1. Articles from Linda M. Zangwill

    1-24 of 62 1 2 3 »
    1. Association of macular OCT and OCTA parameters with visual acuity in glaucoma

      Association of macular OCT and OCTA parameters with visual acuity in glaucoma

      Background/aims: To investigate the association of macular optical coherence tomography (OCT)/OCT angiography (OCTA) parameters with visual acuity (VA) in glaucoma. Methods: 144 pseudophakic primary open-angle glaucoma eyes were included. Foveal (fVD), parafoveal (pf), perifoveal (perifVD) and whole-image vessel densities (wiVD) of superficial and deep layers, and their corresponding ganglion cell complex (GCC) thicknesses were obtained from OCTA 6×6 mm 2 macula scans. Foveal avascular zone (FAZ) area, FAZ circumference and foveal density-300 (FD300) were measured. Correlation between OCT/OCTA parameters and Logarithm of the Minimum Angle of Resolution VA (logMAR VA) in early and moderate-advanced glaucoma was ...

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      Mentions: UCSD
    2. Frequency of Optical Coherence Tomography Testing to Detect Progression in Glaucoma

      Frequency of Optical Coherence Tomography Testing to Detect Progression in Glaucoma

      Purpose: To investigate the time to detect progression in glaucomatous eyes using different optical coherence tomography (OCT) test intervals. Methods: Participants with manifest glaucoma from the African Descent and Glaucoma Evaluation Study (ADAGES), a multicenter, prospective, observational cohort study, were included. A total of 2,699 OCT tests from 171 glaucomatous and 149 normal eyes of 182 participants, with at least 5 tests and 2 years of follow-up, were analyzed. Computer simulations (n=10,000 eyes) were performed to estimate time to detect progression of global circumpapillary retinal nerve fiber layer thickness (cpRNFL) measured with OCT tests. Simulations were based ...

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    3. Factors associated with choroidal microvascular dropout change

      Factors associated with choroidal microvascular dropout change

      Background/aims To investigate the factors associated with choroidal microvasculature drop-out (MvD) enlargement detected by optical coherence tomography angiography (OCT-A) in glaucomatous eyes. Methods Ninety-one eyes of 68 primary open-angle glaucoma patients were enrolled. Only eyes with a minimum of four good quality OCT-A and OCT scans of the optic nerve head acquired at least and with a minimum of 2 years follow-up were included. Area and angular circumference of MvD were analysed on en face images. Univariable and multivariable mixed effects models were constructed to identify the factors contributing to MvD area and angular circumference change over time. Results ...

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      Mentions: UCSD
    4. Comparison of Optic Disc Ovality Index and Rotation Angle Measurements in Myopic Eyes Using Photography and OCT Based Techniques

      Comparison of Optic Disc Ovality Index and Rotation Angle Measurements in Myopic Eyes Using Photography and OCT Based Techniques

      Purpose: To compare optic nerve head (ONH) ovality index and rotation angle measurements based on semi-automated delineation of the clinical ONH margin derived from photographs and automated BMO configuration derived from optical coherence tomography (OCT) images in healthy and glaucomatous eyes with high-, mild- and no axial myopia. Methods: One hundred seventy-five healthy and glaucomatous eyes of 146 study participants enrolled in the Diagnostic Innovations in Glaucoma Study (DIGS) with optic disc photographs and Spectralis OCT ONH scans acquired on the same day were stratified by level of axial myopia (non-myopic [ n = 56, axial length (AL) <24 mm], mild-myopic [ n ...

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    5. Diagnostic accuracy of macular thickness map and texture en-face images for detecting glaucoma in eyes with axial high myopia

      Diagnostic accuracy of macular thickness map and texture en-face images for detecting glaucoma in eyes with axial high myopia

      To evaluate the diagnostic accuracy of a novel optical coherence tomography (OCT) texture-based en-face image analysis, called SALSA-Texture, that requires segmentation of only one retinal layer for glaucoma detection in eyes with axial high myopia, and to compare to standard macular ganglion cell-inner plexiform layer (GCIPL) thickness, macular retinal nerve fiber layer (mRNFL) thickness, and ganglion cell complex (GCC) thickness maps.

