This video demonstrates the novel "macaroni necklace" technique for removing a Xen gel stent. The technique allows for complete removal of the stent without the hydrated and soft pieces from tearing apart. In this case, the stent was the nidus for endophthalmitis, and complete removal is necessary for prevention of future infections.
View Article and Find Full Text PDFAm J Ophthalmol Case Rep
December 2024
Purpose: Acute idiopathic maculopathy (AIM) is a posterior segment disorder that involves the neurosensory retina, retinal pigment epithelium, and choroidal circulation. When first described, the disease was classified as unilateral, but subsequent reports have found bilateral presentations. There is growing evidence to suggest the coxsackie virus as the etiology, however, other pro-inflammatory conditions have also been temporally linked to fundoscopic findings.
View Article and Find Full Text PDFPurpose: To review the evidence on the effectiveness of dietary supplementation for retinitis pigmentosa (RP).
Methods: A literature search of the PubMed database was last conducted in January 2024 to identify published English-language original research on dietary supplementation for RP. Eligible compounds included products ingested orally containing nutrients intended to supplement the diet.
Purpose: To assess the safety and efficacy of the multiple therapeutic modalities for the treatment of central serous chorioretinopathy (CSCR).
Methods: A literature search of English-language studies in the PubMed database with no date restrictions was last conducted in May 2024. The combined searches yielded 612 citations, 31 of which were selected for full-text review and for inclusion in this assessment.
Purpose: To evaluate the response of type 1 and type 2 macular neovascularization (MNV) components under anti-vascular endothelial growth factor (VEGF) treatment in age-related macular degeneration (AMD) using projection-resolved optical coherence tomography angiography (PR-OCTA).
Methods: This retrospective study included eyes with treatment-naïve exudative AMD treated with anti-VEGF injections under a pro re nata (PRN) protocol over 1 year. Two-dimensional MNV areas and three-dimensional MNV volumes were derived from macular PR-OCTA scans using an automated convolutional neural network.
Purpose: To train and validate a convolutional neural network to segment nonperfusion areas (NPAs) in multiple retinal vascular plexuses on widefield optical coherence tomography angiography (OCTA).
Methods: This cross-sectional study included 202 participants with a full range of diabetic retinopathy (DR) severities (diabetes mellitus without retinopathy, mild to moderate non-proliferative DR, severe non-proliferative DR, and proliferative DR) and 39 healthy participants. Consecutive 6 × 6-mm OCTA scans at the central macula, optic disc, and temporal region in one eye from 202 participants in a clinical DR study were acquired with a 70-kHz OCT commercial system (RTVue-XR).
Purpose: To review the evidence on the effectiveness and complications of periocular and intraocular corticosteroid therapies for noninfectious uveitic macular edema.
Methods: A literature search of the PubMed database was conducted last in December 2021 and a post-assessment search was conducted in March 2023. The searches were limited to articles published in English and no date restrictions were imposed.
Purpose: This American Academy of Ophthalmology Ophthalmic Technology Assessment aims to assess the effectiveness of conventional teleretinal screening (TS) in detecting diabetic retinopathy (DR) and diabetic macular edema (DME).
Methods: A literature search of the PubMed database was conducted most recently in July 2023 to identify data published between 2006 and 2023 on any of the following elements related to TS effectiveness: (1) the accuracy of TS in detecting DR or DME compared with traditional ophthalmic screening with dilated fundus examination or 7-standard field Early Treatment Diabetic Retinopathy Study photography, (2) the impact of TS on DR screening compliance rates or other patient behaviors, and (3) cost-effectiveness and patient satisfaction of TS compared with traditional DR screening. Identified studies then were rated based on the Oxford Centre for Evidence-Based Medicine grading system.
Purpose: Microaneurysms (MAs) have distinct, oval-shaped, hyperreflective walls on structural OCT, and inconsistent flow signal in the lumen with OCT angiography (OCTA). Their relationship to regional macular edema in diabetic retinopathy (DR) has not been quantitatively explored.
Design: Retrospective, cross-sectional study.
Purpose: To assess whether the combination of OCT and OCT angiography (OCTA) can capture observable, but subtle, structural changes that precede clinically evident retinal neovascularization (RNV) in eyes with diabetic retinopathy (DR).
Design: Retrospective, longitudinal study.
Participants: Patients with DR that had at least 2 visits.
Retin Cases Brief Rep
September 2024
Purpose: The purpose of this study was to describe two cases of Cutibacterium acnes endophthalmitis that reinforce the importance of performing both bacterial culture and 16S polymerase chain reaction when the causative pathogen is unclear or difficult to culture, such as C. acnes . A case of C.
