784,523 results match your criteria: "Eye & ENT Hospital.[Affiliation]"

Deciphering the dynamic single-cell transcriptional landscape in the ocular surface ectoderm differentiation system.

Life Med

October 2024

State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology Visual Science, Guangzhou 510060, China.

The ocular surface ectoderm (OSE) is essential for the development of the ocular surface, yet the molecular mechanisms driving its differentiation are not fully understood. In this study, we used single-cell transcriptomic analysis to explore the dynamic cellular trajectories and regulatory networks during the differentiation of embryonic stem cells (ESCs) into the OSE lineage. We identified nine distinct cell subpopulations undergoing differentiation along three main developmental branches: neural crest, neuroectodermal, and surface ectodermal lineages.

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Introduction: Marie-Unna hereditary hypotrichosis (MUHH) is an autosomal dominant disorder characterized by a specific pattern of hair loss. Initially described in 1925 by Marie-Unna in a German family spanning over seven generations, MUHH represents a previously unidentified form of congenital hypotrichosis. It typically presents as sparse hair at birth with a coarse texture, followed by regrowth during childhood then, finally, gradual hair loss at puberty, resembling pattern of androgenetic alopecia.

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To analyze the refractive accuracy of a novel swept-source optical coherence biometer (SS-OCT), that uses individual refractive indices to measure axial length, in short and long eyes implanted with monofocal intraocular lenses (IOLs). This retrospective comparative study considered eyes with short axial length (AL) (< 22.5 mm) or long AL (> 26 mm) bilaterally implanted with the Acrysof IQ monofocal IOL.

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A 65-year-old male patient presented to eye outpatient department of a zonal hospital in North Eastern India with complaints of diminution of vision for 1-year duration. On ocular examination, his unaided visual acuity was 6/36 right eye and 6/12 left eye. He was diagnosed as a case of immature senile cataract with nuclear sclerosis grade 2+ in the right eye and immature senile cataract with nuclear sclerosis grade 1+ in the left eye, with no other ocular or systemic findings.

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Purpose: Immunoglobulin G4-related disease (IgG4-RD) share clinical features with primary Sjögren's syndrome (pSS). This study aimed to identify altered serological parameters and potential biomarkers of IgG4-RD and pSS.

Methods: Forty IgG4-RD patients, 40 pSS patients, and 40 healthy controls (HC) were enrolled in this study.

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Purpose: We report a case of Eales disease in Inuit and reflect on advances in telemedicine and treatment of retinal disease since the first report of Eales' disease in Greenlandic Inuit was published.

Patients And Methods: A 41-year-old Inuit female complaining of blurred vision was referred to our eye department. There had been no sign of diabetic retinopathy during diabetic eye screening and the patient had been treated for tuberculosis in 2010.

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Purpose: This study aimed to report the ocular manifestations in individuals with coronavirus disease 2019 (COVID-19) and investigate any correlation between the occurrence of ocular symptoms and systemic symptoms.

Methods: A retrospective electronic survey was conducted among the general public in northern China from December 2022 through February 2023. Inclusion criteria for COVID-19 was confirmed testing positive via a polymerase chain reaction (PCR) test or testing positive for COVID-19 via an antigen kit.

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Background: The process of waking up from general anesthesia is still not well understood, and recovery issues such as delayed awakening, agitation, postoperative cognitive dysfunction, continue to be a challenge for anesthesiologists. Currently, the treatment of these complications is mainly achieved through the antagonistic action of specific drugs, but sometimes the antagonistic drugs are not as effective as they should be and can add to the financial burden of the patient. Acupuncture, a common treatment in Traditional Chinese Medicine, is widely used around surgery.

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Purpose: Central retinal artery occlusion, also known as an eye stroke, results in visual impairment and functional challenges. Our study objectives were to identify meaningful measures and factors that indicate or enable successful recovery after eye stroke and to determine optimal processes to support research, including exploring barriers and facilitators to successful research participation.

Methods: We used qualitative methods including the 5Ts Framework (target population identification, team composition, time considerations, tips to accommodate older adults, tools for inclusive enrollment of older adults) to provide a guide to the development of the semi-structured interviews and to help facilitate the research process such as the set-up of interviews.

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Metabolic Fingerprint of Dual Body Fluids Deciphers Diabetic Retinopathy.

Small

January 2025

Department of Ophthalmology, National Clinical Research Center for Eye Diseases, Shanghai Gene Therapy Center, Shanghai Key Laboratory of Ocular Fundus Disease, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200040, P. R. China.

Diabetic retinopathy (DR) is a microvascular complication of diabetes, affecting 34.6% of diabetes patients worldwide. Early detection and timely treatment can effectively improve the prognosis of DR.

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More than meets the eye: predicting adrenocortical carcinoma outcomes with pathomics.

Eur J Endocrinol

January 2025

Department of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, Guangdong, PR China.

Background: Adrenocortical carcinoma (ACC) is a rare, aggressive malignancy with high recurrence rates and poor prognosis. Current prognostic models are inadequate, highlighting the need for innovative diagnostic tools. Pathomics, which utilizes computer algorithms to analyze whole-slide images, offers a promising approach to enhance prognostic models for ACC.