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      Mentions: UCSD
    6. OCT Angiography Face Mask-associated Artifacts During the COVID-19 Pandemic

      OCT Angiography Face Mask-associated Artifacts During the COVID-19 Pandemic

      Prcis: Face mask wearing has no significant effects on artifacts or vessel density measurements in optic nerve head and macular OCT-Angiography scans. Purpose: To assess the difference in area of artifacts observed in optical coherence tomography angiography (OCT-A) scans with and without face mask wear and to verify if mask wear interferes with OCT-A vessel density measurements. Subjects and controls: 64 eyes of 10 healthy subjects, 4 ocular hypertensive, 8 glaucoma suspects, and 17 glaucoma patients were included. Methods: High density optic nerve head (ONH) and macula OCT-A scans were obtained in patients with and without surgical masks. Seven different ...

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      Mentions: UCSD
    7. Association of Initial Optical Coherence Tomography Angiography Vessel Density Loss With Faster Visual Field Loss in Glaucoma

      Association of Initial Optical Coherence Tomography Angiography Vessel Density Loss With Faster Visual Field Loss in Glaucoma

      Importance: Rapid vessel density loss during an initial follow-up period may be associated with the rates of visual field loss over time. Objectives: To evaluate the association between the rate of vessel density loss during initial follow-up and the rate of visual field loss during an extended follow-up period in patients suspected of having glaucoma and patients with primary open-angle glaucoma. Design, setting, and participants: This retrospective cohort study assessed 124 eyes (86 with primary open-angle glaucoma and 38 suspected of having glaucoma) of 82 patients who were followed up at a tertiary glaucoma center for a mean of 4 ...

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      Mentions: UCSD
    8. Relationship of macular ganglion cell complex thickness to choroidal microvasculature drop-out in primary open-angle glaucoma

      Relationship of macular ganglion cell complex thickness to choroidal microvasculature drop-out in primary open-angle glaucoma

      Background/aims To investigate the rate of ganglion cell complex (GCC) thinning in primary open-angle glaucoma (POAG) patients with and without deep-layer microvasculature drop-out (MvD). Methods POAG patients who had at least 1.5 years of follow-up and a minimum of three visits were included from the Diagnostic Innovations in Glaucoma Study. MvD was detected at baseline by optical coherence tomography angiography (OCT-A). Area and angular circumference of MvD were evaluated on en face choroidal vessel density images and horizontal B-scans. Rates of global and hemisphere GCC thinning were compared in MvD and non-MvD eyes using linear mixed-effects models. Results ...

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      Mentions: UCSD
    9. Deep learning image analysis of optical coherence tomography angiography measured vessel density improves classification of healthy and glaucoma eyes

      Deep learning image analysis of optical coherence tomography angiography measured vessel density improves classification of healthy and glaucoma eyes

      Purpose : To compare convolutional neural network (CNN) analysis of en face vessel density images to gradient boosting classifier (GBC) analysis of instrument provided, feature-based optical coherence tomography angiography (OCTA) vessel density measurements and OCT RNFL thickness measurements for classifying healthy and glaucomatous eyes. Design : Comparison of diagnostic approaches Methods : 130 eyes of 80 healthy individuals and 275 eyes of 185 glaucoma patients with optic nerve head (ONH) OCTA and OCT imaging were included. Classification performance of a VGG16 CNN trained and tested on entire en face 4.5 mm x 4.5 mm radial peripapillary capillary OCTA ONH images was ...

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      Mentions: UCSD
    10. Optic Disc Microvasculature Dropout in Glaucoma Detected by Swept-Source Optical Coherence Tomography Angiography

      Optic Disc Microvasculature Dropout in Glaucoma Detected by Swept-Source Optical Coherence Tomography Angiography

      Purpose To assess the clinical utility of swept-source optical coherence tomography angiography (SS-OCTA) in detecting optic disc microvasculature dropout (MvD-D) in primary open-angle glaucoma (POAG) eyes. Design Cross sectional study. Methods One hundred and ninety-seven eyes of 197 POAG patients with acceptable-quality SS-OCTA (PLEX Elite 9000; Carl Zeiss Meditec, Dublin, CA, USA) images were enrolled. A whole-signal-mode 6.0 × 6.0-mm optic disc cube was obtained with projection artifact removal. Three groups were categorized: no MvD-D (Group 1), MvD-D (Group 2, complete loss of microvasculature within the optic disc), and indiscernible MvD-D (Group 3, poor visualization of the anterior lamina ...

