Literature DB >> 8198159

The influence of patient reliability on visual field outcome.

M Lee1, M Zulauf, J Caprioli.   

Abstract

The reliability of subjects to perform to perimetry correctly should be carefully evaluated to interpret visual field examinations adequately. Clinicians generally agree that numerous false-positive responses to catch trials cause measured thresholds to be falsely high and numerous false-negative responses cause measured thresholds to be falsely low. We studied the effect of false-positive and false-negative responses on the outcome of visual field measurements. Of 47 eyes, the results of 106 stable glaucomatous visual field tests (Program G1, Octopus 201, Interzeag, Schlieren, Switzerland) with false-positive responses and no more than one false-negative response to catch trials were compared to the results of reliable visual field tests (no false-positive and no more than one false-negative response) performed on the same eye. Similarly, 60 stable visual fields with false-negative responses and no more than one false-positive response were used to study the effect of false-negative responses on visual field sensitivities. Linear regression analysis disclosed a mean sensitivity increase of 1.5 dB for every 10% of false-positive responses (r = .34, P = .000) and a mean sensitivity decrease of 1.2 dB for every 10% of false-negative responses (r = .26, P = .04). These results may be used to help reduce the magnitude of unexplained long-term fluctuation in visual field interpretation.

Entities:  

Mesh:

Year:  1994        PMID: 8198159     DOI: 10.1016/s0002-9394(14)70318-6

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


  7 in total

1.  Using lasers to image the retina. Interview by Judy Jones.

Authors:  J E Morgan
Journal:  BMJ       Date:  1999-11-13

2.  Evidence-Based Criteria for Determining Peripapillary OCT Reliability.

Authors:  Jithin Yohannan; Michael Cheng; Joseph Da; Sagar Chapagain; Ayodeji Sotimehin; Luke W Bonham; Aleksandra Mihailovic; Michael Boland; Pradeep Ramulu
Journal:  Ophthalmology       Date:  2019-08-29       Impact factor: 12.079

3.  Perimetric visual field and functional MRI correlation: implications for image-guided surgery in occipital brain tumours.

Authors:  F E Roux; D Ibarrola; J A Lotterie; F Chollet; I Berry
Journal:  J Neurol Neurosurg Psychiatry       Date:  2001-10       Impact factor: 10.154

4.  Evidence-based Criteria for Assessment of Visual Field Reliability.

Authors:  Jithin Yohannan; Jiangxia Wang; Jamie Brown; Balwantray C Chauhan; Michael V Boland; David S Friedman; Pradeep Y Ramulu
Journal:  Ophthalmology       Date:  2017-07-01       Impact factor: 12.079

5.  Characterization of Visual Function, Interocular Variability and Progression Using Static Perimetry-Derived Metrics in RPGR-Associated Retinopathy.

Authors:  James J L Tee; Yesa Yang; Angelos Kalitzeos; Andrew Webster; James Bainbridge; Richard G Weleber; Michel Michaelides
Journal:  Invest Ophthalmol Vis Sci       Date:  2018-05-01       Impact factor: 4.799

6.  A Structure-Related Fine-Grained Deep Learning System With Diversity Data for Universal Glaucoma Visual Field Grading.

Authors:  Xiaoling Huang; Kai Jin; Jiazhu Zhu; Ying Xue; Ke Si; Chun Zhang; Sukun Meng; Wei Gong; Juan Ye
Journal:  Front Med (Lausanne)       Date:  2022-03-17

7.  The Human Touch: Using a Webcam to Autonomously Monitor Compliance During Visual Field Assessments.

Authors:  Pete R Jones; Giorgia Demaria; Iris Tigchelaar; Daniel S Asfaw; David F Edgar; Peter Campbell; Tamsin Callaghan; David P Crabb
Journal:  Transl Vis Sci Technol       Date:  2020-07-20       Impact factor: 3.283

  7 in total

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