Assessing the Utility of Reliability Indices for Automated Visual Fields

Stimulus Parameters for Multifocal Pupillographic Objective Perimetry

“…[43][44][45] Problems such as floppy iris syndrome may pose difficulties for mfPOP, however such conditions occur much less often than the rate at which patients currently fail perimetry examinations. [1][2][3][4] Overall, the present study indicates that mfPOP may be a viable adjunct to, or replacement for, SAP if further studies confirm the encouraging results seen here. The method may be of particular interest to neuro-ophthalmologists.…”

Patterns of functional vision loss in glaucoma determined with archetypal analysis

“…From an initial dataset of 31 591 VF measurements from 8077 patients, measured between October 2006 and April 2012, all VFs with a false-negative rate less than 20% and a fixation loss rate greater than 33% [23] rsif.royalsocietypublishing.org J. R. Soc. Interface 12: 20141118 same patient.…”

Unsupervised learning with independent component analysis can identify patterns of glaucomatous visual field defects

“…The study was approved by the Institutional Review Board of the University of California, San Diego, and it followed the tenets of the Declaration of Helsinki. Exclusion criteria for both groups included unreliable visual fields (defined as a value more than 33% for either fixation loss, falsenegative errors, or false-positive errors), 12 angle abnormalities on gonioscopy, diseases other than glaucoma that could affect the visual fields, and medications known to affect visual field sensitivity. Subjects with a best-corrected visual acuity worse than 20/40, spherical equivalent outside ±5.0 diopters, and cylinder correction greater than 3.0 diopters were excluded.…”