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    11. Central macular OCTA parameters in glaucoma

      Central macular OCTA parameters in glaucoma

      Background/aims: To investigate the relationship between the foveal avascular zone (FAZ) parameters assessed by optical coherence tomography angiography (OCTA) and central visual field parameters in glaucoma and healthy subjects. Methods: One hundred and eighty-eight subjects (248 eyes), including 24 healthy (38 eyes), 37 glaucoma suspect (42 eyes, and 127 primary open angle glaucoma (POAG) patients (168 eyes), underwent imaging using OCTA and standard automated perimetry using the 24-2 and 10-2 Swedish Interactive Thresholding Algorithm. OCTA-based and OCT-based FAZ parameters (superficial FAZ area, FAZ circumference), foveal vessel density (FD300) and foveal thickness were measured. The correlation between FAZ parameters and ...

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      Mentions: UCSD
    12. Individualized Glaucoma Change Detection Using Deep Learning Auto Encoder-Based Regions of Interest

      Individualized Glaucoma Change Detection Using Deep Learning Auto Encoder-Based Regions of Interest

      Purpose : To compare change over time in eye-specific optical coherence tomography (OCT) retinal nerve fiber layer (RNFL)-based region-of-interest (ROI) maps developed using unsupervised deep-learning auto-encoders (DL-AE) to circumpapillary RNFL (cpRNFL) thickness for the detection of glaucomatous progression. Methods : Forty-four progressing glaucoma eyes (by stereophotograph assessment), 189 nonprogressing glaucoma eyes (by stereophotograph assessment), and 109 healthy eyes were followed for ≥3 years with ≥4 visits using OCT. The San Diego Automated Layer Segmentation Algorithm was used to automatically segment the RNFL layer from raw three-dimensional OCT images. For each longitudinal series, DL-AEs were used to generate individualized eye-based ROI maps ...

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      Mentions: UCSD
    13. Long-Term Reproducibility of Optical Coherence Tomography Angiography in Stable Glaucomatous Eyes

      Long-Term Reproducibility of Optical Coherence Tomography Angiography in Stable Glaucomatous Eyes

      Purpose : To assess and compare long-term reproducibility of optical coherence tomography angiography (OCTA) vascular parameters and spectral-domain optical coherence tomography (OCT) thickness parameters in stable glaucoma, glaucoma suspect, and healthy eyes. Methods : A total of 88 eyes (15 healthy, 38 glaucoma suspect, and 35 non-progressive POAG) of 68 subjects were enrolled who had at least 3 visits within 1 to 1.5 years and both OCT and OCTA (Optovue Inc, Fremont, California, USA) imaging on the same day. A series of vascular and thickness parameters were measured including macula whole image vessel density (wiVD), optic nerve head (ONH) circumpapillary capillary ...

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    14. Predicting central 10 degrees visual field from peripapillary optical coherence tomography using deep learning approach

      Predicting central 10 degrees visual field from peripapillary optical coherence tomography using deep learning approach

      Purpose: To develop a deep learning (DL) simulation of standard automated perimetry (SAP) in the central 10 ° based on spectral domain optical coherence tomography (SD-OCT) retinal nerve fiber layer thickness (RNFLT). Methods : This study included 5352 pairs of SD-OCT and 10-2 SAP from 1365 eyes of 724 healthy, glaucoma suspect and glaucoma patients from the Diagnostic Innovations in Glaucoma Study (DIGS) and the African Descent and Glaucoma Evaluation Study (ADAGES). Each pair of SD-OCT and 10-2 SAP was obtained within a 6-month duration. The dataset was randomly divided into training (65%), validation (15%), and test (20%) sets at the patient ...

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      Mentions: UCSD
    15. Optical Coherence Tomography Angiography Artifacts in Glaucoma

      Optical Coherence Tomography Angiography Artifacts in Glaucoma

      Purpose: To determine the prevalence of different types of artifacts seen in optical coherence tomography angiography (OCTA) images of healthy and glaucoma eyes and to evaluate the characteristics associated with the increased likelihood of obtaining poor quality images. Design: Retrospective study. Participants: A total of 649 eyes of 368 healthy, glaucoma suspect, and glaucoma patients. Methods: Angiovue high density (HD) and non-HD optic nerve head and macula OCTA images of participants were evaluated by 4 expert reviewers for the presence of different artifacts including eye movement, defocus, shadow, decentration, segmentation error, blink and Z offset in the superficial vascular layer ...

