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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT03235856
Other study ID # ECR-AS-2017-12
Secondary ID
Status Completed
Phase
First received
Last updated
Start date September 1, 2017
Est. completion date December 31, 2018

Study information

Verified date November 2020
Source University Hospital, Antwerp
Contact n/a
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

The purpose of this study is to create a database of keratoconic eyes with two or more corneal topographies/tomographies, at least 5 months apart


Description:

Title: Keratometry values such as K1, K2 and the angle between these two; Value and location of the thinnest corneal point; Pachymetry progression (radial change of pachymetry); IS value (i.e., ratio of average curvature in superior and inferior sections) Description: The primary endpoint is to obtain a database, containing at least two valid corneal biometry measurements (Scheimpflug) recorded at least 5 months apart, for a predetermined number of suitable keratoconus patients. These data will be used to create a personalized three-dimensional model of the cornea at each time point, which permits classifying corneas according to shape and stage, as well as assessing the influence of patient age, gender, family history and ophthalmic habits (e.g. eye rubbing) on keratoconus progression. Based on corneal changes over time, an estimate of the underlying biomechanical changes will be made. All these data will then be combined to develop software for automated keratoconus detection and progression risk assessment to help ophthalmologists decide when to perform crosslinking on their patients. The primary variables are the elevation parameters derived directly from the Scheimpflug measuring device export files, along with the demographic and medical information (if available). Time frame: 5 months Once a predictive model for keratoconus progression speed based on multiple measurements, this can be improved to make predictions based on a single measurement. Furthermore, the database obtained in this work will also be a valuable resource to analyse the variation in keratoconus shape, which may lead to an improved classification of keratoconus types


Recruitment information / eligibility

Status Completed
Enrollment 972
Est. completion date December 31, 2018
Est. primary completion date December 31, 2018
Accepts healthy volunteers
Gender All
Age group 12 Years to 40 Years
Eligibility Inclusion Criteria: - Age between 12-40 years. - Clinically diagnosed mild or moderate keratoconus in one or both eyes - Two or more Scheimpflug measurements (type Pentacam HR, Pentacam AXL, Ziemer Galilei, CSO Sirius) of good technical quality, separated at least five months apart. Exclusion Criteria: - Corneal scarring present in both eyes. - Known corneal or retinal pathologies, apart from keratoconus - Known ocular procedures/ treatments (including crosslinking) - Known systemic diseases (e.g. diabetes, MS, HIV/AIDS, hypertension,…), except allergies - Change in contact lenses between measurements (e.g. start wearing lenses, change from corneal to scleral lenses, etc.) - Fluorescein drops instilled into the eye before Scheimpflug measurement.

Study Design


Related Conditions & MeSH terms


Locations

Country Name City State
Belgium Antwerp University Hospital Edegem

Sponsors (2)

Lead Sponsor Collaborator
University Hospital, Antwerp European Vision Institute Clinical Research Network

Country where clinical trial is conducted

Belgium, 

Outcome

Type Measure Description Time frame Safety issue
Primary To obtain a database, containing at least two valid corneal Scheimpflug measurements recorded at least 5 months apart, of 1500 keratoconus patients. These data will be used to create a personalized three-dimensional model of the cornea at each time point, which permits classifying corneas according to shape and stage, as well as assessing the influence of patient age, gender, family history and ophthalmic habits (e.g. eye rubbing) on keratoconus progression. Based on corneal changes over time, an estimate of the underlying biomechanical changes will be made. 5 months
Primary To develop software to automatically detect keratoconus and estimate the keratoconus progression speed The data from Outcome 1 will be combined to develop software for automated keratoconus detection and progression risk assessment to help ophthalmologists decide when to perform cross-linking on their patients. 18 months
Secondary To improve the predictive model for keratoconus progression speed so it can work using only one single measurement Once a predictive model for keratoconus progression speed based on multiple measurements, this can be improved to make predictions based on a single measurement. 18 months
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