Evidence map›Paper›PMID 35289836›Full record

ArticleTranslational vision science & technology2022

The OCT RNFL Probability Map and Artifacts Resembling Glaucomatous Damage.

Sol La Bruna, Anvit Rai, Grace Mao, Jennifer Kerr, Heer Amin, Zane Z Zemborain, Ari Leshno, Emmanouil Tsamis, Carlos Gustavo De Moraes, Donald C Hood

Abstract read
In one paragraph

Article in Translational vision science & technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Predicting perimetric defects from en face maps of retinal nerve fibre layer reflectance.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2024
    Article
  3. Article
  4. A Model of Progression to Help Identify Macular Damage Due to Glaucoma.Investigative ophthalmology & visual science · 2023
    Article
  5. Article
  6. Article
  7. Within-eye and between-subject variability for reflectance of the retinal nerve fibre layer.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Sol La BrunaDepartment of Psychology, Columbia University, New York, NY, USA.
Anvit RaiDepartment of Psychology, Columbia University, New York, NY, USA.
Grace MaoDepartment of Psychology, Columbia University, New York, NY, USA.
Jennifer KerrDepartment of Psychology, Columbia University, New York, NY, USA.
Heer AminDepartment of Psychology, Columbia University, New York, NY, USA.
Zane Z ZemborainDepartment of Psychology, Columbia University, New York, NY, USA.
Ari LeshnoBernard and Shirlee Brown Glaucoma Research Laboratory, Department of Ophthalmology, Columbia University Irving Medical Center, New York, NY, USA.
Emmanouil TsamisDepartment of Psychology, Columbia University, New York, NY, USA.
Carlos Gustavo De MoraesBernard and Shirlee Brown Glaucoma Research Laboratory, Department of Ophthalmology, Columbia University Irving Medical Center, New York, NY, USA.
Donald C HoodDepartment of Psychology, Columbia University, New York, NY, USA.

Funding

Tests of Models of Retinal/Optic Nerve Diseases&AdaptionR01EY002115 · NEI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI HOOD, DONALD C. · 1985 to 2018
$7.4M
Structural and Functional Progression of Glaucomatous Damage to the MaculaR01EY025253 · NEI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DE MORAES, CARLOS GUSTAVO · 2015 to 2017
$1.2M
Development, validation and assessment of an automated, topographic structure-function approach to the detection of glaucoma and its progressionK99EY032182 · NEI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI TSAMIS, EMMANOUIL · 2021 to 2022
$261k
NEI NIH HHS K99 EY032182NEI NIH HHS R01 EY002115NEI NIH HHS R01 EY025253
6 · The paper itself

Abstract

Purpose: The purpose of this study was to improve the diagnostic ability of the optical coherence tomography (OCT) retinal nerve fiber layer (RNFL) probability (p-) map by understanding the frequency and pattern of artifacts seen on the p-maps of healthy control (HC) eyes resembling glaucomatous damage. Methods: RNFL p-maps were generated from wide-field OCT cube scans of 2 groups of HC eyes, 200 from a commercial normative group (HC-norm) and 54 from a prospective study group, as well as from 62 patient eyes, which included 32 with early glaucoma (EG). These 32 EG eyes had 24-2 mean deviation (MD) better than -6 dB and perimetric glaucoma as defined by 24-2 and 10-2 criteria. For the HC groups, "glaucoma-like" arcuates were defined as any red region near the temporal half of the disc. Results: Seven percent of the 200 HC-norm and 11% of the 54 HC RNFL p-maps satisfied the definition of "glaucoma-like," as did all the patients' p-maps. The HC p-maps showed two general patterns of abnormal regions, "arcuate" and "temporal quadrant," and these patterns resembled those seen on some of the RNFL p-maps of the EG eyes. A "vertical midline" rule, which required the abnormal region to cross the vertical midline through the fovea, had a specificity of >99%, and a sensitivity of 75% for EG and 93% for moderate to advanced eyes. Conclusions: Glaucoma-like artifacts on RNFL p-maps are relatively common and can masquerade as arcuate and/or widespread/temporal damage. Translational Relevance: A vertical midline rule had excellent specificity. However, other OCT information is necessary to obtain high sensitivity, especially in eyes with early glaucoma.

Indexed as

GlaucomaTomography, Optical CoherenceArtifactsCross-Sectional StudiesHumansIntraocular PressureNerve FibersProbabilityProspective StudiesRetinal Ganglion Cells

Identifiers

PMID35289836
PMCPMC8934545

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.