Literature DB >> 22137043

Glaucoma Progression Analysis software compared with expert consensus opinion in the detection of visual field progression in glaucoma.

Angelo P Tanna1, Donald L Budenz, Jagadeesh Bandi, William J Feuer, Robert M Feldman, Leon W Herndon, Douglas J Rhee, Julia Whiteside-de Vos, Joyce Huang, Douglas R Anderson.   

Abstract

PURPOSE: To compare the results of Glaucoma Progression Analysis (GPA, Carl Zeiss Meditec, Dublin, CA) to subjective expert consensus in the detection of glaucomatous visual field progression.
DESIGN: Retrospective, observational case series. PARTICIPANTS: We included 100 eyes of 83 glaucoma patients.
METHODS: Five serial Humphrey visual fields from 100 eyes of 83 glaucoma patients were evaluated by 5 masked glaucoma subspecialists for determination of progression. Four months later, with a randomly reordered patient sequence, the same visual field series were reevaluated by the same graders, at which time they had access to the Glaucoma Progression Analysis (GPA) printout. MAIN OUTCOME MEASURES: The level of agreement between majority expert consensus and GPA, both before and after access to GPA data, was assessed using kappa statistics.
RESULTS: On initial review and on reevaluation with access to the GPA printout, the level of agreement between majority expert consensus and GPA was fair (kappa = 0.52, 95% confidence interval [CI], 0.35-0.69 and kappa = 0.62; 95% CI, 0.46-0.78, respectively). Expert consensus was more likely to classify a series of fields as showing progression than was GPA (P ≤ 0.002). There was good agreement between expert consensus on initial review and reevaluation 4 months later (kappa = 0.77; 95% CI, 0.65-0.90).
CONCLUSIONS: The level of agreement between majority expert consensus of subjective determination of visual field progression and GPA is fair. In cases of disagreement with GPA, the expert consensus classification was usually progression. Access to the results of GPA did not significantly change the level of agreement between expert consensus and the GPA result; however, expert consensus did change in 11 of 100 cases. Copyright Â
© 2012 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

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Mesh:

Year:  2011        PMID: 22137043      PMCID: PMC3294135          DOI: 10.1016/j.ophtha.2011.08.041

Source DB:  PubMed          Journal:  Ophthalmology        ISSN: 0161-6420            Impact factor:   12.079


  26 in total

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4.  Variability of automated visual fields in clinically stable glaucoma patients.

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5.  Normal variability of static perimetric threshold values across the central visual field.

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8.  Measuring visual field progression in the Early Manifest Glaucoma Trial.

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9.  Effect of cataract on automated perimetry.

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10.  Reduction of intraocular pressure and glaucoma progression: results from the Early Manifest Glaucoma Trial.

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  13 in total

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5.  Point-wise variability of threshold sensitivity of 24-2 and 10-2 visual fields.

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Review 6.  Bioreducible polycations as shuttles for therapeutic nucleic acid and protein transfection.

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7.  Pointwise Methods to Measure Long-term Visual Field Progression in Glaucoma.

Authors:  Diana Salazar; Esteban Morales; Alessandro Rabiolo; Vicente Capistrano; Mark Lin; Abdelmonem A Afifi; Fei Yu; Kouros Nouri-Mahdavi; Joseph Caprioli
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8.  Comparison of Methods to Detect and Measure Glaucomatous Visual Field Progression.

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9.  Evaluation of a Qualitative Approach for Detecting Glaucomatous Progression Using Wide-Field Optical Coherence Tomography Scans.

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10.  An Artificial Intelligence Approach to Detect Visual Field Progression in Glaucoma Based on Spatial Pattern Analysis.

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Journal:  Invest Ophthalmol Vis Sci       Date:  2019-01-02       Impact factor: 4.799

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