Literature DB >> 17591900

High-resolution imaging with adaptive optics in patients with inherited retinal degeneration.

Jacque L Duncan1, Yuhua Zhang, Jarel Gandhi, Chiaki Nakanishi, Mohammad Othman, Kari E H Branham, Anand Swaroop, Austin Roorda.   

Abstract

PURPOSE: To investigate macular photoreceptor structure in patients with inherited retinal degeneration using high-resolution images and to correlate the findings with clinical phenotypes and genetic mutations.
METHODS: Adaptive optics scanning laser ophthalmoscopy (AOSLO) images of photoreceptors were obtained in 16 eyes: five with retinitis pigmentosa (RP), three with cone-rod dystrophy (CRD), and eight without retinal disease. A quadratic model was used to illustrate cone spacing as a function of retinal eccentricity. Cone spacing at 1 degrees eccentricity was compared with standard measures of central visual function, including best-corrected visual acuity (BCVA), foveal threshold, and multifocal electroretinogram (mfERG) amplitude and timing. Intervisit variations were studied in one patient with RP and one patient with CRD. Screening of candidate disease genes identified mutations in two patients, one with RP (a rhodopsin mutation) and the other with CRD (a novel RPGR-ORF15 mutation).
RESULTS: Cone spacing values were significantly different from normal for patients with RP (P = 0.01) and CRD (P < 0.0001) and demonstrated a statistically significant correlation with foveal threshold (P = 0.0003), BCVA (P = 0.01), and mfERG amplitude (P = 0.008). Although many RP patients showed normal cone spacing within 1 degrees of fixation, cones could not be unambiguously identified in several retinal regions. Cone spacing increased in all CRD patients, even those with early disease. Little variation was observed in cone spacing measured during two sessions fewer than 8 days apart.
CONCLUSIONS: AOSLO images can be used to study macular cones with high resolution in patients with retinal degeneration. The authors present the first report of cone structure in vivo in patients with mutations in rhodopsin and RPGR-ORF15 and show that macular cones display distinct characteristics, depending on the underlying disease. AOSLO imaging, therefore, can provide new insight into possible mechanisms of cone vision loss in patients with retinal degeneration.

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Year:  2007        PMID: 17591900     DOI: 10.1167/iovs.06-1422

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  148 in total

1.  Spectral domain optical coherence tomography and adaptive optics: imaging photoreceptor layer morphology to interpret preclinical phenotypes.

Authors:  Jungtae Rha; Adam M Dubis; Melissa Wagner-Schuman; Diane M Tait; Pooja Godara; Brett Schroeder; Kimberly Stepien; Joseph Carroll
Journal:  Adv Exp Med Biol       Date:  2010       Impact factor: 2.622

Review 2.  Advances in imaging of Stargardt disease.

Authors:  Y Chen; A Roorda; J L Duncan
Journal:  Adv Exp Med Biol       Date:  2010       Impact factor: 2.622

3.  Cone structure in retinal degeneration associated with mutations in the peripherin/RDS gene.

Authors:  Jacque L Duncan; Katherine E Talcott; Kavitha Ratnam; Sanna M Sundquist; Anya S Lucero; Shelley Day; Yuhua Zhang; Austin Roorda
Journal:  Invest Ophthalmol Vis Sci       Date:  2011-03-01       Impact factor: 4.799

4.  Assessment of Different Sampling Methods for Measuring and Representing Macular Cone Density Using Flood-Illuminated Adaptive Optics.

Authors:  Shu Feng; Michael J Gale; Jonathan D Fay; Ambar Faridi; Hope E Titus; Anupam K Garg; Keith V Michaels; Laura R Erker; Dawn Peters; Travis B Smith; Mark E Pennesi
Journal:  Invest Ophthalmol Vis Sci       Date:  2015-09       Impact factor: 4.799

5.  Relationship between foveal cone structure and clinical measures of visual function in patients with inherited retinal degenerations.

Authors:  Kavitha Ratnam; Joseph Carroll; Travis C Porco; Jacque L Duncan; Austin Roorda
Journal:  Invest Ophthalmol Vis Sci       Date:  2013-08-28       Impact factor: 4.799

6.  Cone structure imaged with adaptive optics scanning laser ophthalmoscopy in eyes with nonneovascular age-related macular degeneration.

Authors:  Shiri Zayit-Soudry; Jacque L Duncan; Reema Syed; Moreno Menghini; Austin J Roorda
Journal:  Invest Ophthalmol Vis Sci       Date:  2013-11-15       Impact factor: 4.799

7.  Imaging of vascular wall fine structure in the human retina using adaptive optics scanning laser ophthalmoscopy.

Authors:  Toco Y P Chui; Thomas J Gast; Stephen A Burns
Journal:  Invest Ophthalmol Vis Sci       Date:  2013-10-29       Impact factor: 4.799

8.  Noninvasive near infrared autofluorescence imaging of retinal pigment epithelial cells in the human retina using adaptive optics.

Authors:  Tao Liu; HaeWon Jung; Jianfei Liu; Michael Droettboom; Johnny Tam
Journal:  Biomed Opt Express       Date:  2017-09-07       Impact factor: 3.732

9.  Adaptive optics scanning laser ophthalmoscope with integrated wide-field retinal imaging and tracking.

Authors:  R Daniel Ferguson; Zhangyi Zhong; Daniel X Hammer; Mircea Mujat; Ankit H Patel; Cong Deng; Weiyao Zou; Stephen A Burns
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2010-11-01       Impact factor: 2.129

10.  Adaptive optics scanning laser ophthalmoscopy images in a family with the mitochondrial DNA T8993C mutation.

Authors:  Michael K Yoon; Austin Roorda; Yuhua Zhang; Chiaki Nakanishi; Lee-Jun C Wong; Qing Zhang; Leslie Gillum; Ari Green; Jacque L Duncan
Journal:  Invest Ophthalmol Vis Sci       Date:  2008-11-07       Impact factor: 4.799

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