Description Module
The Description Module contains narrative descriptions of the clinical trial, including a brief summary and detailed description. These descriptions provide important information about the study's purpose, methodology, and key details in language accessible to both researchers and the general public.
Description Module path is as follows:
Study -> Protocol Section -> Description Module
Description Module
Ignite Creation Date:
2025-12-24 @ 11:19 PM
Ignite Modification Date:
2025-12-24 @ 11:19 PM
NCT ID:
NCT03235856
Brief 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
Detailed 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
Study:
NCT03235856
Study Brief:
Protocol Section:
NCT03235856