Purpose: To evaluate using optical coherence tomography angiography the macular and optic nerve head blood flow in pediatric patients with epilepsy treated with levetiracetam for at least 12 months.
Methods: This study included 33 pediatric patients with epilepsy and 30 sex- and age-matched healthy volunteer children were included in the study. Optical coherence tomography angiography was used to evaluate the optic nerve head and macular perfusion changes. The mean ocular perfusion pressures were also calculated. Patients who were using multiple antiepileptic drugs or had a prior history of using different drugs were excluded.
Results: The choriocapillaris flow area was significantly lower in the Study Group than in the Control Group (p=0.006). However, the foveal avascular zone and vessel densities of the macula in the superficial capillary plexus, deep capillary plexus, and optic nerve head of the study group were not significantly different from those of the control group (p>0.05). Moreover, no significant difference in means of mean ocular perfusion pressure was found between the two groups (p=0.211). No obvious correlation was found between treatment duration and optical coherence tomography angiography parameters or mean ocular perfusion pressure.
Conclusion: Choroidal perfusion was reduced in children taking levetiracetam compared with that in the control group, whereas retinal perfusion was not affected in this optical coherence tomography angiography study.
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http://dx.doi.org/10.5935/0004-2749.2022-0269 | DOI Listing |
Transl Vis Sci Technol
January 2025
Department of Ophthalmology, University Hospital Bonn, Bonn, Germany.
Purpose: To compare a novel high-resolution optical coherence tomography (OCT) with improved axial resolution (High-Res OCT) with conventional spectral-domain OCT (SD-OCT) with regard to their capacity to characterize the disorganization of the retinal inner layers (DRIL) in diabetic maculopathy.
Methods: Diabetic patients underwent multimodal retinal imaging (SD-OCT, High-Res OCT, and color fundus photography). Best-corrected visual acuity and diabetes characteristics were recorded.
Invest Ophthalmol Vis Sci
January 2025
Department of Surgical Sciences, Eye Clinic Section, University of Turin, Turin, Italy.
Purpose: This study aimed to comprehensively assess visual performance in eyes with idiopathic epiretinal membrane (iERM). Additionally, it sought to explore the associations between optical coherence tomography (OCT) imaging biomarkers and visual performance in patients with iERM.
Methods: In this prospective, non-interventional study, 57 participants with treatment-naïve iERM from the University of Turin, between September 2023 and March 2024 were enrolled.
Nano Lett
January 2025
NanoPhotonics Centre, Cavendish Laboratory, Department of Physics, University of Cambridge, Cambridge CB3 0HE, United Kingdom.
Metal nanocrystals synthesized in achiral environments usually exhibit no chiroptical effects. However, by placing nominally achiral nanocrystals 1.3 nm above gold films, we find giant chiroptical effects, reaching anisotropy factors as high as ≈ 0.
View Article and Find Full Text PDFAm J Ophthalmol Case Rep
March 2025
Department of Ophthalmology, Stanley M. Truhlsen Eye Institute, University of Nebraska Medical Center, Omaha, NE, USA.
Purpose: To describe a rare case of presumed bilateral acute idiopathic maculopathy (AIM) in a pediatric patient.
Observation: An 11-year-old male was evaluated for a "fuzzy Dorito-shaped" spot in the central vision of his right eye (OD) that started 3 days before presenting to our clinic. On examination, best-corrected visual acuity (BCVA) was counting fingers at 5 feet OD, and 20/25 in the left eye (OS).
Taiwan J Ophthalmol
November 2024
Sirindhorn International Institute of Technology, Thammasat University, Bangkok, Thailand.
Recent advances of artificial intelligence (AI) in retinal imaging found its application in two major categories: discriminative and generative AI. For discriminative tasks, conventional convolutional neural networks (CNNs) are still major AI techniques. Vision transformers (ViT), inspired by the transformer architecture in natural language processing, has emerged as useful techniques for discriminating retinal images.
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