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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RECRUITING
700 participants
OBSERVATIONAL
2018-03-12
2030-12-31
Brief Summary
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Detailed Description
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Parameters being analyzed are:
Age, sex, refraction, family history, known duration of ectasia, previous ocular surgery, systemic diseases, systemic and topical medication;
biomicroscopy, anterior optical coherence tomography (OCT), Scheimpflug-based tomography (Pentacam), Biomechanical assessment (Ocular Response Analyzer and Corneal Visualization with the Scheimpflug Technology), optical biometry, confocal microscopy, endothelium cell count.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Ectasia
Keratoconus, Keratoconus suspects
corneal cross-linking
UV-A Irradiation and riboflavin
corneal topography and tomography
Detailed Information about corneal tomography is used for diagnosis
Interventions
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corneal cross-linking
UV-A Irradiation and riboflavin
corneal topography and tomography
Detailed Information about corneal tomography is used for diagnosis
Eligibility Criteria
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Inclusion Criteria
* corneal ectasia
Exclusion Criteria
* age under 18 years
18 Years
65 Years
ALL
No
Sponsors
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Technische Universität Dresden
OTHER
Responsible Party
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Principal Investigators
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Frederik Raiskup, MD, PhD
Role: STUDY_DIRECTOR
Department of Ophthalmology; Medical Faculty Carl Gustav Carus, Techinal University Dresden
Locations
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Department of Ophthalmology; Medical Faculty Carl Gustav Carus; Technical University Dresden
Dresden, Saxony, Germany
Countries
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Central Contacts
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Janine Lenk, MD
Role: CONTACT
Facility Contacts
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References
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Herber R, Lenk J, Pillunat LE, Raiskup F. Comparison of corneal tomography using a novel swept-source optical coherence tomographer and rotating Scheimpflug system in normal and keratoconus eyes: repeatability and agreement analysis. Eye Vis (Lond). 2022 May 23;9(1):19. doi: 10.1186/s40662-022-00290-6.
Herber R, Pillunat LE, Raiskup F. Development of a classification system based on corneal biomechanical properties using artificial intelligence predicting keratoconus severity. Eye Vis (Lond). 2021 Jun 1;8(1):21. doi: 10.1186/s40662-021-00244-4.
Other Identifiers
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EK 104032018
Identifier Type: -
Identifier Source: org_study_id
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