Clinical Evaluation of Swedish Interactive Thresholding Algorithm-Faster Compared With Swedish Interactive Thresholding Algorithm-Standard in Normal Subjects, Glaucoma Suspects, and Patients With Glaucoma.


Journal

American journal of ophthalmology
ISSN: 1879-1891
Titre abrégé: Am J Ophthalmol
Pays: United States
ID NLM: 0370500

Informations de publication

Date de publication:
12 2019
Historique:
received: 22 02 2019
revised: 06 07 2019
accepted: 19 08 2019
pubmed: 31 8 2019
medline: 28 3 2020
entrez: 31 8 2019
Statut: ppublish

Résumé

To compare the visual fields results obtained using the Swedish interactive thresholding algorithm-Standard (SS) and the Swedish interactive thresholding algorithm-Faster (SFR) in normal subjects, glaucoma suspects, and patients with glaucoma and to quantify potential time-saving benefits of the SFR algorithm. Prospective, cross-sectional study. One randomly selected eye from 364 patients (77 normal subjects, 178 glaucoma suspects, and 109 patients with glaucoma) seen in a single institution underwent testing using both SS and SFR on the Humphrey Field Analyzer. Cumulative test time using each algorithm was compared after accounting for different rates of test reliability. Pointwise and cluster analysis was performed to determine whether there were systematic differences between algorithms. Using SFR had a greater rate of unreliable results (29.3%) compared with SS (7.7%, P < .0001). This was mainly because of high false positive rates and seeding point errors. However, modeled test times showed that using SFR could obtain a greater number of reliable results within a shorter period of time. SFR resulted in higher sensitivity values (on average 0.5 dB for patients with glaucoma) that was greater under conditions of field loss (<19 dB). Cluster analysis showed no systematic patterns of sensitivity differences between algorithms. After accounting for different rates of test reliability, SFR can result in significant time savings compared with SS. Clinicians should be cognizant of false positive rates and seeding point errors as common sources of error for SFR. Results between algorithms are not directly interchangeable, especially if there is a visual field deficit <19 dB.

Identifiants

pubmed: 31470001
pii: S0002-9394(19)30414-3
doi: 10.1016/j.ajo.2019.08.013
pii:
doi:

Types de publication

Comparative Study Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

251-264

Informations de copyright

Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

Jack Phu (J)

Centre for Eye Health, University of New South Wales, Kensington, New South Wales; School of Optometry and Vision Science, University of New South Wales, Kensington, New South Wales. Electronic address: jphu@cfeh.com.au.

Sieu K Khuu (SK)

School of Optometry and Vision Science, University of New South Wales, Kensington, New South Wales.

Ashish Agar (A)

Centre for Eye Health, University of New South Wales, Kensington, New South Wales; Department of Ophthalmology, Prince of Wales Hospital, Randwick, New South Wales.

Michael Kalloniatis (M)

Centre for Eye Health, University of New South Wales, Kensington, New South Wales; School of Optometry and Vision Science, University of New South Wales, Kensington, New South Wales.

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Classifications MeSH