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      Mentions: UCSD
    16. Impact of Pupil Dilation on Optical Coherence Tomography Angiography Retinal Microvasculature in Healthy Eyes

      Impact of Pupil Dilation on Optical Coherence Tomography Angiography Retinal Microvasculature in Healthy Eyes

      Précis: Small but significant decreases in OCTA-measured circumpapillary capillary density were observed in healthy eyes dilated with 2.5% phenylephrine/0.5% tropicamide. Though likely clinically insignificant, ophthalmologists should consider these changes when interpreting OCTA results from dilated eyes. Purpose: To investigate the effect of pupil dilation using 2.5% phenylephrine and 0.5% tropicamide on quantitative assessment of retinal microvasculature using OCTA. Methods: OptoVue AngioVue high density (HD) and non-HD OCTA macula and optic nerve head (ONH) images were obtained at 15-minute intervals pre- and post- dilation in 26 healthy participants (mean age: 40.0; 95% CI=33 ...

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      Mentions: Visionix UCSD
    17. Gradient Bosting Classifiers Combining Vessel Density and Tissue Thickness Measurements for Classifying Early to Moderate Glaucoma

      Gradient Bosting Classifiers Combining Vessel Density and Tissue Thickness Measurements for Classifying Early to Moderate Glaucoma

      Purpose To compare gradient boosting classifier (GBC) analysis of optical coherence tomography angiography (OCTA)-measured vessel density (VD) and OCT-measured tissue thickness to standard OCTA VD and OCT thickness parameters for classifying healthy eyes and eyes with early to moderate glaucoma. Design Comparison of diagnostic tools. Methods One-hundred-eight healthy eyes and 193 glaucomatous eyes with OCTA and OCT imaging of the macula and optic nerve head (ONH) were studied. Four GBCs were evaluated that combined 1) all macula VD and thickness measurements (Macula GBC), 2) all ONH VD and thickness measurements (ONH GBC), 3) all VD measurements from the macula ...

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      Mentions: UCSD
    18. Diagnostic Ability of Optical Coherence Tomography Angiography Macula Vessel Density for the Diagnosis of Glaucoma Using Difference Scan Sizes

      Diagnostic Ability of Optical Coherence Tomography Angiography Macula Vessel Density for the Diagnosis of Glaucoma Using Difference Scan Sizes

      Précis: There is diagnostic information in the outer region of OCTA macula scans not available in the inner region, and this information is especially useful in the early stages of glaucoma . Purpose: To evaluate the diagnostic accuracy of 3×3▒mm 2 and 6×6▒mm 2 macula OCT-A scans for classifying healthy, mild glaucoma , and moderate to severe glaucoma eyes. Methods: Participants enrolled in the Diagnostic Innovations in Glaucoma Study (DIGS) with good quality 3×3▒mm 2 and 6×6▒mm 2 OCT-A images of the macula (AngioVue; Optovue, Freemont, CA) acquired on the same day were ...

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    19. Deep Learning Approaches Predict Glaucomatous Visual Field Damage from Optical Coherence Tomography Optic Nerve Head Enface Images and Retinal Nerve Fiber Layer Thickness Maps

      Deep Learning Approaches Predict Glaucomatous Visual Field Damage from Optical Coherence Tomography Optic Nerve Head Enface Images and Retinal Nerve Fiber Layer Thickness Maps

      Purpose To develop and evaluate a deep learning system for differentiating between eyes with and without glaucomatous visual field damage (GVFD) and predicting the severity of GFVD from spectral domain optical coherence tomography (SDOCT) optic nerve head images. Design Evaluation of a diagnostic technology Participants 9,765 visual field (VF)–SDOCT pairs collected from 1,194 participants with and without GVFD (1909 eyes). Methods Deep learning models were trained to use SDOCT retinal nerve fiber layer (RNFL) thickness maps, RNFL enface images, and confocal scanning laser ophthalmoscopy (CSLO) images to identify eyes with GVFD and predict quantitative VF mean deviation ...

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    20. Association of Macular and Circumpapillary Microvasculature with Visual Field Sensitivity in Advanced Glaucoma

      Association of Macular and Circumpapillary Microvasculature with Visual Field Sensitivity in Advanced Glaucoma

      Purpose To evaluate the association between optical coherence tomography angiography (OCTA) macular and circumpapillary vessel density and visual field mean deviation (MD) in advanced primary open angle glaucoma (POAG). Design Cross-sectional study. Methods Macula (superficial layer) and optic nerve head [ONH, with (capillary density :CD) and without (vessel density: VD) automated removal of large vessels] OCTA of 34 eyes (34 patients, MD < -10 dB) were investigated as macula whole image VD (wiVD), parafoveal VD (pfVD), ONH wiVD, wiCD, circumpapillary VD (cpVD), and cpCD. Spectral domain OCT circumpapillary retinal nerve fiber layer (cpRNFL), macular ganglion cell complex (GCC) and ganglion cell ...

