Journal article
Archetypal Analysis Reveals Quantifiable Patterns of Visual Field Loss in Optic Neuritis
Translational vision science & technology, Vol.11(1), pp.27-27
01/03/2022
DOI: 10.1167/tvst.11.1.27
PMCID: PMC8787544
PMID: 35044445
Abstract
Identifying and monitoring visual field (VF) defects due to optic neuritis (ON) relies on qualitative clinician interpretation. Archetypal analysis (AA), a form of unsupervised machine learning, is used to quantify VF defects in glaucoma. We hypothesized that AA can identify quantifiable, ON-specific patterns (as archetypes [ATs]) of VF loss that resemble known ON VF defects.
We applied AA to a dataset of 3892 VFs prospectively collected from 456 eyes in the Optic Neuritis Treatment Trial (ONTT), and decomposed each VF into component ATs (total weight = 100%). AA of 568 VFs from 61 control eyes was used to define a minimum meaningful (≤7%) AT weight and weight change. We correlated baseline ON AT weights with global VF indices, visual acuity, and contrast sensitivity. For eyes with a dominant AT (weight ≥50%), we compared the ONTT VF classification with the AT pattern.
AA generated a set of 16 ATs containing patterns seen in the ONTT. These were distinct from control ATs. Baseline study eye VFs were decomposed into 2.9 ± 1.5 ATs. AT2, a global dysfunction pattern, had the highest mean weight at baseline (36%; 95% confidence interval, 33%-40%), and showed the strongest correlation with MD (r = -0.91; P < 0.001), visual acuity (r = 0.70; P < 0.001), and contrast sensitivity (r = -0.77; P < 0.001). Of 191 baseline VFs with a dominant AT, 81% matched the descriptive classifications.
AA identifies and quantifies archetypal, ON-specific patterns of VF loss.
AA is a quantitative, objective method for demonstrating and monitoring change in regional VF deficits in ON.
Details
- Title: Subtitle
- Archetypal Analysis Reveals Quantifiable Patterns of Visual Field Loss in Optic Neuritis
- Creators
- Elena Solli - Deptartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USAHiten Doshi - Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USATobias Elze - Schepens Eye Research Institute, Harvard Medical School, Boston, MA, USALouis Pasquale - Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, NY, USAMichael Wall - Departments of Neurology and Ophthalmology and Visual Sciences, University of Iowa, Iowa City, Iowa, USAMark Kupersmith - Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Resource Type
- Journal article
- Publication Details
- Translational vision science & technology, Vol.11(1), pp.27-27
- DOI
- 10.1167/tvst.11.1.27
- PMID
- 35044445
- PMCID
- PMC8787544
- NLM abbreviation
- Transl Vis Sci Technol
- ISSN
- 2164-2591
- Language
- English
- Date published
- 01/03/2022
- Academic Unit
- Neurology; Ophthalmology and Visual Sciences
- Record Identifier
- 9984210345002771
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