Literature DB >> 29285417

Agreement in Cone Density Derived from Gaze-Directed Single Images Versus Wide-Field Montage Using Adaptive Optics Flood Illumination Ophthalmoscopy.

Avenell L Chew1,2, Danuta M Sampson1,2, Irwin Kashani2,3, Fred K Chen1,2,4.   

Abstract

PURPOSE: We compared cone density measurements derived from the center of gaze-directed single images with reconstructed wide-field montages using the rtx1 adaptive optics (AO) retinal camera.
METHODS: A total of 29 eyes from 29 healthy subjects were imaged with the rtx1 camera. Of 20 overlapping AO images acquired, 12 (at 3.2°, 5°, and 7°) were used for calculating gaze-directed cone densities. Wide-field AO montages were reconstructed and cone densities were measured at the corresponding 12 loci as determined by field projection relative to the foveal center aligned to the foveal dip on optical coherence tomography. Limits of agreement in cone density measurement between single AO images and wide-field AO montages were calculated.
RESULTS: Cone density measurements failed in 1 or more gaze directions or retinal loci in up to 58% and 33% of the subjects using single AO images or wide-field AO montage, respectively. Although there were no significant overall differences between cone densities derived from single AO images and wide-field AO montages at any of the 12 gazes and locations (P = 0.01-0.65), the limits of agreement between the two methods ranged from as narrow as -2200 to +2600, to as wide as -4200 to +3800 cones/mm2.
CONCLUSIONS: Cone density measurement using the rtx1 AO camera is feasible using both methods. Local variation in image quality and altered visibility of cones after generating montages may contribute to the discrepancies. TRANSLATIONAL RELEVANCE: Cone densities from single AO images are not interchangeable with wide-field montage derived-measurements.

Entities:  

Keywords:  clinical trials endpoint; foveal center; preferred retinal locus; retinal imaging; rtx1 adaptive optics camera

Year:  2017        PMID: 29285417      PMCID: PMC5744632          DOI: 10.1167/tvst.6.6.9

Source DB:  PubMed          Journal:  Transl Vis Sci Technol        ISSN: 2164-2591            Impact factor:   3.283


  28 in total

1.  The Negative Cone Mosaic: A New Manifestation of the Optical Stiles-Crawford Effect in Normal Eyes.

Authors:  Chahira Miloudi; Florence Rossant; Isabelle Bloch; Céline Chaumette; Alexandre Leseigneur; José-Alain Sahel; Serge Meimon; Sarah Mrejen; Michel Paques
Journal:  Invest Ophthalmol Vis Sci       Date:  2015-11       Impact factor: 4.799

2.  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

3.  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

4.  In vivo imaging of human photoreceptor mosaic with wavefront sensorless adaptive optics optical coherence tomography.

Authors:  Kevin S K Wong; Yifan Jian; Michelle Cua; Stefano Bonora; Robert J Zawadzki; Marinko V Sarunic
Journal:  Biomed Opt Express       Date:  2015-01-16       Impact factor: 3.732

5.  Interocular symmetry of parafoveal photoreceptor cone density distribution.

Authors:  Marco Lombardo; Giuseppe Lombardo; Domenico Schiano Lomoriello; Pietro Ducoli; Mario Stirpe; Sebastiano Serrao
Journal:  Retina       Date:  2013-09       Impact factor: 4.256

6.  Pre-processing, registration and selection of adaptive optics corrected retinal images.

Authors:  Gomathy Ramaswamy; Nicholas Devaney
Journal:  Ophthalmic Physiol Opt       Date:  2013-04-29       Impact factor: 3.117

7.  Possible errors in the measurement of retinal lesions.

Authors:  J V Arnold; J W Gates; K M Taylor
Journal:  Invest Ophthalmol Vis Sci       Date:  1993-07       Impact factor: 4.799

8.  Computational high-resolution optical imaging of the living human retina.

Authors:  Nathan D Shemonski; Fredrick A South; Yuan-Zhi Liu; Steven G Adie; P Scott Carney; Stephen A Boppart
Journal:  Nat Photonics       Date:  2015       Impact factor: 38.771

9.  Reliability of cone counts using an adaptive optics retinal camera.

Authors:  Mélanie Bidaut Garnier; Mathieu Flores; Guillaume Debellemanière; Marc Puyraveau; Perle Tumahai; Mathieu Meillat; Claire Schwartz; Michel Montard; Bernard Delbosc; Maher Saleh
Journal:  Clin Exp Ophthalmol       Date:  2014-07-25       Impact factor: 4.207

Review 10.  Adaptive optics technology for high-resolution retinal imaging.

Authors:  Marco Lombardo; Sebastiano Serrao; Nicholas Devaney; Mariacristina Parravano; Giuseppe Lombardo
Journal:  Sensors (Basel)       Date:  2012-12-27       Impact factor: 3.576

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  3 in total

1.  Impact of Reference Center Choice on Adaptive Optics Imaging Cone Mosaic Analysis.

Authors:  Danial Roshandel; Danuta M Sampson; David A Mackey; Fred K Chen
Journal:  Invest Ophthalmol Vis Sci       Date:  2022-04-01       Impact factor: 4.925

Review 2.  Cellular imaging of inherited retinal diseases using adaptive optics.

Authors:  Jasdeep S Gill; Mariya Moosajee; Adam M Dubis
Journal:  Eye (Lond)       Date:  2019-06-04       Impact factor: 3.775

3.  Retinal Differential Light Sensitivity Variation Across the Macula in Healthy Subjects: Importance of Cone Separation and Loci Eccentricity.

Authors:  Danuta M Sampson; Danial Roshandel; Avenell L Chew; Yufei Wang; Paul G Stevenson; Matthew N Cooper; Elaine Ong; Lawrence Wong; Jonathan La; David Alonso-Caneiro; Enid Chelva; Jane C Khan; David D Sampson; Fred K Chen
Journal:  Transl Vis Sci Technol       Date:  2021-05-03       Impact factor: 3.283

  3 in total

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