Aim: To investigate the characteristics of postoperative central visual field defect (cVFD) in patients with macular hole (MH).
Methods: Eighteen eyes from 18 MH patients were involved in this retrospective study which reviewed square root of loss variance (sLV) and mean defect (MD) of the visual field test in all subjects. The relationship between cVFD and MH stage, as well as the postoperative ellipsoid zone disruption were evaluated using Spearman's correlation test.
Results: Our analysis determined Spearman coefficient is 0.705 for the correlation between sLV and MH stage (<0.01), 0.877 for the correlation between sLV and postoperative ellipsoid zone disruption (<0.01) and 0.721 for the correlation between MD and postoperative ellipsoid zone disruption (<0.01). A significant relationship was also detected between postoperative ellipsoid zone disruption and MH stage (=0.470, <0.05). Univariate regression analysis indicated that sLV and MD were associated with postoperative ellipsoid zone disruption (<0.01, <0.01, respectively).
Conclusion: Postoperative cVFD is highly correlated with MH stage and postoperative ellipsoid zone disruption in patients with MH.
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http://dx.doi.org/10.18240/ijo.2019.03.16 | DOI Listing |
BMC Ophthalmol
December 2024
Vitreoretina Department National Eye Center Cicendo Eye Hospital, Bandung, Indonesia.
Purpose: To evaluate early response of retinal sensitivity (RS) and retinal morphology in diabetic macular edema (DME) patients after intravitreal anti-vascular endothelial growth factor (anti-VEGF) treatment.
Methods: Sixteen eyes of 12 DME patients were included in this study conducted prospectively. All eyes underwent functional and morphologic examination of the macular area using microperimetry and optical coherence tomography (OCT) before and after intravitreal anti-VEGF injection.
Graefes Arch Clin Exp Ophthalmol
December 2024
Department of Ophthalmology, Cathay General Hospital, 280, Section 4, Ren-Ai Rd, Taipei, Taiwan, 106.
Purpose: To investigate the relationship between the characteristics of optic disc rotation and visual field (VF) progression in patients with myopic open-angle glaucoma (OAG).
Methods: We included 53 eyes from 53 myopic OAG patients who were followed-up over a 3-year period. The characteristics of optic disc rotation including the degree of optic disc rotation, direction of optic disc rotation, and optic disc rotation-VF defect correspondence were investigated.
Sci Rep
December 2024
Bascom Palmer Eye Institute, University of Miami, 900 NW 17th St, Miami, FL, USA.
This study assessed the impact of race and ethnicity on longitudinal test variability and time to detect glaucoma progression using standard automated perimetry (SAP) and optical coherence tomography (OCT). The sample consisted of 47,003 SAP tests from 5402 eyes and 25,480 OCT tests from 4125 eyes, with 20% of participants self-identifying as Black or African American and 80% as White; 29% as Hispanic or Latino and 71% as Not Hispanic or Latino. Variability was measured using standard deviations of residuals from linear regression models for SAP mean deviation (MD) and OCT retinal nerve fiber layer (RNFL) thickness over time.
View Article and Find Full Text PDFSci Rep
December 2024
Neurology, Icahn School of Medicine at Mount Sinai, New York, USA.
We used machine learning to investigate the residual visual field (VF) deficits and macula retinal ganglion cell (RGC) thickness loss patterns in recovered optic neuritis (ON). We applied archetypal analysis (AA) to 377 same-day pairings of 10-2 VF and optical coherence tomography (OCT) macula images from 93 ON eyes and 70 normal fellow eyes ≥ 90 days after acute ON. We correlated archetype (AT) weights (total weight = 100%) of VFs and total retinal thickness (TRT), inner retinal thickness (IRT), and macular ganglion cell-inner plexiform layer (GCIPL) thickness.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Interior Architecture Design, Hanyang University, Seoul, Korea.
In a field traditionally driven by intuition and subjective judgment, this study presents a data-driven approach to typography, the art of arranging text. Leveraging a comprehensive dataset of font-use cases across diverse mediums, we employed Non-negative Matrix Factorization to extract three fundamental morphological characteristics of fonts: Serif vs. Sans-Serif, Basic vs.
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