Evidence map›Paper›PMID 29240464›Full record

ArticleCurrent eye research2018

Analysis of Agreement of Retinal-Layer Thickness Measures Derived from the Segmentation of Horizontal and Vertical Spectralis OCT Macular Scans.

Natalia Gonzalez Caldito, Bhavna Antony, Yufan He, Andrew Lang, James Nguyen, Alissa Rothman, Esther Ogbuokiri, Ama Avornu, Laura Balcer, Elliot Frohman and 5 more

Abstract read
In one paragraph

Article in Current eye research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

15 authors.

Natalia Gonzalez Calditoa Department of Neurology , Johns Hopkins University School of Medicine , Baltimore , MD , USA.
Bhavna Antonyb Department of Electrical and Computer Engineering , Johns Hopkins University , Baltimore , MD , USA.
Yufan Heb Department of Electrical and Computer Engineering , Johns Hopkins University , Baltimore , MD , USA.
Andrew Langb Department of Electrical and Computer Engineering , Johns Hopkins University , Baltimore , MD , USA.
James Nguyena Department of Neurology , Johns Hopkins University School of Medicine , Baltimore , MD , USA.
Alissa Rothmana Department of Neurology , Johns Hopkins University School of Medicine , Baltimore , MD , USA.
Esther Ogbuokiria Department of Neurology , Johns Hopkins University School of Medicine , Baltimore , MD , USA.
Ama Avornua Department of Neurology , Johns Hopkins University School of Medicine , Baltimore , MD , USA.
Laura Balcerc Department of Neurology , New York University Langone Medical Center , New York , NY , USA.
Elliot Frohmand Department of Neurology and Ophthalmology , University of Texas Austin Dell Medical School , Austin TX , USA.
Teresa C Frohmand Department of Neurology and Ophthalmology , University of Texas Austin Dell Medical School , Austin TX , USA.
Pavan Bhargavaa Department of Neurology , Johns Hopkins University School of Medicine , Baltimore , MD , USA.
Jerry Princeb Department of Electrical and Computer Engineering , Johns Hopkins University , Baltimore , MD , USA.
Peter A Calabresia Department of Neurology , Johns Hopkins University School of Medicine , Baltimore , MD , USA.
Shiv Saidhaa Department of Neurology , Johns Hopkins University School of Medicine , Baltimore , MD , USA.

Funding

Imaging Neurodegeneration in Multiple SclerosisR01NS082347 · NINDS · JOHNS HOPKINS UNIVERSITY · PI PETER A CALABRESI, Shiv Saidha · 2013 to 2026
$7.0M
NINDS NIH HHS R01 NS082347
6 · The paper itself

Abstract

purposeOptical coherence tomography (OCT) is a reliable method used to quantify discrete layers of the retina. Spectralis OCT is a device used for this purpose. Spectralis OCT macular scan imaging acquisition can be obtained on either the horizontal or vertical plane. The vertical protocol has been proposed as favorable, due to postulated reduction in confound of Henle's fibers on segmentation-derived metrics. Yet, agreement of the segmentation measures of horizontal and vertical macular scans remains unexplored. Our aim was to determine this agreement. MATERIALS AND

methodsHorizontal and vertical macular scans on Spectralis OCT were acquired in 20 healthy controls (HCs) and 20 multiple sclerosis (MS) patients. All scans were segmented using Heidelberg software and a Johns Hopkins University (JHU)-developed method. Agreement was analyzed using Bland-Altman analyses and intra-class correlation coefficients (ICCs).

resultsUsing both segmentation techniques, mean differences (agreement at the cohort level) in the thicknesses of all macular layers derived from both acquisition protocols in MS patients and HCs were narrow (<1 µm), while the limits of agreement (LOA) (agreement at the individual level) were wider. Using JHU segmentation mean differences (and LOA) for the macular retinal nerve fiber layer (RNFL) and ganglion cell layer + inner plexiform layer (GCIP) in MS were 0.21 µm (-1.57-1.99 µm) and -0.36 µm (-1.44-1.37 µm), respectively.

conclusionsOCT segmentation measures of discrete retinal-layer thicknesses derived from both vertical and horizontal protocols on Spectralis OCT agree excellently at the cohort level (narrow mean differences), but only moderately at the individual level (wide LOA). This suggests patients scanned using either protocol should continue to be scanned with the same protocol. However, due to excellent agreement at the cohort level, measures derived from both acquisitions can be pooled for outcome purposes in clinical trials.

Indexed as

AdultFemaleHumansMacula LuteaMaleMultiple SclerosisNerve FibersRetinal DegenerationRetinal Ganglion CellsROC CurveTomography, Optical Coherenceanalysis of agreementmultiple sclerosis (MS)Optical coherence tomography (OCT)retinal layerssegmentation

Identifiers

PMID29240464
PMCPMC6097232

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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.