Literature DB >> 30114416

A Comparison between the Compass Fundus Perimeter and the Humphrey Field Analyzer.

Giovanni Montesano1, Susan R Bryan2, David P Crabb3, Paolo Fogagnolo4, Francesco Oddone5, Allison M McKendrick6, Andrew Turpin7, Paolo Lanzetta8, Andrea Perdicchi9, Chris A Johnson10, David F Garway-Heath11, Paolo Brusini12, Luca M Rossetti4.   

Abstract

PURPOSE: To evaluate relative diagnostic precision and test-retest variability of 2 devices, the Compass (CMP, CenterVue, Padova, Italy) fundus perimeter and the Humphrey Field Analyzer (HFA, Zeiss, Dublin, CA), in detecting glaucomatous optic neuropathy (GON).
DESIGN: Multicenter, cross-sectional, case-control study. PARTICIPANTS: We sequentially enrolled 499 patients with glaucoma and 444 normal subjects to analyze relative precision. A separate group of 44 patients with glaucoma and 54 normal subjects was analyzed to assess test-retest variability.
METHODS: One eye of recruited subjects was tested with the index tests: HFA (Swedish interactive thresholding algorithm [SITA] standard strategy) and CMP (Zippy Estimation by Sequential Testing [ZEST] strategy), 24-2 grid. The reference test for GON was specialist evaluation of fundus photographs or OCT, independent of the visual field (VF). For both devices, linear regression was used to calculate the sensitivity decrease with age in the normal group to compute pointwise total deviation (TD) values and mean deviation (MD). We derived 5% and 1% pointwise normative limits. The MD and the total number of TD values below 5% (TD 5%) or 1% (TD 1%) limits per field were used as classifiers. MAIN OUTCOME MEASURES: We used partial receiver operating characteristic (pROC) curves and partial area under the curve (pAUC) to compare the diagnostic precision of the devices. Pointwise mean absolute deviation and Bland-Altman plots for the mean sensitivity (MS) were computed to assess test-retest variability.
RESULTS: Retinal sensitivity was generally lower with CMP, with an average mean difference of 1.85±0.06 decibels (dB) (mean ± standard error, P < 0.001) in healthy subjects and 1.46±0.05 dB (mean ± standard error, P < 0.001) in patients with glaucoma. Both devices showed similar discriminative power. The MD metric had marginally better discrimination with CMP (pAUC difference ± standard error, 0.019±0.009, P = 0.035). The 95% limits of agreement for the MS were reduced by 13% in CMP compared with HFA in participants with glaucoma and by 49% in normal participants. Mean absolute deviation was similar, with no significant differences.
CONCLUSIONS: Relative diagnostic precision of the 2 devices is equivalent. Test-retest variability of MS for CMP was better than for HFA.
Copyright © 2018 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

Entities:  

Year:  2018        PMID: 30114416     DOI: 10.1016/j.ophtha.2018.08.010

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


  15 in total

1.  Evaluation of the microperimetry in eyes with cuticular drusen.

Authors:  Seung Wan Nam; Jung Hwa Lee; Zeeyoon Byun; Don-Il Ham; Mingui Kong
Journal:  Sci Rep       Date:  2022-10-20       Impact factor: 4.996

Review 2.  Understanding the role of microperimetry in glaucoma.

Authors:  Luca Scuderi; Irene Gattazzo; Alessandro de Paula; Clemente Maria Iodice; Federico Di Tizio; Andrea Perdicchi
Journal:  Int Ophthalmol       Date:  2022-01-30       Impact factor: 2.029

3.  Improving Visual Field Examination of the Macula Using Structural Information.

Authors:  Giovanni Montesano; Luca M Rossetti; Davide Allegrini; Mario R Romano; David P Crabb
Journal:  Transl Vis Sci Technol       Date:  2018-12-28       Impact factor: 3.283

4.  Microperimetry in Age-Related Macular Degeneration: An Evidence-Base for Pattern Deviation Probability Analysis in Microperimetry.

Authors:  Nicola K Cassels; John M Wild; Tom H Margrain; Chris Blyth; Victor Chong; Jennifer H Acton
Journal:  Transl Vis Sci Technol       Date:  2019-12-31       Impact factor: 3.283

5.  Evidence for Structural and Functional Damage of the Inner Retina in Diabetes With No Diabetic Retinopathy.

Authors:  Giovanni Montesano; Giovanni Ometto; Bethany E Higgins; Radha Das; Katie W Graham; Usha Chakravarthy; Bernadette McGuiness; Ian S Young; Frank Kee; David M Wright; David P Crabb; Ruth E Hogg
Journal:  Invest Ophthalmol Vis Sci       Date:  2021-03-01       Impact factor: 4.799

6.  Systematic and Random Mapping Errors in Structure - Function Analysis of the Macula.

Authors:  Giovanni Montesano; Luca M Rossetti; Davide Allegrini; Mario R Romano; David F Garway-Heath; David P Crabb
Journal:  Transl Vis Sci Technol       Date:  2021-02-05       Impact factor: 3.283

7.  UWHVF: A Real-World, Open Source Dataset of Perimetry Tests From the Humphrey Field Analyzer at the University of Washington.

Authors:  Giovanni Montesano; Andrew Chen; Randy Lu; Cecilia S Lee; Aaron Y Lee
Journal:  Transl Vis Sci Technol       Date:  2022-01-03       Impact factor: 3.048

Review 8.  Understanding Neurodegeneration from a Clinical and Therapeutic Perspective in Early Diabetic Retinopathy.

Authors:  Serena Fragiotta; Maria D Pinazo-Durán; Gianluca Scuderi
Journal:  Nutrients       Date:  2022-02-14       Impact factor: 5.717

9.  A Method for Reducing the Number of Presentations in Perimetric Test Procedures.

Authors:  Andrew Turpin; Allison M McKendrick
Journal:  Transl Vis Sci Technol       Date:  2022-04-01       Impact factor: 3.048

10.  Increased Depth, Reduced Extent, and Sharpened Edges of Visual Field Defects Measured by Compass Fundus Perimeter Compared to Humphrey Field Analyzer.

Authors:  Ping Liu; Bao N Nguyen; Andrew Turpin; Allison M McKendrick
Journal:  Transl Vis Sci Technol       Date:  2021-10-04       Impact factor: 3.283

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