Unveiling Preclinical Idiopathic Macular Hole Formation

NCT ID: NCT02180633

Last Updated: 2016-06-17

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

200 participants

Study Classification

OBSERVATIONAL

Study Start Date

2013-05-31

Study Completion Date

2015-09-30

Brief Summary

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A macular hole is a rupture in the macula. In terms of pathogenesis, as much as 80% are idiopathic (Idiopathic Macular Hole, IMH). The normal incidence of this condition is about 0.17%; however, there is a 10-29% chance of development of a macular hole in the fellow eye of patients suffering from unilateral macular hole.

Our hypothesis is that embedded in the topography of the retina is information that can allow for discrimination between healthy eyes and eyes with an increased risk of developing IMH. As such, our work aims to develop a system that allows the automatic identification of these eyes.

Detailed Description

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A macular hole is a rupture in the macula, the central portion of the retina, responsible for sharp, central vision and hence indispensable for most tasks. In terms of pathogenesis, even though some can be related to trauma, as much as 80% are idiopathic (Idiopathic Macular Hole, IMH). It is theorized that antero-posterior and tangential forces are behind this condition; however, no conclusions have been reached. While the normal incidence of this condition is about 0.17%, there is a 10-29% chance of developing a macular hole in the fellow eye of patients suffering from unilateral macular hole.

Our working hypothesis is that embedded in the topography of the retina is information that can allow for discrimination between healthy eyes and eyes with an increased risk of developing IMH. As such, our study consists on the characterisation of the retinal topography of fellow eyes of patients with unilateral IMH but no other visible retinal pathologies, and of eyes from controls subjects in the same approximate age group. From these topographic maps we acquire a series of features (parameters), and using machine learning techniques create a system that separates eyes into one of the groups - healthy or at risk.

Conditions

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Idiopathic Macular Hole

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

CROSS_SECTIONAL

Study Groups

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Fellow Eyes

Patients that suffer from unilateral idiopathic macular hole, and whose fellow eyes don't show any sign of retinal pathology.

Optical Coherence Tomography Scan

Intervention Type OTHER

As an observational study, the only interventive action taken is the acquisition of a non-invasive volumetric image of the retina via optical coherence tomography (OCT).

Controls

Healthy subjects age-matched to the other group, with no visible retinal pathologies.

Optical Coherence Tomography Scan

Intervention Type OTHER

As an observational study, the only interventive action taken is the acquisition of a non-invasive volumetric image of the retina via optical coherence tomography (OCT).

Interventions

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Optical Coherence Tomography Scan

As an observational study, the only interventive action taken is the acquisition of a non-invasive volumetric image of the retina via optical coherence tomography (OCT).

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* normal OCT, with or without vitreous adhesion
* fellow group: unilateral idiopathic macular hole

Exclusion Criteria

* OCT with vitreous adhesion
* lamellar or pseudoholes
* inner retinal surface alterations
* myopia(\>4D)
* glaucoma
* significative media opacity
* previous retina photocoagulation
* any type of intraocular surgery in the last 6 months
* intravitreal medication
* diabetes or neurodegenerative diseases
* macular hole secondary to trauma
Minimum Eligible Age

45 Years

Maximum Eligible Age

80 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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University of Coimbra

OTHER

Sponsor Role lead

Responsible Party

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Rui Bernardes

Prof.

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Rui Bernardes, Ph.D.

Role: PRINCIPAL_INVESTIGATOR

Institute for Biomedical Imaging and Life Sciences, Faculty of Medicine, University of Coimbra

Locations

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Braga Hospital

Braga, , Portugal

Site Status

AIBILI - Association for Innovation and Biomedical Research on Light and Image

Coimbra, , Portugal

Site Status

IBILI - Institute for Biomedical Imaging and Life Sciences

Coimbra, , Portugal

Site Status

North Lisbon Hospital Center

Lisbon, , Portugal

Site Status

St. Maria Hospital

Lisbon, , Portugal

Site Status

St. Antonio Hospital

Porto, , Portugal

Site Status

St. Joao Hospital

Porto, , Portugal

Site Status

Countries

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Portugal

References

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H. Pereira; M. Alfaiate; T. Santos; L. Pedrosa; M. Mendes; R. Venâncio; J. Figueira; R. Bernardes: Identification of Eyes at Risk of Developing Idiopathic Macular Holes by Support Vector Machines. IBILI Meeting 2011, December 2011

Reference Type RESULT

P. Rodrigues; T. Santos; H. Pereira; J. Figueira; R. Bernardes: Identification of Eyes at Risk of Developing Idiopathic Macular Holes by Support Vector Machines. DOI: 10.1109/ENBENG.2012.6331372

Reference Type RESULT

J. Figueira; H. Pereira; M. Alfaiate; A. R. Santos; T. Santos; L. Pedrosa; M. Mendes; R. Venâncio; R. Bernardes: Identification of Eyes at Risk of Developing Idiopathic Macular Holes by Support Vector Machines. ARVO Annual Meeting 2012. Invest Ophthalmol Vis Sci 2012;53: E-Abstract 5219.

Reference Type RESULT

A. S. Silva, T. Santos, S. Simão, J. Figueira, R. Bernardes: Unveiling preclinical idiopathic macular hole formation: structural changes by high-definition OCT and machine learning. V Annual meeting of IBILI, Coimbra, Portugal, December 12-13 2013.

Reference Type RESULT

Figueira, João; Silva, Ana S. C; Meireles, Angelina; Gomes, Nuno; Ferreira, Natália; Neves, Carlos; Bernardes, Rui. Identificação de Olhos em Risco de Desenvolvimento de Buracos Maculares Idiopáticos (BMI). 56th Congress of the Portuguese Ophthalmology Society. 2013.

Reference Type RESULT

Silva, Ana S. C; Figueira, João; Simão, Sílvia; Gomes, Nuno; Neves, Carlos; Meireles, Angelina; Ferreira, Natália; Bernardes, Rui. 2014. Unveiling Preclinical Idiopathic Macular Hole Formation Using Support Vector Machines, Proceedings of the Biomedical and Health Informatics International Conference, IEEE - EMB Chapter, 2014.

Reference Type RESULT

Other Identifiers

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BBB-BMD/2739/2012

Identifier Type: -

Identifier Source: org_study_id

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