Purpose: This study aimed to investigate the association between variants in the interleukin (IL)-1 gene cluster and susceptibility to keratoconus (KC) in an Iranian population.
Methods: In the case group, there were 188 KC patients diagnosed by clinical findings and corneal tomography. The control group included all 205 healthy controls with no personal or family history of eye-related, metabolic, or immune system-related disease.
Intraoperative OCT (iOCT) is an innovative imaging modality that provides ophthalmic surgeons with real-time cross-sectional views of the surgical field. Recent advances in OCT technology, such as higher acquisition scanning rates, enable real-time video visualization. iOCT systems are widely used in both vitreoretinal and anterior segment surgeries.
View Article and Find Full Text PDFIntroduction: Our aim was to evaluate the visual and refractive outcomes of iris-fixated phakic toric intraocular lenses (IOLs) for visual rehabilitation in eyes with stable corneal ectasia.
Methods: We conducted a study looking at the clinical outcomes of iris-fixated toric IOLs (Artisan) in 33 eyes of 27 patients diagnosed with mild-to-moderate corneal ectasia at a single center (Queen Victoria Hospital, East Grinstead, UK). The main outcome measures were functional improvement [accuracy of post-operative spherical equivalent (SE), astigmatic correction, topographic parameters, uncorrected and corrected distance visual acuity (UCVA, CDVA)] and safety of the procedure: endothelial cell count and intra- and post-operative complications.
Purpose: To investigate the clinical outcomes of micropulse transscleral laser therapy (MP-TLT) in a cohort of glaucoma patients, including safety profile, post-operative transient intraocular pressure (IOP) spikes, long-term efficacy and prognostic factors in terms of IOP-lowering.
Methods: This was a retrospective observational cohort study. Medical records of all patients who consecutively underwent MP-TLT between May 2019 and February 2023 at a tertiary referral centre were scrutinised and relevant data were retrospectively analysed.
Over the past decade, artificial intelligence (AI) and its subfields, deep learning and machine learning, have become integral parts of ophthalmology, particularly in the field of ophthalmic imaging. A diverse array of algorithms has emerged to facilitate the automated diagnosis of numerous medical and surgical retinal conditions. The development of these algorithms necessitates extensive training using large datasets of retinal images.
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