A validated web-application (GFDC) for automatic classification of glaucomatous visual field defects using Hodapp-Parrish-Anderson criteria-Reference-Cited by-同舟云学术

A validated web-application (GFDC) for automatic classification of glaucomatous visual field defects using Hodapp-Parrish-Anderson criteria

Published:2023-10-03 Issue: Volume: Page:
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Author:

Thirunavukarasu Arun¹^ORCID,Jain Nikhil²,Sanghera Rohan³,Lattuada Federico⁴,Mahmood Shathar⁵,Economou Anna⁴,Yu Helmut²,Bourne Rupert⁶

Affiliation:

1. University of Oxford

2. Cambridge University Hospitals NHS Foundation Trust

3. Oxford University Hospitals NHS Foundation Trust

4. University of Cambridge

5. School of Clinical Medicine, University of Cambridge, Cambridge, UK

6. Anglia Ruskin University

Abstract

Abstract Subjectivity and ambiguity of visual field classification limits the accuracy and reliability of glaucoma diagnosis, prognostication, and management decisions. Standardised rules for classifying glaucomatous visual field defects exist, but these are labour-intensive and therefore impractical for day-to-day clinical work. Here a web-application (GFDC) for automatic application of Hodapp-Parrish-Anderson is presented and validated in a cross-sectional study. GFDC exhibits perfect accuracy in classifying mild, moderate, and severe glaucomatous field defects.

Publisher

Research Square Platform LLC

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