Predictive Performance of a Generative Model for Corneal Tomography After ICL Implantation
NCT ID: NCT07146737
Last Updated: 2025-08-28
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
818 participants
OBSERVATIONAL
2025-07-01
2028-12-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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OTHER
CROSS_SECTIONAL
Study Groups
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Eyes with ICL surgeries
Eyes with ICL surgeries which were performed by surgeons with experiences.
Corneal tomography generation model after ICL surgery
The ICL procedures collected would be assessed by the corneal tomography generation model. The performance of the model would be assessed, including accuracy,AUC, sensitivity and specificity.
Interventions
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Corneal tomography generation model after ICL surgery
The ICL procedures collected would be assessed by the corneal tomography generation model. The performance of the model would be assessed, including accuracy,AUC, sensitivity and specificity.
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria:(1) glaucoma-spectrum disorders or retinal vasculopathies, (2) prior corneal/intraocular surgery, (3) compromised corneal endothelium, (4) uncontrolled systemic diseases, and (5) pregnancy/lactation.
18 Years
45 Years
ALL
No
Sponsors
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Second Affiliated Hospital of Nanchang University
OTHER
Responsible Party
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Fu Gui
Associate research fellow; Attending physician
Locations
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The Second Affiliated Hospital of Nanchang University
Nanchang, Jiangxi, China
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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[2025] NO.(86)
Identifier Type: -
Identifier Source: org_study_id
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