1. UCLA

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    1. Mentioned In 279 Articles

    2. OCT retinal nerve fiber layer thickness differentiates acute optic neuritis from MOG antibody-associated disease and Multiple Sclerosis

      OCT retinal nerve fiber layer thickness differentiates acute optic neuritis from MOG antibody-associated disease and Multiple Sclerosis
      Background: Optic neuritis (ON) is the most common manifestation of myelin oligodendrocyte glycoprotein antibody associated disorder (MOGAD) and multiple sclerosis (MS). Acute ON in MOGAD is thought to be associated with more severe optic disk edema than in other demyelinating diseases, but this has not been quantitatively confirmed. The goal of this study was to determine whether optical coherence tomography (OCT) can distinguish acute ON in MOGAD from MS, and ...
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    3. Comparison Between Different Segmentation Strategies for the Choriocapillaris Using Optical Coherence Tomography Angiography

      Comparison Between Different Segmentation Strategies for the Choriocapillaris Using Optical Coherence Tomography Angiography
      Background and objective: To assess the relationship between retinal pigment epithelium (RPE) and RPE fit-based segmentations of the choriocapillaris (CC) and its expected anatomic location. Patients and methods: Consecutive healthy participants' eyes were imaged with optical coherence tomography angiography (PLEX Elite) with 3 3-mm and 6 6-mm scan. Ground-truth images were generated using 16-m-thick slabs starting from 4 m below the automatically segmented Bruch's membrane (BM) band. A series ...
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      Mentions: UCLA
    4. ADVANCED OCT ANALYSIS OF BIOPSY PROVEN VITREORETINAL LYMPHOMA: OCT findings in vitreo-retinal lymphoma

      ADVANCED OCT ANALYSIS OF BIOPSY PROVEN VITREORETINAL LYMPHOMA: OCT findings in vitreo-retinal lymphoma
      Importance: Although the diagnosis of vitreoretinal lymphoma (VRL) can be challenging, early detection is critical for visual prognosis. Objective: To analyze the spectrum of optical coherence tomography (OCT) findings in patients with biopsy-proven VRL and correlate these features with clinical parameters. Design: Retrospective cross-sectional study SETTING: Multicenter chart review from 13 retina, uveitis and ocular oncology clinics worldwide over an 11-year period (2008-2019). Participants: Patients with a diagnosis of biopsy-proven ...
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    5. Long-term assessment of internal limiting membrane peeling for full-thickness macular hole using en face adaptive optics and conventional optical coherence tomography

      Long-term assessment of internal limiting membrane peeling for full-thickness macular hole using en face adaptive optics and conventional optical coherence tomography
      Objective: To evaluate the long-term structural and microvascular retinal effects of internal limiting membrane peeling for full-thickness macular hole (FTMH) using en face adaptive optics optical coherence tomography (AO-OCT), conventional OCT, and OCT angiography (OCTA). Design: Interventional case series. Participants: Patients with FTMH treated with vitrectomy, internal limiting membrane peeling, and gas tamponade. Methods: Eleven eyes with FTMH that had at least 12 months of postoperative follow-up were enrolled in ...
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    6. Longitudinal Assessment of Ellipsoid Zone Recovery using En Face Optical Coherence Tomography after Retinal Detachment Repair

      Longitudinal Assessment of Ellipsoid Zone Recovery using En Face Optical Coherence Tomography after Retinal Detachment Repair
      Purpose Suboptimal functional outcomes following rhegmatogenous retinal detachment (RRD) repair may be related to photoreceptor abnormalities including alterations of the ellipsoid zone (EZ) which may not be apparent on cross-sectional optical coherence tomography (OCT). This study assessed EZ recovery using en face OCT following RRD repair and its association with visual acuity. Design Post hoc analysis of a randomized controlled trial. Methods Patients with macula-off RRD were followed at 3 ...
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      Mentions: UCLA
    7. Semi-Automated Extraction of Lens Fragments Via a Surgical Robot Using Semantic Segmentation of OCT Images With Deep Learning - Experimental Results in Ex Vivo Animal Model

      Semi-Automated Extraction of Lens Fragments Via a Surgical Robot Using Semantic Segmentation of OCT Images With Deep Learning - Experimental Results in Ex Vivo Animal Model
      The overarching goal of this work is to demonstrate the feasibility of using optical coherence tomography (OCT) to guide a robotic system to extract lens fragments from ex vivo pig eyes. A convolutional neural network (CNN) was developed to semantically segment four intraocular structures (lens material, capsule, cornea, and iris) from OCT images. The neural network was trained on images from ten pig eyes, validated on images from eight different ...
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      Mentions: UCLA
    8. Retinal Optical Coherence Tomography in Neuromyelitis Optica

      Retinal Optical Coherence Tomography in Neuromyelitis Optica
      Background and objectives: To determine optic nerve and retinal damage in aquaporin-4 antibody (AQP4-IgG)-seropositive neuromyelitis optica spectrum disorders (NMOSD) in a large international cohort after previous studies have been limited by small and heterogeneous cohorts. Methods: The cross-sectional Collaborative Retrospective Study on retinal optical coherence tomography (OCT) in neuromyelitis optica collected retrospective data from 22 centers. Of 653 screened participants, we included 283 AQP4-IgG-seropositive patients with NMOSD and 72 ...
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    9. Agreement of IOL power calculation between IOLMaster 700 and Anterion swept source optical coherence tomography-based biometers

