Literature DB >> 24056526

Evaluation of semiautomated measurement of geographic atrophy in age-related macular degeneration by fundus autofluorescence in clinical setting.

Christophe Panthier1, Giuseppe Querques, Nathalie Puche, Valérie Le Tien, Rocio B Garavito, Stephane Béchet, Nathalie Massamba, Eric H Souied.   

Abstract

PURPOSE: To assess intraobserver and interobserver agreement among physicians with different degrees of clinical experience, using a novel fundus autofluorescence semiautomated software for quantification of geographic atrophy in clinical setting.
METHODS: Fundus autofluorescence frames (excitation: 488 nm; emission: 500-700 nm) of 29 eyes (20 patients; mean age, 79.6 ± 6.2 years) with geographic atrophy secondary to age-related macular degeneration, and no signs of choroidal neovascularization, were analyzed using Region Finder, a semiautomated software embedded in Spectralis (Heidelberg Engineering, Heidelberg, Germany). For each study eye, semiautomated atrophy identification and quantification were independently performed, twice (in a 2-week time frame), by 3 readers with different degrees of clinical experience (2 fellows, and 1 resident). Intraobserver and interobserver agreements were assessed.
RESULTS: Mean difference in intraobserver agreement (Bland-Altman statistics) ranged from -0.17 mm² to 0.13 mm². Intraobserver agreement was excellent until the geographic atrophy threshold value of 15.72 mm². Variability correlated with the size of atrophy. Mean difference in interobserver agreement (Bland-Altman statistics) ranged from -0.25 mm² to 0.27 mm², with no significant difference between senior and junior readers. Multifocal lesion or foveal involvement in atrophy was not the cause of disagreement.
CONCLUSION: Region Finder is a reliable tool for the identification and quantification of geographic atrophy in patients with age-related macular degeneration, in a clinical setting even when performed by junior reader.

Entities:  

Mesh:

Year:  2014        PMID: 24056526     DOI: 10.1097/01.iae.0000433986.32991.1e

Source DB:  PubMed          Journal:  Retina        ISSN: 0275-004X            Impact factor:   4.256


  12 in total

1.  Automated segmentation of geographic atrophy of the retinal epithelium via random forests in AREDS color fundus images.

Authors:  Albert K Feeny; Mongkol Tadarati; David E Freund; Neil M Bressler; Philippe Burlina
Journal:  Comput Biol Med       Date:  2015-07-09       Impact factor: 4.589

2.  CHARACTERISTICS OF PIGMENTED LESIONS IN TYPE 2 IDIOPATHIC MACULAR TELANGIECTASIA.

Authors:  Irene Leung; Ferenc B Sallo; Roberto Bonelli; Traci E Clemons; Daniel Pauleikhoff; Emily Y Chew; Alan C Bird; Tunde Peto
Journal:  Retina       Date:  2018-01       Impact factor: 4.256

3.  Automatic Quantification Software for Geographic Atrophy Associated with Age-Related Macular Degeneration: A Validation Study.

Authors:  José M Ruiz-Moreno; Jorge Ruiz-Medrano; Francisco Lugo; Belen Sirvent; Ignacio Flores-Moreno
Journal:  J Ophthalmol       Date:  2020-08-05       Impact factor: 1.909

4.  Beyond Retinal Layers: A Deep Voting Model for Automated Geographic Atrophy Segmentation in SD-OCT Images.

Authors:  Zexuan Ji; Qiang Chen; Sijie Niu; Theodore Leng; Daniel L Rubin
Journal:  Transl Vis Sci Technol       Date:  2018-01-02       Impact factor: 3.283

5.  Subretinal Drusenoid Deposits and Photoreceptor Loss Detecting Global and Local Progression of Geographic Atrophy by SD-OCT Imaging.

Authors:  Gregor S Reiter; Reinhard Told; Markus Schranz; Lukas Baumann; Georgios Mylonas; Stefan Sacu; Andreas Pollreisz; Ursula Schmidt-Erfurth
Journal:  Invest Ophthalmol Vis Sci       Date:  2020-06-03       Impact factor: 4.799

6.  Semi-automated quantification of geographic atrophy with blue-light autofluorescence and spectral-domain optical coherence tomography: a comparison between the region finder and the advanced retinal pigment epithelium tool in the clinical setting.

Authors:  Adrian Reumueller; Stefan Sacu; Maria Georgia Karantonis; Irene Steiner; Guenther Weigert; Ursula Schmidt-Erfurth
Journal:  Acta Ophthalmol       Date:  2019-03-24       Impact factor: 3.761

7.  Retinal Pigment Epithelium Atrophy in Recessive Stargardt Disease as Measured by Short-Wavelength and Near-Infrared Autofluorescence.

Authors:  Ruben Jauregui; Yan Nuzbrokh; Pei-Yin Su; Jana Zernant; Rando Allikmets; Stephen H Tsang; Janet R Sparrow
Journal:  Transl Vis Sci Technol       Date:  2021-01-05       Impact factor: 3.283

8.  Atlas of Human Retinal Pigment Epithelium Organelles Significant for Clinical Imaging.

Authors:  Andreas Pollreisz; Martina Neschi; Kenneth R Sloan; Michael Pircher; Tamara Mittermueller; Dennis M Dacey; Ursula Schmidt-Erfurth; Christine A Curcio
Journal:  Invest Ophthalmol Vis Sci       Date:  2020-07-01       Impact factor: 4.799

9.  Model Structure Uncertainty in the Characterization and Growth of Geographic Atrophy.

Authors:  Janan Arslan; Kurt K Benke; Gihan Samarasinghe; Arcot Sowmya; Robyn H Guymer; Paul N Baird
Journal:  Transl Vis Sci Technol       Date:  2021-05-03       Impact factor: 3.283

10.  Blue Autofluorescence Fundus Imaging for Monitoring Retinal Degeneration in Royal College of Surgeons Rats.

Authors:  Ettel Bubis; Ifat Sher; Alon Skaat; Inbal Sharvit-Ginon; Alicja M Szalapak; Iris Moroz; Ofra Kalter-Leibovici; Ygal Rotenstreich
Journal:  Transl Vis Sci Technol       Date:  2019-02-28       Impact factor: 3.283

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.