Literature DB >> 22033626

Intra and interobserver agreement in the classification of fundus autofluorescence patterns in geographic atrophy secondary to age-related macular degeneration.

Marc Biarnés1, Jordi Monés, Fabio Trindade, Jordi Alonso, Luis Arias.   

Abstract

BACKGROUND: To describe the intra and interobserver agreement in the evaluation of fundus autofluorescence patterns in geographic atrophy secondary to age-related macular degeneration.
METHODS: A consecutive series of patients with geographic atrophy and fundus autofluorescence images of a minimum acceptable quality for grading were included. Four observers with experience in the evaluation of autofluorescence images independently classified the randomly presented series of images on two occasions, at least 1 month apart from each other (intraobserver analysis). The second determination of each observer was used for evaluation of interobserver agreement. The kappa statistic and 95% confidence intervals, together with percentages of agreement, were used to analyze the results.
RESULTS: The final sample included 69 eyes of 49 patients. Intraobserver agreement ranged from substantial to almost perfect (kappa between 0.51 and 0.83), while interobserver results ranged from poor to substantial (corresponding to kappa between 0.30 and 0.62). The use of more simple classifications improved reproducibility.
CONCLUSIONS: Although intraobserver reproducibility was high, interobserver agreement was variable. Clear descriptions and a uniform set of criteria to classify these patients are needed if fundus autofluorescence imaging is used to evaluate patients with geographic atrophy.

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Mesh:

Year:  2011        PMID: 22033626     DOI: 10.1007/s00417-011-1846-y

Source DB:  PubMed          Journal:  Graefes Arch Clin Exp Ophthalmol        ISSN: 0721-832X            Impact factor:   3.117


  19 in total

1.  Fundus autofluorescence and development of geographic atrophy in age-related macular degeneration.

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2.  Interexpert agreement in the identification of macular location in infants at risk for retinopathy of prematurity.

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3.  The long-term natural history of geographic atrophy from age-related macular degeneration: enlargement of atrophy and implications for interventional clinical trials.

Authors:  Janet S Sunness; Eyal Margalit; Divya Srikumaran; Carol A Applegate; Yan Tian; Daniel Perry; Barbara S Hawkins; Neil M Bressler
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4.  Progression of age-related geographic atrophy: role of the fellow eye.

Authors:  Monika Fleckenstein; Steffen Schmitz-Valckenberg; Christine Adrion; Sivatharisini Visvalingam; Arno P Göbel; Andreas Mössner; Claudia N von Strachwitz; Friederike Mackensen; Daniel Pauleikhoff; Sebastian Wolf; Ulrich Mansmann; Frank G Holz
Journal:  Invest Ophthalmol Vis Sci       Date:  2011-08-22       Impact factor: 4.799

5.  A reappraisal of the kappa coefficient.

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7.  Agreement of visual field interpretation among glaucoma specialists and comprehensive ophthalmologists: comparison of time and methods.

Authors:  Albert P Lin; L Jay Katz; George L Spaeth; Marlene R Moster; Jeffrey D Henderer; Courtland M Schmidt; Jonathan S Myers
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8.  Agreement among ophthalmologists in evaluating fluorescein angiograms in patients with neovascular age-related macular degeneration for photodynamic therapy eligibility (FLAP-study).

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9.  The relationship of cardiovascular disease and its risk factors to age-related maculopathy. The Beaver Dam Eye Study.

Authors:  R Klein; B E Klein; T Franke
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10.  In vivo fluorescence of the ocular fundus exhibits retinal pigment epithelium lipofuscin characteristics.

Authors:  F C Delori; C K Dorey; G Staurenghi; O Arend; D G Goger; J J Weiter
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  8 in total

1.  The Project MACULA Retinal Pigment Epithelium Grading System for Histology and Optical Coherence Tomography in Age-Related Macular Degeneration.

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Journal:  Invest Ophthalmol Vis Sci       Date:  2015-05       Impact factor: 4.799

2.  Predictors for the progression of geographic atrophy in patients with age-related macular degeneration: fundus autofluorescence study with modified fundus camera.

Authors:  Y J Jeong; I H Hong; J K Chung; K L Kim; H K Kim; S P Park
Journal:  Eye (Lond)       Date:  2014-01-24       Impact factor: 3.775

3.  Deep learning-based detection and classification of geographic atrophy using a deep convolutional neural network classifier.

Authors:  Maximilian Treder; Jost Lennart Lauermann; Nicole Eter
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2018-08-08       Impact factor: 3.117

4.  VISUALIZING RETINAL PIGMENT EPITHELIUM PHENOTYPES IN THE TRANSITION TO GEOGRAPHIC ATROPHY IN AGE-RELATED MACULAR DEGENERATION.

Authors:  Emma C Zanzottera; Thomas Ach; Carrie Huisingh; Jeffrey D Messinger; Richard F Spaide; Christine A Curcio
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5.  Evolving Patterns of Hyperfluorescent Fundus Autofluorescence Accompany Retinal Atrophy in the Rat and Mimic Atrophic Age-Related Macular Degeneration.

Authors:  Natalie Pankova; David Sung Hyeon Baek; Xu Zhao; Hai Wang; Matthew-Mina Reyad; Huiyuan Liang; Rahul Joshi; Shelley Romayne Boyd
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6.  Semiautomatic Segmentation of Rim Area Focal Hyperautofluorescence Predicts Progression of Geographic Atrophy Due to Dry Age-Related Macular Degeneration.

Authors:  Michael J Allingham; Qing Nie; Eleonora M Lad; Daniel J Izatt; Priyatham S Mettu; Scott W Cousins; Sina Farsiu
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Review 7.  Fundus Autofluorescence in Age-related Macular Degeneration.

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Journal:  Optom Vis Sci       Date:  2017-02       Impact factor: 1.973

8.  Geographic atrophy phenotype identification by cluster analysis.

Authors:  Jordi Monés; Marc Biarnés
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  8 in total

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