Purpose: To evaluate whether postural changes of intraocular pressure (IOP) are associated with visual field damage by comparing both eyes of patients with previously untreated normal-tension glaucoma (NTG).
Patients And Methods: Forty eyes of 20 patients newly diagnosed as bilateral NTG were studied. IOP was measured in both sitting and supine positions, and the magnitude of IOP elevation with postural change (ΔIOP) was calculated. Visual field was examined using Humphrey Field Analyzer, and the mean deviation (MD) value was obtained. By comparing ΔIOP between the 2 eyes of a patient, eyes were classified into either small or large ΔIOP group. The MD was compared between these 2 groups.
Results: The ΔIOP was 3.2 ± 1.9 mm Hg [mean ± standard deviation (SD)] and 4.5 ± 2.3 mm Hg in the small and large ΔIOP eyes, respectively. The MD in the large ΔIOP eyes [-8.9 ± 6.2 dB (mean ± SD)] was significantly worse than that in the small ΔIOP eyes (-5.9 ± 4.7 dB) (P<0.001).
Conclusions: More advanced visual field damage was observed in eyes with greater magnitude of IOP elevation with postural changes. IOP measurement in the supine position at the time of first diagnosis of NTG may facilitate the planning of treatment strategy.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1097/IJG.0b013e3181a98f30 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Clinical and Imaging Characteristics of Posterior Scleritis in Children.
Ocul Immunol Inflamm
January 2025
Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.
Background: Posterior scleritis (PS) is a rare phenotype of scleritis. Comprehensive epidemiological studies on PS in children are limited. We aimed to report on its clinical and imaging features in one of the largest pediatric series to date.
View Article and Find Full Text PDFNoninvasive Anemia Detection and Hemoglobin Estimation from Retinal Images Using Deep Learning: A Scalable Solution for Resource-Limited Settings.
Transl Vis Sci Technol
January 2025
School of Optometry and Vision Science, University of New South Wales, Sydney, Australia.
Purpose: The purpose of this study was to develop and validate a deep-learning model for noninvasive anemia detection, hemoglobin (Hb) level estimation, and identification of anemia-related retinal features using fundus images.
Methods: The dataset included 2265 participants aged 40 years and above from a population-based study in South India. The dataset included ocular and systemic clinical parameters, dilated retinal fundus images, and hematological data such as complete blood counts and Hb concentration levels.
Corneal Stromal Stem Cell-Derived Extracellular Vesicles Attenuate ANGPTL7 Expression in the Human Trabecular Meshwork.
Transl Vis Sci Technol
January 2025
Department of Ophthalmology, Stein Eye Institute, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Purpose: Regulating intraocular pressure (IOP), mainly via the trabecular meshwork (TM), is critical in developing glaucoma. Whereas current treatments aim to lower IOP, directly targeting the dysfunctional TM tissue for therapeutic intervention has proven challenging. In our study, we utilized Dexamethasone (Dex)-treated TM cells as a model to investigate how extracellular vesicles (EVs) from immortalized corneal stromal stem cells (imCSSCs) could influence ANGPTL7 and MYOC genes expression within TM cells.
View Article and Find Full Text PDFExplainable Deep Learning for Glaucomatous Visual Field Prediction: Artifact Correction Enhances Transformer Models.
Transl Vis Sci Technol
January 2025
Department of Biomedical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, Thailand.
Purpose: The purpose of this study was to develop a deep learning approach that restores artifact-laden optical coherence tomography (OCT) scans and predicts functional loss on the 24-2 Humphrey Visual Field (HVF) test.
Methods: This cross-sectional, retrospective study used 1674 visual field (VF)-OCT pairs from 951 eyes for training and 429 pairs from 345 eyes for testing. Peripapillary retinal nerve fiber layer (RNFL) thickness map artifacts were corrected using a generative diffusion model.
Clinical Characteristics and In Vivo Confocal Microscopic Study in Candida Keratitis.
Transl Vis Sci Technol
January 2025
Beijing Institute of Ophthalmology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Purpose: To clarify the clinical and imaging characteristics of Candida keratitis using in vivo confocal microscopy (IVCM) for improved early diagnosis and management.
Methods: A retrospective study of 40 patients with Candida keratitis at Beijing Tongren Hospital from January 2015 to December 2023 was conducted. Data included demographics, risk factors, clinical assessments, lab tests, and IVCM images.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!