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      Mentions: UCSD
    21. Measurement floors and dynamic ranges of optical coherence tomography and angiography in glaucoma

      Measurement floors and dynamic ranges of optical coherence tomography and angiography in glaucoma

      Purpose To determine if optical coherence tomography angiography (OCTA)–derived vessel density measurements can extend the available dynamic range for detecting glaucoma compared to spectral-domain optical coherence tomography (SDOCT)–derived thickness measurements. Design Observational, cross-sectional study. Participants A total of 509 eyes from 38 healthy participants, 63 glaucoma suspects and 193 glaucoma patients enrolled in the Diagnostic Innovations in Glaucoma Study. Methods Relative vessel density and tissue thickness measurement floors of perifoveal superficial vessel density (pfVD), circumpapillary capillary density (cpCD), circumpapillary retinal nerve fiber (cpRNFL) thickness, ganglion cell complex (GCC) thickness and visual field mean deviation were investigated and compared ...

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      Mentions: UCSD
    22. Optic disc microvasculature dropout in primary open-angle glaucoma measured with optical coherence tomography angiography

      Optic disc microvasculature dropout in primary open-angle glaucoma measured with optical coherence tomography angiography

      Purpose To evaluate microvasculature dropout in the optic disc (Mvd-D) using optical coherence tomography angiography (OCTA) and investigate factors associated with Mvd-D in primary open-angle glaucoma (POAG) eyes. Methods One hundred twenty-three eyes of 123 POAG patients were included from the Diagnostic Innovations in Glaucoma Study. The 3.0×3.0-mm optic nerve head OCTA scans were acquired using a spectral-domain OCT instrument. Images with whole-signal-mode were evaluated. Eyes were classified into 3 categories (Mvd-D, pseudo-Mvd-D, and no Mvd-D). Mvd-D and pseudo-Mvd-D had complete loss of OCTA signals on the temporal side of the optic disc on the en face ...

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    23. Retinal Nerve Fiber Layer Features Identified by Unsupervised Machine Learning on Optical Coherence Tomography Scans Predict Glaucoma Progression

      Retinal Nerve Fiber Layer Features Identified by Unsupervised Machine Learning on Optical Coherence Tomography Scans Predict Glaucoma Progression

      Purpose : To apply computational techniques to wide-angle swept-source optical coherence tomography (SS-OCT) images to identify novel, glaucoma-related structural features and improve detection of glaucoma and prediction of future glaucomatous progression. Methods : Wide-angle SS-OCT, OCT circumpapillary retinal nerve fiber layer (cpRNFL) circle scans spectral-domain (SD)-OCT, standard automated perimetry (SAP), and frequency doubling technology (FDT) visual field tests were completed every 3 months for 2 years from a cohort of 28 healthy participants (56 eyes) and 93 glaucoma participants (179 eyes). RNFL thickness maps were extracted from segmented SS-OCT images and an unsupervised machine learning approach based on principal component analysis ...

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      Mentions: UCSD
    24. Deep-Layer Microvasculature Dropout by Optical Coherence Tomography Angiography and Microstructure of Parapapillary Atrophy

      Deep-Layer Microvasculature Dropout by Optical Coherence Tomography Angiography and Microstructure of Parapapillary Atrophy

      Purpose : To investigate the association between the microstructure of β-zone parapapillary atrophy (βPPA) and parapapillary deep-layer microvasculature dropout assessed by optical coherence tomography angiography (OCT-A). Methods : Thirty-seven eyes with βPPA devoid of the Bruch's membrane (BM) (γPPA) ranging between completely absent and discontinuous BM were matched by severity of the visual field (VF) damage with 37 eyes with fully intact BM (βPPA +BM ) based on the spectral-domain (SD) OCT imaging. Parapapillary deep-layer microvasculature dropout was defined as a dropout of the microvasculature within choroid or scleral flange in the βPPA on the OCT-A. The widths of βPPA, γPPA, and ...

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    1-24 of 62 1 2 3 »
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