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Retrobulbar Infiltrative Lipoma in a Dog.

Vet Ophthalmol

January 2025

Department of Veterinary Clinical Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, Louisiana, USA.

A 6-year-old castrated male mixed breed dog presented to the "Louisiana State University Veterinary Teaching Hospital &-anonymized for review" ophthalmology service with marked exophthalmos and lagophthalmos of the left eye and soft tissue swelling medial to the zygomatic arch. A computed tomography (CT) scan was performed, and it revealed a well-marginated, lobulated, homogenously fat density involving the retrobulbar space. Preliminary results of a fine-needle aspirate (FNA) and biopsy were not conclusive, and a modified transfrontal orbitotomy was performed to remove the mass.

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Double extraocular muscle avulsion following injury by goat's horn.

Strabismus

January 2025

Department of Pediatric Ophthalmology, Strabismus and Neuro-Ophthalmology, Shroff's Charity Eye Hospital, New Delhi, India.

: Trauma to extraocular muscle without globe perforation is rare. This case report describes the clinical features and principles of repair of the simultaneous injury to two extraocular muscles sustained from a goat's horn. : Case records of the 36-year-old man who suffered trauma to his left eye were reviewed.

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Vision impairment in boys recruited to the iREAD study.

Isr J Health Policy Res

January 2025

Department of Optometry, Hadassah Academic College, 9101001, Jerusalem, Israel.

Background: Uncorrected refractive error is reported to be the most common cause globally of vision impairment in school age children. However, little is known about the extent of uncorrected refractive error in Israel. The purpose of this study was to investigate the prevalence of vision impairment in schoolchildren recruited for the Israel Refraction, Environment, And Devices (iREAD) Study.

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Background: The aim of the study was to investigate the quantitative differences between severe stage 3 and stage 4A retinopathy of prematurity (ROP) by evaluating the pre-treatment fundus photographs.

Methods: Thirty-three eyes with clinical diagnosed as severe stage 3 were classified as severe stage 3 group. Twenty-two eyes with retinal detachment without foveal involvement were classified as stage 4A group.

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Background: To compare structural and vascular parameters between advanced pseudoexfoliation glaucoma (PXG) and primary open-angle glaucoma (POAG).

Methods: One hundred and six eyes of 81 patients were enrolled in this cross-sectional study. All patients underwent complete ophthalmic examination and measurement of the thickness of the peripapillary retinal nerve fiber layer (RNFL) and ganglion cell complex (GCC).

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Background: Fungal keratitis can develop after plant injury or after prolonged glucocorticoid use. Typical manifestations include corneal infiltrates, satellite lesions, plaques, and an immune ring. Some cases exhibit atypical signs, requiring reliance on etiological examination.

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Magnetic resonance imaging (MRI) is frequently used to monitor disease progression in multiple sclerosis (MS). This study aims to systematically evaluate the correlation between MRI measures and histopathological changes, including demyelination, axonal loss, and gliosis, in the central nervous system of MS patients. We systematically reviewed post-mortem histological studies evaluating myelin density, axonal loss, and gliosis using quantitative imaging in MS.

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In Vivo Confocal Microscopy for Automated Detection of Meibomian Gland Dysfunction: A Study Based on Deep Convolutional Neural Networks.

J Imaging Inform Med

January 2025

Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Disease, Shanghai, 200080, China.

The objectives of this study are to construct a deep convolutional neural network (DCNN) model to diagnose and classify meibomian gland dysfunction (MGD) based on the in vivo confocal microscope (IVCM) images and to evaluate the performance of the DCNN model and its auxiliary significance for clinical diagnosis and treatment. We extracted 6643 IVCM images from the three hospitals' IVCM database as the training set for the DCNN model and 1661 IVCM images from the other two hospitals' IVCM database as the test set to examine the performance of the model. Construction of the DCNN model was performed using DenseNet-169.

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Multi-class Classification of Retinal Eye Diseases from Ophthalmoscopy Images Using Transfer Learning-Based Vision Transformers.

J Imaging Inform Med

January 2025

College of Engineering, Department of Computer Engineering, Koç University, Rumelifeneri Yolu, 34450, Sarıyer, Istanbul, Turkey.

This study explores a transfer learning approach with vision transformers (ViTs) and convolutional neural networks (CNNs) for classifying retinal diseases, specifically diabetic retinopathy, glaucoma, and cataracts, from ophthalmoscopy images. Using a balanced subset of 4217 images and ophthalmology-specific pretrained ViT backbones, this method demonstrates significant improvements in classification accuracy, offering potential for broader applications in medical imaging. Glaucoma, diabetic retinopathy, and cataracts are common eye diseases that can cause vision loss if not treated.

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Direction selectivity is a fundamental feature in the visual system. In the retina, direction selectivity is independently computed by ON and OFF circuits. However, the advantages of extracting directional information from these two independent circuits are unclear.

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Background: To establish an objective method for assessing plus disease severity in retinopathy of prematurity.

Methods: Six images of plus diseases that were color-coded according to severity and published in the International Classification of Retinopathy of Prematurity, Third Edition (ICROP3) were analyzed. These images were individually processed, and the best-fit curve and vessel course in zone I were obtained using ImageJ software.

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