduction. Fabry disease (FD) is a lysosomal storage disorder associated with multiple organ dysfunction which eventually leads to high morbidity and premature mortality. Ophthalmologic findings in FD are very common and have been described extensively. We describe the ophthalmologic findings of a family diagnosed with FD at Hospital de Especialidades de Puebla and establish their relationship with other phenotypic findings. Cases Presentation. A renal, cardiac, audiological, neurological, and ophthalmologic evaluation was carried out. The disease was confirmed by GLA gene sequencing. The ophthalmologic assessment was focused on the changes described in the literature, as well as the search for other anomalies possibly related to the disease. All the patients had the c.260delA (P.Glu87Glyfs*34) mutation in the GLA gene. The main ophthalmologic finding in our patients was cornea verticillata (in 100 % of the female patients). Other ophthalmologic manifestations were dry eye, retinal vessel tortuosity, ametropia, chromatic vision disorders, ocular annexes, eyelids, and conjuntiva disorders. Conclusions. Most of the assessed patients showed ophthalmologic changes, consistent with the results described in the literature. A remarkable finding in the sample was the high incidence of changes in women, in whom one would not expect the disease to be as severe because they are heterozygous. Ophthalmologic abnormalities in FD require deeper evaluation to establish their possible use as markers of disease progression and/or enzyme replacement therapy initiation due to the benefit of the non-invasive nature of ophthalmologic evaluations.

scholarly journals Retinal Vessel Segmentation by Deep Residual Learning with Wide Activation

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Yuliang Ma ◽  
Xue Li ◽  
Xiaopeng Duan ◽  
Yun Peng ◽  
Yingchun Zhang
Keyword(s):  
Blood Vessel ◽  
Blood Vessels ◽  
Area Under The Curve ◽  
Retinal Vessel ◽  
Vessel Segmentation ◽  
Superior Performance ◽  
Retinal Blood Vessel ◽  
Low Contrast ◽  
Blood Vessel Segmentation ◽  
Small Vessels

Purpose. Retinal blood vessel image segmentation is an important step in ophthalmological analysis. However, it is difficult to segment small vessels accurately because of low contrast and complex feature information of blood vessels. The objective of this study is to develop an improved retinal blood vessel segmentation structure (WA-Net) to overcome these challenges. Methods. This paper mainly focuses on the width of deep learning. The channels of the ResNet block were broadened to propagate more low-level features, and the identity mapping pathway was slimmed to maintain parameter complexity. A residual atrous spatial pyramid module was used to capture the retinal vessels at various scales. We applied weight normalization to eliminate the impacts of the mini-batch and improve segmentation accuracy. The experiments were performed on the DRIVE and STARE datasets. To show the generalizability of WA-Net, we performed cross-training between datasets. Results. The global accuracy and specificity within datasets were 95.66% and 96.45% and 98.13% and 98.71%, respectively. The accuracy and area under the curve of the interdataset diverged only by 1%∼2% compared with the performance of the corresponding intradataset. Conclusion. All the results show that WA-Net extracts more detailed blood vessels and shows superior performance on retinal blood vessel segmentation tasks.

scholarly journals Reduced retinal vessel density in COVID-19 patients and elevated D-dimer levels during the acute phase of the infection

2021 ◽  
Author(s):  
Noemi Guemes-Villahoz ◽  
Barbara Burgos-Blasco ◽  
Beatriz Vidal-Villegas ◽  
Juan Donate-López ◽  
Francisco Javier Martín-Sánchez ◽  
...  
Keyword(s):  
Acute Phase ◽  
Retinal Vessel ◽  
Vessel Density ◽  
Retinal Vessel Density ◽  
D Dimer

Improvement of thin retinal vessel extraction using mean matting method

2021 ◽  
Author(s):  
V. Sathananthavathi ◽  
G. Indumathi ◽  
Rita Mahiya ◽  
S. Priyadarshini
Keyword(s):  
Retinal Vessel ◽  
Vessel Extraction

Albuminuria and retinal vessel density in diabetes without diabetic retinopathy: the Kailuan Eye Study

2020 ◽  
Author(s):  
Qian Wang ◽  
Lili Liu ◽  
Jost B. Jonas ◽  
Bixia Gao ◽  
Shou Ling Wu ◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Retinal Vessel ◽  
Vessel Density ◽  
Retinal Vessel Density

scholarly journals Reduced retinal vessel density in COVID-19 patients and elevated D-dimer levels during the acute phase of the infection

2021 ◽  
Vol 156 (11) ◽  
pp. 541-546
Author(s):  
Noemi Guemes-Villahoz ◽  
Barbara Burgos-Blasco ◽  
Beatriz Vidal-Villegas ◽  
Juan Donate-López ◽  
Francisco Javier Martín-Sánchez ◽  
...  
Keyword(s):  
Acute Phase ◽  
Retinal Vessel ◽  
Vessel Density ◽  
Retinal Vessel Density ◽  
D Dimer
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