1. Articles from Lauren S. Talman

    1-2 of 2
    1. Monocular and binocular low-contrast visual acuity and optical coherence tomography in pediatric multiple sclerosis

      Monocular and binocular low-contrast visual acuity and optical coherence tomography in pediatric multiple sclerosis

      Background Low-contrast letter acuity and optical coherence tomography (OCT) capture visual dysfunction and axonal loss in adult-onset multiple sclerosis (MS), and have been proposed as secondary outcome metrics for therapeutic trials. Clinical trials will soon be launched in pediatric MS, but such outcome metrics have not been well-validated in this population. Objectives To determine whether MS onset during childhood and adolescence is associated with measurable loss of visual acuity and thinning of the retinal nerve fiber layer (RNFL), whether such features are noted only in the context of clinical optic nerve inflammation (optic neuritis, ON) or are a feature of ...

      Read Full Article
    2. Retinal Ganglion Cell Layer Volumetric Assessment by Spectral-Domain Optical Coherence Tomography in Multiple Sclerosis: Application of a High-Precision Manual Estimation Technique

      Retinal Ganglion Cell Layer Volumetric Assessment by Spectral-Domain Optical Coherence Tomography in Multiple Sclerosis: Application of a High-Precision Manual Estimation Technique
      Background: Neuronal loss in the retina has been demonstrated pathologically in eyes of patients with multiple sclerosis (MS). In vivo, MS eyes have reduced total macular volumes by optical coherence tomography (OCT). Using a high-resolution spectral-domain OCT, this pilot study used a manual method to measure ganglion cell layer (GCL) volumes and to determine the relation of these volumes to visual function in MS eyes. Methods: Sixteen eyes of 8 patients with MS and 8 eyes of 5 disease-free control participants were studied using fast macular OCT scans performed with Spectralis OCT (Heidelberg Engineering). Visual function tests of low-contrast letter ...
      Read Full Article
    1-2 of 2
  1. Categories

    1. Applications:

      Art, Cardiology, Dentistry, Dermatology, Developmental Biology, Gastroenterology, Gynecology, Microscopy, NDE/NDT, Neurology, Oncology, Ophthalmology, Other Non-Medical, Otolaryngology, Pulmonology, Urology
    2. Business News:

      Acquisition, Clinical Trials, Funding, Other Business News, Partnership, Patents
    3. Technology:

      Broadband Sources, Probes, Tunable Sources
    4. Miscellaneous:

      Jobs & Studentships, Student Theses, Textbooks
  2. Topics in the News

    1. (2 articles) University of Pennsylvania
    2. (2 articles) Johns Hopkins University
    3. (2 articles) UT Southwestern Medical Center
    4. (2 articles) Peter A. Calabresi
    5. (2 articles) Laura J. Balcer
    6. (2 articles) Elliot M. Frohman
    7. (1 articles) Amy Conger
    8. (1 articles) Heidelberg Engineering
    9. (1 articles) Zeiss Stratus OCT
    10. (1 articles) Heidelberg Spectralis
  3. Popular Articles

  4. Picture Gallery

    Retinal Ganglion Cell Layer Volumetric Assessment by Spectral-Domain Optical Coherence Tomography in Multiple Sclerosis: Application of a High-Precision Manual Estimation Technique Monocular and binocular low-contrast visual acuity and optical coherence tomography in pediatric multiple sclerosis Choroidal thickness evaluation of healthy eyes, central serous chorioretinopathy, and fellow eyes using spectral domain optical coherence tomography in Indian population Optical Modalities for Embryonic Imaging High-speed and high-sensitivity parallel spectral-domain optical coherence tomography using a supercontinuum light source Optic Nerve Head Drusen Prevalence and Associated Factors in Clinically Normal Subjects Measured Using Optical Coherence Tomography Collagen Fiber Orientation and Dispersion in the Upper Cervix of Non-Pregnant and Pregnant Wome The measurement repeatability using different partition methods of intraretinal tomographic thickness maps in healthy human subjects Estimating OCT Structural Measurement Floors to Improve Detection of Progression In Advanced Glaucoma Google researchers use deep learning to detect diabetic retinopathy with upwards of 90 percent accuracy Google's training AI to catch diabetic blindness before it's too late Artificial Intelligence With Deep Learning Technology Looks Into Diabetic Retinopathy Screening