Purpose: To describe vitreal, retinal, and choroidal features of eyes affected by Endogenous candida endophthalmitis (ECE) analyzed by spectral domain optical coherence tomography (SD-OCT) and to evaluate their clinical impact.
Methods: Medical records and SD-OCT images from eyes diagnosed with ECE at four retina and uveitis tertiary referral centers were retrospectively evaluated. Spectral domain optical coherence tomography images were analyzed to evaluate the structural changes occurring in the vitreous, the retina, and the choroid in areas involved by ECE. Baseline and final best-corrected visual acuity were correlated with SD-OCT findings.
Results: Fifteen eyes from nine patients were enrolled. Vitreous involvement (vitreous cells, posterior hyaloid thickening) was detected in 13/15 eyes. Peculiar hyper-reflective preretinal aggregates obscuring the underlying retina because of a shadowing effect ("rain-cloud" sign) were noticed in all eyes with vitreous involvement. Two patterns of retinal and choroidal findings were identified: the first (six eyes) confined within the inner retinal layers (Intraretinal Pattern), the second (nine eyes) involving both retina (full thickness) and choriocapillaris (Chorioretinal Pattern). None of the eyes showed both patterns. None of the eyes, regardless the pattern, showed choroidal thickening. Baseline best-corrected visual acuity was not associated with OCT pattern (P = 0.09). On the contrary, final best-corrected visual acuity was significantly higher in patients showing Intraretinal Pattern (∼20/25, 0.06 ± 0.08 LogMAR) than in subjects with Chorioretinal Pattern (∼20/50, 0.44 ± 0.30 LogMAR) (P = 0.01).
Conclusion: Endogenous candida endophthalmitis showed peculiar features on SD-OCT. Two distinct patterns of chorioretinal involvement influencing the final best-corrected visual acuity were identified. Spectral domain optical coherence tomography could be useful in the diagnosis, management, and outcome prediction in ECE.
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http://dx.doi.org/10.1097/IAE.0000000000001630 | DOI Listing |
Vision (Basel)
January 2025
Department of Ophthalmology, King George's Medical University, Lucknow 226003, India.
Objectives: The goal was to study the ellipsoid zone (EZ) as a structural biomarker for final visual outcomes after pharmacological intervention in center-involving diabetic macular edema (DME) and surgical intervention for full-thickness macular holes (FTMHs).
Methods: This was a tertiary care center-based retrospective study. After sample size calculations, data from 64 consecutive cases were collected, with subjects aged between 40 and 60 years.
Curr Eye Res
January 2025
Department of Ophthalmology, University Medical Center Goettingen, Goettingen, Germany.
Purpose: To validate the quantification of the prominent middle limiting membrane (PMLM) sign, a marker of mild-to-moderate acute ischemic damage on optical coherence tomography (OCT), by measuring middle limiting membrane (MLM) reflectivity in patients with central retinal vein occlusion (CRVO) and to investigate the prognostic impact of this measure.
Methods: Spectral Domain (SD)-OCT B-scans of 30 patients with CRVO, either sole CRVO or combined central retinal artery and vein occlusion (CCRAVO), were analyzed retrospectively and graded as PMLM present or absent. Normalized MLM reflectivity was calculated as a ratio of the maximum reflectivity within a MLM target layer and the average reflectivity of the retinal pigment epithelium (RPE).
Quant Imaging Med Surg
January 2025
Henan Key Laboratory of Imaging and Intelligent Processing, Information Engineering University, Zhengzhou, China.
Background: Photon-counting computed tomography (CT) is an advanced imaging technique that enables multi-energy imaging from a single scan. However, the limited photon count assigned to narrow energy bins leads to increased quantum noise in the reconstructed spectral images. To address this issue, leveraging the prior information in the spectral images is essential.
View Article and Find Full Text PDFMagn Reson Med
January 2025
Department of Radiology, Johns Hopkins University, Baltimore, Maryland, USA.
Purpose: To develop and evaluate a physics-driven, saturation contrast-aware, deep-learning-based framework for motion artifact correction in CEST MRI.
Methods: A neural network was designed to correct motion artifacts directly from a Z-spectrum frequency (Ω) domain rather than an image spatial domain. Motion artifacts were simulated by modeling 3D rigid-body motion and readout-related motion during k-space sampling.
BMC Ophthalmol
January 2025
Department of Ophthalmology, Children's Hospital of Fudan University, National Children's Medical Center, Wanyuan Road No.399, Shanghai, 201102, China.
Purpose: To evaluate the macular development in preterm infants with spontaneously regressed retinopathy of prematurity (ROP) utilizing handheld spectral domain optical coherence tomography (SD-OCT) during the early postnatal period.
Design: A cross-sectional observational study.
Methods: Using handheld SD-OCT, OCT images were acquired in non-sedated infants ages about 37 weeks(w) post-menstrual-age (PMA = gestational age in weeks + chronological age).
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