Evidence map›Paper›PMID 37874439›Full record

Observational studyInternational ophthalmology2023

Repeatability and reliability of semi-automated anterior segment-optical coherence tomography imaging compared to manual analysis in normal and keratoconus eyes.

Anna N Lin, Isa S K Mohammed, Wuqaas M Munir, Saleha Z Munir, Snehaa Maripudi, Libby Wei, Janet L Alexander

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in International ophthalmology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Anna N LinDepartment of Neurology, University of Maryland, Baltimore, MD, USA.
Isa S K MohammedCole Eye Institute, Cleveland Clinic, Cleveland, OH, USA.
Wuqaas M MunirDepartment of Ophthalmology and Visual Sciences, University of Maryland Eye Associates, University of Maryland, Baltimore, MD, USA.
Saleha Z MunirDepartment of Ophthalmology and Visual Sciences, University of Maryland Eye Associates, University of Maryland, Baltimore, MD, USA.
Snehaa MaripudiDepartment of Ophthalmology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Libby WeiDepartment of Ophthalmology and Visual Sciences, University of Maryland Eye Associates, University of Maryland, Baltimore, MD, USA.
Janet L AlexanderDepartment of Ophthalmology and Visual Sciences, University of Maryland Eye Associates, University of Maryland, Baltimore, MD, USA. jalexander@som.umaryland.edu.

Funding

Identification of Anterior Segment Structural Biomarkers in Glaucoma Following Pediatric Cataract Using Ultrasound BiomicroscopyK23EY032525 · NEI · UNIVERSITY OF MARYLAND BALTIMORE · PI ALEXANDER, JANET LEATH · 2022 to 2024
$709k
Institute for Clinical and Translational Research, University of Maryland, Baltimore KL2TR003099National Center for Advancing Translational Sciences,United States IUL1TR003098NEI NIH HHS K23 EY032525School of Medicine, University of Maryland PRISM recipient
6 · The paper itself

Abstract

purposeTo assess the repeatability and reliability of semi-automated EyeMark Python program measurements compared to manual ImageJ image processing of anterior segment-optical coherence tomography (AS-OCT) structures in healthy and keratoconus eyes.

methodsHeidelberg AS-OCT was used to image 25 eyes from 14 healthy subjects and 25 eyes from 15 subjects with keratoconus between the ages of 20 and 80 years, collected prospectively, in this observational case-control study. Visual axis scan containing vertical fixation light beam was selected from the 15-line AS-OCT scan raster. Central corneal thickness (CCT), anterior corneal radius of curvature (ACRC), posterior corneal radius of curvature (PCRC), and truncated anterior vault (TAV) were measured using ImageJ software and the EyeMark Python program. MedCalc and R were used to calculate the intraclass correlation coefficient (ICC) and generate Bland-Altman plots (BAP).

resultsWhen comparing the measurements of CCT, ACRC, PCRC, and TAV between manual ImageJ analysis and the EyeMark Python program, ICC values were consistently greater than 0.9, indicating excellent agreement. BAPs comparing the ImageJ and Python measurements of anterior segment structures show no systematic proportional bias and the average differences were near zero and within 95% of the limits of agreement.

conclusionsSemi-automated tools may provide the necessary efficiency for point-of-care quantitative corneal analysis of raw AS-OCT images. The semi-automated EyeMark Python program offers a repeatable and reliable tool compared to manual ImageJ analysis for measuring anterior segment structures from AS-OCT images among individuals with keratoconus.

Indexed as

KeratoconusAdultAgedAged, 80 and overCase-Control StudiesCorneaHumansMiddle AgedReproducibility of ResultsTomography, Optical CoherenceYoung AdultAnterior segment optical coherence tomographyCorneal image analysisEyeMark PythonImageJKeratoconus

Identifiers

PMID37874439

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.