View Article and Find Full Text PDFPurpose: Microaneurysms (MAs) have distinct, oval-shaped, hyperreflective walls on structural OCT, and inconsistent flow signal in the lumen with OCT angiography (OCTA). Their relationship to regional macular edema in diabetic retinopathy (DR) has not been quantitatively explored.
Design: Retrospective, cross-sectional study.
IEEE Trans Biomed Eng
January 2024
Objective: Deep learning classifiers provide the most accurate means of automatically diagnosing diabetic retinopathy (DR) based on optical coherence tomography (OCT) and its angiography (OCTA). The power of these models is attributable in part to the inclusion of hidden layers that provide the complexity required to achieve a desired task. However, hidden layers also render algorithm outputs difficult to interpret.
View Article and Find Full Text PDFTo assess the diagnostic accuracy of automatically quantified macular fluid volume (MFV) for treatment-required diabetic macular edema (DME). : This retrospective cross-sectional study included eyes with DME. The commercial software on optical coherence tomography (OCT) produced the central subfield thickness (CST), and a custom deep-learning algorithm automatically segmented the fluid cysts and quantified the MFV from the volumetric scans of an OCT angiography system.
View Article and Find Full Text PDFPurpose: To assess the value of en face OCT for detecting clinically unsuspected retinal neovascularization (RNV) in patients with nonproliferative diabetic retinopathy (NPDR).
Design: A retrospective, cross-sectional study.
Participants: Treatment-naïve patients clinically graded as NPDR in an ongoing prospective observational OCT angiography (OCTA) study at a tertiary care center.
Purpose: To propose a deep-learning-based method to differentiate arteries from veins in montaged widefield OCT angiography (OCTA).
Design: Cross-sectional study.
Participants: A total of 232 participants, including 109 participants with diabetic retinopathy (DR), 64 participants with branch retinal vein occlusion (BRVO), 27 participants with diabetes but without DR, and 32 healthy participants.
Purpose: To describe a case of chronic myeloid leukemia with retinal leukemic infiltration identified by optical coherence tomography (OCT) and OCT angiography.
Methods: Case report.
Results: A 64-year-old man presented with bilateral painless blurred vision and three weeks of fatigue, unintentional weight loss, and complete hearing loss.
Purpose: The purpose of this study was to assess the associations between baseline choriocapillaris (CC) flow deficits and geographic atrophy (GA) progression.
Methods: In this prospective cohort study, patients with GA underwent 3 × 3-mm macular spectral-domain optical coherence tomographic angiography (OCTA) at baseline and follow-up visits. Annual GA enlargement rate was defined as change of square root of GA area in 12 months.
Purpose: In diabetic macular edema (DME), the correlation between visual acuity (VA) and central subfield thickness (CST) is weak. We hypothesize that fluid volume (FV) in the inner nuclear layer (INL) may correlate more strongly with VA.
Design: Retrospective, cross-sectional study.
Synopsis: A deep-learning-based macular extrafoveal avascular area (EAA) on a 6×6 mm optical coherence tomography (OCT) angiogram is less dependent on the signal strength and shadow artefacts, providing better diagnostic accuracy for diabetic retinopathy (DR) severity than the commercial software measured extrafoveal vessel density (EVD).
Aims: To compare a deep-learning-based EAA to commercial output EVD in the diagnostic accuracy of determining DR severity levels from 6×6 mm OCT angiography (OCTA) scans.
Methods: The 6×6 mm macular OCTA scans were acquired on one eye of each participant with a spectral-domain OCTA system.
Purpose: To review the evidence on the safety and efficacy of current anti-vascular endothelial growth factor (VEGF) and intravitreal corticosteroid pharmacotherapies for the treatment of diabetic macular edema (DME).
Methods: Literature searches were last conducted on May 13, 2020, in the PubMed database with no date restrictions and limited to articles published in English. The combined searches yielded 230 citations, of which 108 were reviewed in full text.
Importance: Diabetic macular edema (DME) is the predominant cause of visual impairment in patients with type 1 or 2 diabetes. Automated fluid volume measurements using optical coherence tomography (OCT) may improve the diagnostic accuracy of DME screening.
Objective: To assess the diagnostic accuracy of an automated central macular fluid volume (CMFV) quantification using OCT for DME.
Purpose: To examine the efficacy of a deep learning-based algorithm to quantify the nonperfusion area (NPA) on montaged widefield OCT angiography (OCTA) for assessment of diabetic retinopathy (DR) severity.
Design: Cross-sectional study.
Participants: One hundred thirty-seven participants with a full range of DR severity and 26 healthy participants.