Literature DB >> 28669780

Impact of Normal Aging and Progression Definitions on the Specificity of Detecting Retinal Nerve Fiber Layer Thinning.

Zhichao Wu1, Luke J Saunders2, Linda M Zangwill2, Fábio B Daga2, Jonathan G Crowston3, Felipe A Medeiros4.   

Abstract

PURPOSE: To evaluate the specificity of current definitions used to identify progressive change of the average peripapillary retinal nerve fiber layer (RNFL) thickness measurements obtained on optical coherence tomography (OCT) imaging.
DESIGN: Prospective observational cohort study.
METHODS: Setting: University of California, San Diego. STUDY POPULATION: Seventy-five eyes from 45 normal participants. OBSERVATION PROCEDURE: Patients were seen at an average of 5.7 visits over 3.2 years, to determine the age-related average RNFL thickness changes and longitudinal measurement variability. Slope and variability estimates were used to reconstruct "real-world" OCT imaging measurements with computer simulations. MAIN OUTCOME MEASURE: False-positive rates for progression in normal eyes using different definitions.
RESULTS: The estimated normal average RNFL thickness change over time was -0.54 ± 0.23 μm/year (P < .001). Even with a recent definition of progression that appeared to guarantee a high level of specificity by accounting for normal aging (requiring a significant negative slope that was more negative than the 5% lower limit of aging), 18% simulated normal eyes were still falsely identified as having progressed after 5 years of annual testing in a clinical practice scenario. However, this was reduced to 8% and 4% when trend-based analysis of progression was performed after adjustments using the mean and 5% lower limit of normal rates of aging, respectively.
CONCLUSIONS: This study highlights how current definitions for detecting RNFL thinning have an unacceptably poor level of specificity, and that more stringent definitions are required to avoid misleading interpretations of progression on OCT imaging in clinical practice.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Mesh:

Year:  2017        PMID: 28669780     DOI: 10.1016/j.ajo.2017.06.017

Source DB:  PubMed          Journal:  Am J Ophthalmol        ISSN: 0002-9394            Impact factor:   5.258


  25 in total

1.  Comparing the Rule of 5 to Trend-based Analysis for Detecting Glaucoma Progression on OCT.

Authors:  Atalie C Thompson; Alessandro A Jammal; Samuel I Berchuck; Eduardo B Mariottoni; Zhichao Wu; Fabio B Daga; Nara G Ogata; Carla N Urata; Tais Estrela; Felipe A Medeiros
Journal:  Ophthalmol Glaucoma       Date:  2020-06-14

2.  A CNN-aided method to predict glaucoma progression using DARC (Detection of Apoptosing Retinal Cells).

Authors:  Eduardo M Normando; Tim E Yap; John Maddison; Serge Miodragovic; Paolo Bonetti; Melanie Almonte; Nada G Mohammad; Sally Ameen; Laura Crawley; Faisal Ahmed; Philip A Bloom; Maria Francesca Cordeiro
Journal:  Expert Rev Mol Diagn       Date:  2020-05-03       Impact factor: 5.225

3.  Long-term structural and functional outcomes of primary congenital glaucoma.

Authors:  Yun Hsia; Tso-Ting Lai; Chien-Chia Su; Tsing-Hong Wang; Jehn-Yu Huang
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2021-04-22       Impact factor: 3.117

4.  Performance of the Rule of 5 for Detecting Glaucoma Progression between Visits with OCT.

Authors:  Atalie C Thompson; Alessandro A Jammal; Felipe A Medeiros
Journal:  Ophthalmol Glaucoma       Date:  2019-05-29

Review 5.  Detecting Structural Progression in Glaucoma with Optical Coherence Tomography.

Authors:  Andrew J Tatham; Felipe A Medeiros
Journal:  Ophthalmology       Date:  2017-12       Impact factor: 12.079

6.  Detecting Glaucomatous Progression With a Region-of-Interest Approach on Optical Coherence Tomography: A Signal-to-Noise Evaluation.

Authors:  Zhichao Wu; Abinaya Thenappan; Denis S D Weng; Robert Ritch; Donald C Hood
Journal:  Transl Vis Sci Technol       Date:  2018-02-28       Impact factor: 3.283

7.  Rates of RNFL Thinning in Patients with Suspected or Confirmed Glaucoma Receiving Unilateral Intravitreal Injections for Exudative AMD.

Authors:  Swarup S Swaminathan; Anne L Kunkler; Ann V Quan; Charles M Medert; Elizabeth A Vanner; William Feuer; Ta Chen Chang
Journal:  Am J Ophthalmol       Date:  2020-12-24       Impact factor: 5.488

Review 8.  Retinal imaging in Alzheimer's and neurodegenerative diseases.

Authors:  Peter J Snyder; Jessica Alber; Clemens Alt; Lisa J Bain; Brett E Bouma; Femke H Bouwman; Delia Cabrera DeBuc; Melanie C W Campbell; Maria C Carrillo; Emily Y Chew; M Francesca Cordeiro; Michael R Dueñas; Brian M Fernández; Maya Koronyo-Hamaoui; Chiara La Morgia; Roxana O' Carare; Srinivas R Sadda; Peter van Wijngaarden; Heather M Snyder
Journal:  Alzheimers Dement       Date:  2020-10-08       Impact factor: 21.566

9.  Individualized Glaucoma Change Detection Using Deep Learning Auto Encoder-Based Regions of Interest.

Authors:  Christopher Bowd; Akram Belghith; Mark Christopher; Michael H Goldbaum; Massimo A Fazio; Christopher A Girkin; Jeffrey M Liebmann; Carlos Gustavo de Moraes; Robert N Weinreb; Linda M Zangwill
Journal:  Transl Vis Sci Technol       Date:  2021-07-01       Impact factor: 3.048

10.  Retinal Nerve Fiber Layer Features Identified by Unsupervised Machine Learning on Optical Coherence Tomography Scans Predict Glaucoma Progression.

Authors:  Mark Christopher; Akram Belghith; Robert N Weinreb; Christopher Bowd; Michael H Goldbaum; Luke J Saunders; Felipe A Medeiros; Linda M Zangwill
Journal:  Invest Ophthalmol Vis Sci       Date:  2018-06-01       Impact factor: 4.799

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