      Agreement of IOL power calculation between IOLMaster 700 and Anterion swept source optical coherence tomography-based biometers
      Purpose: To assess agreement of measurements by two swept source optical coherence tomography (SS-OCT) biometers and to evaluate the prediction error (PE) in intraocular lens (IOL) power calculation with seven formulas. Setting: Tertiary public eye hospital. Design: Consecutive observational. Methods: Axial length (AL), keratometry (K), anterior chamber depth (ACD), lens thickness (LT), and corneal diameter (CD) were measured with IOL Master 700 (Biometer A) and Anterion (Biometer B). Agreement was ...
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    10. Diagnostic Accuracy of Endobronchial Optical Coherence Tomography for the Microscopic Diagnosis of Usual Interstitial Pneumonia

      Diagnostic Accuracy of Endobronchial Optical Coherence Tomography for the Microscopic Diagnosis of Usual Interstitial Pneumonia
      Rationale: Early, accurate diagnosis of interstitial lung disease (ILD) informs prognosis and therapy, especially in idiopathic pulmonary fibrosis (IPF). Current diagnostic methods are imperfect. HRCT resolution is limited while surgical lung biopsy (SLB) carries risks of morbidity/mortality. Endobronchial optical coherence tomography (EB-OCT) is a low-risk, bronchoscope-compatible modality that images large lung volumes in vivo with microscopic resolution, including subpleural lung, and has the potential to improve the diagnostic accuracy ...
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    11. En Face Optical Coherence Tomography Imaging of Foveal Dots in Eyes With Posterior Vitreous Detachment or Internal Limiting Membrane Peeling

      En Face Optical Coherence Tomography Imaging of Foveal Dots in Eyes With Posterior Vitreous Detachment or Internal Limiting Membrane Peeling
      Purpose: To analyze the morphology of foveal hyperreflective dots (HRD) identified with en face optical coherence tomography (OCT) and evaluate the effects of internal limiting membrane (ILM) peeling and posterior vitreous detachment (PVD) on the number of these lesions. Methods: Retrospective cross-sectional study of patients with OCT angiography and en face OCT. Using en face OCT, superficial HRD lying on the foveal floor were measured and quantitated in eyes with ...
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      Mentions: UCLA
    12. Deep learning improves image reconstruction in optical coherence tomography using less data

      Deep learning improves image reconstruction in optical coherence tomography using less data
      Optical coherence tomography (OCT) is a non-invasive imaging method that can provide 3D information of biological samples. The first generation of OCT systems were based on time-domain imaging, using a mechanical scanning set-up. However, the relatively slow data acquisition speed of these earlier time-domain OCT systems partially limited their use for imaging live specimen. The introduction of the spectral-domain OCT techniques with higher sensitivity has contributed to a dramatic increase ...
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    13. Implementation of Teleretinal Screening Using Optical Coherence Tomography in the Veterans Health Administration

      Implementation of Teleretinal Screening Using Optical Coherence Tomography in the Veterans Health Administration
      Background: The Veterans Health Administration (VHA) has an existing teleretinal screening program that uses nonmydriatic fundus photography to screen for diabetic retinopathy in primary care clinics. Concurrently, optical coherence tomography (OCT) has become a routine screening modality in eye clinics for the diagnosis and management of retinal diseases. Introduction: This study aimed to evaluate the first year of a pilot tele-OCT program that used existing resources within the VHA. Without ...
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      Mentions: UCLA
    14. Advances in Imaging Modalities, Artificial Intelligence, and Single Cell Biomarker Analysis, and Their Applications in Cytopathology

      Advances in Imaging Modalities, Artificial Intelligence, and Single Cell Biomarker Analysis, and Their Applications in Cytopathology
      Several advances in recent decades in digital imaging, artificial intelligence, and multiplex modalities have improved our ability to automatically analyze and interpret imaging data. Imaging technologies such as optical coherence tomography, optical projection tomography, and quantitative phase microscopy allow analysis of tissues and cells in 3-dimensions and with subcellular granularity. Improvements in computer vision and machine learning have made algorithms more successful in automatically identifying important features to diagnose disease ...
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      Mentions: UCLA
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  2. About UCLA

    UCLA

    University of California at Los Angeles (UCLA) is a public research university located in Westwood, Los Angeles, California, United States. It was founded in 1919, making it the second-oldest general-purpose campus in the University of California system. The name was changed in 1927 to the University of California at Los Angeles. UCLA comprises the College of Letters and Science (the primary undergraduate college) as well as undergraduate colleges Arts and Architecture, Herb Alpert School of Music, Henry Samueli School of Engineering and Applied Science, Nursing, and Theater, Film, and Television, seven professional schools, and five professional Health Science schools. Since 2001, UCLA has enrolled over 33,000 total students annually, and that number is steadily rising.