Unveiling Preclinical Idiopathic Macular Hole Formation
NCT ID: NCT02180633
Last Updated: 2016-06-17
Study Results
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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COMPLETED
200 participants
OBSERVATIONAL
2013-05-31
2015-09-30
Brief Summary
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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.
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Detailed Description
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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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Study Design
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CASE_CONTROL
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
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
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).
Eligibility Criteria
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Inclusion Criteria
* fellow group: unilateral idiopathic macular hole
Exclusion Criteria
* 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
45 Years
80 Years
ALL
Yes
Sponsors
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University of Coimbra
OTHER
Responsible Party
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Rui Bernardes
Prof.
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
AIBILI - Association for Innovation and Biomedical Research on Light and Image
Coimbra, , Portugal
IBILI - Institute for Biomedical Imaging and Life Sciences
Coimbra, , Portugal
North Lisbon Hospital Center
Lisbon, , Portugal
St. Maria Hospital
Lisbon, , Portugal
St. Antonio Hospital
Porto, , Portugal
St. Joao Hospital
Porto, , Portugal
Countries
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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
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
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.
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.
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.
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.
Other Identifiers
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BBB-BMD/2739/2012
Identifier Type: -
Identifier Source: org_study_id
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