Status:
ACTIVE_NOT_RECRUITING
Detection of Keratoconus Progression Using Machine Learning
Lead Sponsor:
Vienna Institute for Research in Ocular Surgery
Conditions:
Keratoconus
Machine Learning
Eligibility:
All Genders
Brief Summary
Keratoconus (KC) is a bilateral ocular disease characterized by progressive thinning and steepening of the cornea, usually in its inferotemporal region. The disease often occurs asymmetrically as one ...
Eligibility Criteria
Inclusion
- Patients with KC progression as defined dependent on Kmax/year:
- o
- Kmax \< 48 Dioptres (D): \>0.5 D per year o
- Kmax 48.01-53 D: \>0.6 D per year o
- Kmax 53.01-58 D: \>0.8 D per year o
- Kmax \> 58 D: \>1.5 D per year - Non progressive group: Patients with stable KC (KC progression dependent on Kmax \< than the values described above/year)
Exclusion
- Relevant other ophthalmic diseases that are likely to influence the measurement outcome like corneal scars or epithelial dystrophies
- Too few measurements/too short follow-up to define progression of KC
Key Trial Info
Start Date :
December 2 2024
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
May 1 2025
Estimated Enrollment :
200 Patients enrolled
Trial Details
Trial ID
NCT06873399
Start Date
December 2 2024
End Date
May 1 2025
Last Update
March 12 2025
Active Locations (1)
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1
Vienna Institute for Research in Ocular Surgery (VIROS)
Vienna, Vienna, Austria, 1140