Literature DB >> 24800991

Reliability of cone counts using an adaptive optics retinal camera.

Mélanie Bidaut Garnier1, Mathieu Flores, Guillaume Debellemanière, Marc Puyraveau, Perle Tumahai, Mathieu Meillat, Claire Schwartz, Michel Montard, Bernard Delbosc, Maher Saleh.   

Abstract

BACKGROUND: To assess the reproducibility and repeatability of cone imaging in healthy human eyes, using the RTx-1 Adaptive Optics Retinal Camera and its proprietary cone-counting software.
DESIGN: Single-centre, prospective study. PARTICIPANTS: Ten healthy adults.
METHODS: Macular cones were imaged. Intrasession repeatability was assessed by comparing 10 consecutive acquisitions obtained by the same operator from each subject. For the intersession study, each subject was imaged five consecutive days. Interoperator reproducibility was also evaluated by comparing the images obtained from 10 different subjects by two independent operators. Finally, intergrader agreement was evaluated by comparing the cone counts measured by two masked graders. MAIN OUTCOME MEASURES: Mean cone density (cells/mm(2) ), spacing between cells (μm) and percentage of cones with six neighbours calculated on Voronoi diagrams were measured. Correlation coefficients, intraclass correlation coefficients, and coefficients of variation were calculated.
RESULTS: Correlation coefficient and intraclass correlation coefficient were respectively 0.81 and 0.96 between operators, and 0.97 and 0.98 between the two graders. The intrasession and intersession coefficients of variation were under 7%. The percentage of cells with six neighbours and the spacing between cones varied in the same proportion (coefficients of variation ranged from 1.66 to 10.05%).
CONCLUSIONS: Overall, the test-retest variability of RTx-1 and its software was good in normal human eyes. Further studies in the normal clinical setting are mandatory.
© 2014 Royal Australian and New Zealand College of Ophthalmologists.

Entities:  

Keywords:  cell count; healthy volunteers; optical imaging; reproducibility of results; retinal cone photoreceptor cells

Mesh:

Year:  2014        PMID: 24800991     DOI: 10.1111/ceo.12356

Source DB:  PubMed          Journal:  Clin Exp Ophthalmol        ISSN: 1442-6404            Impact factor:   4.207


  17 in total

1.  Semi-automated identification of cones in the human retina using circle Hough transform.

Authors:  Danuta M Bukowska; Avenell L Chew; Emily Huynh; Irwin Kashani; Sue Ling Wan; Pak Ming Wan; Fred K Chen
Journal:  Biomed Opt Express       Date:  2015-11-03       Impact factor: 3.732

2.  Quantitative analysis of photoreceptor layer reflectivity on en-face optical coherence tomography as an estimator of cone density.

Authors:  Maher Saleh; Mathieu Flores; Anne Sophie Gauthier; Emeric Elphege; Bernard Delbosc
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2017-08-08       Impact factor: 3.117

3.  Use of focus measure operators for characterization of flood illumination adaptive optics ophthalmoscopy image quality.

Authors:  David Alonso-Caneiro; Danuta M Sampson; Avenell L Chew; Michael J Collins; Fred K Chen
Journal:  Biomed Opt Express       Date:  2018-01-18       Impact factor: 3.732

4.  In vivo imaging of a cone mosaic in a patient with achromatopsia associated with a GNAT2 variant.

Authors:  Shinji Ueno; Ayami Nakanishi; Taro Kominami; Yasuki Ito; Takaaki Hayashi; Kazutoshi Yoshitake; Yuichi Kawamura; Kazushige Tsunoda; Takeshi Iwata; Hiroko Terasaki
Journal:  Jpn J Ophthalmol       Date:  2016-10-07       Impact factor: 2.447

5.  Comparison of Cone Mosaic Metrics From Images Acquired With the SPECTRALIS High Magnification Module and Adaptive Optics Scanning Light Ophthalmoscopy.

Authors:  Niamh Wynne; Heather Heitkotter; Erica N Woertz; Robert F Cooper; Joseph Carroll
Journal:  Transl Vis Sci Technol       Date:  2022-05-02       Impact factor: 3.048

6.  Changes in macular ultrastructural morphology in unilateral anisometropic amblyopia.

Authors:  Na Liao; Huilv Jiang; Guangyun Mao; Yiyu Li; Anquan Xue; Yuan Lan; Hao Lin; Qinmei Wang
Journal:  Am J Transl Res       Date:  2019-08-15       Impact factor: 4.060

7.  Adaptive optics imaging in a case of welder's maculopathy.

Authors:  Shorya Vardhan Azad; Tejaswini Vukkadala; Vinod Kumar; Archana Kumari
Journal:  Indian J Ophthalmol       Date:  2020-10       Impact factor: 1.848

8.  High-resolution imaging of photoreceptors in healthy human eyes using an adaptive optics retinal camera.

Authors:  P Tumahai; C Moureaux; M Meillat; G Debellemanière; M Flores; B Delbosc; M Saleh
Journal:  Eye (Lond)       Date:  2018-07-11       Impact factor: 3.775

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

Authors:  Avenell L Chew; Danuta M Sampson; Irwin Kashani; Fred K Chen
Journal:  Transl Vis Sci Technol       Date:  2017-12-22       Impact factor: 3.283

10.  The Reliability of Cone Density Measurements in the Presence of Rods.

Authors:  Jessica I W Morgan; Grace K Vergilio; Jessica Hsu; Alfredo Dubra; Robert F Cooper
Journal:  Transl Vis Sci Technol       Date:  2018-06-22       Impact factor: 3.283

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