Evidence map›Paper›PMID 31766394›Full record

ArticleSensors (Basel, Switzerland)2019

Automatic Identification and Representation of the Cornea-Contact Lens Relationship Using AS-OCT Images.

Pablo Cabaleiro, Joaquim de Moura, Jorge Novo, Pablo Charlón, Marcos Ortega

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. 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. Review
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

5 authors.

Pablo CabaleiroCentro de investigación CITIC, Universidade da Coruña, 15071 A Coruña, Spain.
Joaquim de MouraCentro de investigación CITIC, Universidade da Coruña, 15071 A Coruña, Spain.ORCID 0000-0002-2050-3786
Jorge NovoCentro de investigación CITIC, Universidade da Coruña, 15071 A Coruña, Spain.ORCID 0000-0002-0125-3064
Pablo CharlónInstituto Oftalmológico Victoria de Rojas, 15009 A Coruña, Spain.ORCID 0000-0003-0124-7884
Marcos OrtegaCentro de investigación CITIC, Universidade da Coruña, 15071 A Coruña, Spain.ORCID 0000-0002-2798-0788

Funding

European Union (European Regional Development Fund-ERDF) and the Xunta de Galicia ED431C 2016-047European Union (European Regional Development Fund-ERDF) and the Xunta de Galicia ED431G/01Instituto de Salud Carlos III, Government of Spain and FEDER funds DTS18/00136Ministerio de Ciencia, Innovación y Universidades, Government of Spain DPI2015-69948-RMinisterio de Ciencia, Innovación y Universidades, Government of Spain RTI2018-095894-B-I00
6 · The paper itself

Abstract

The clinical study of the cornea-contact lens relationship is widely used in the process of adaptation of the scleral contact lens (SCL) to the ocular morphology of patients. In that sense, the measurement of the adjustment between the SCL and the cornea can be used to study the comfort or potential damage that the lens may produce in the eye. The current analysis procedure implies the manual inspection of optical coherence tomography of the anterior segment images (AS-OCT) by the clinical experts. This process presents several limitations such as the inability to obtain complex metrics, the inaccuracies of the manual measurements or the requirement of a time-consuming process by the expert in a tedious process, among others. This work proposes a fully-automatic methodology for the extraction of the areas of interest in the study of the cornea-contact lens relationship and the measurement of representative metrics that allow the clinicians to measure quantitatively the adjustment between the lens and the eye. In particular, three distance metrics are herein proposed: Vertical, normal to the tangent of the region of interest and by the nearest point. Moreover, the images are classified to characterize the analysis as belonging to the central cornea, peripheral cornea, limbus or sclera (regions where the inner layer of the lens has already joined the cornea). Finally, the methodology graphically presents the results of the identified segmentations using an intuitive visualization that facilitates the analysis and diagnosis of the patients by the clinical experts.

Indexed as

AutomationContact LensesCorneaDiagnostic Techniques, OphthalmologicalHumansScleraTomography, Optical Coherenceanterior segmentcomputer-aided diagnosiscontact lenscorneaoptical coherence tomography

Identifiers

PMID31766394
PMCPMC6929080

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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.