RecruitingNot Applicable

Predictive Performance of a Generative Model for Corneal Tomography After ICL Implantation

China818 participantsStarted 2025-07-01

Plain-language summary

To evaluate the efficacy of a corneal tomography Imaging model in predicting postoperative vault based on preoperative corneal topography in Implantable Collamer Lens (ICL) surgery.

Who can participate

Age range18 Years – 45 Years

SexALL

See this in plain English?

AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

Inclusion Criteria:(1) stable myopia (≤0.50D/year change for 2 years), (2) ACD ≥2.80mm, (3) intact corneal endothelium (≥2000 cells/mm²), and (4) no confounding ocular/systemic conditions. 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.

What they're measuring

AUROC of convolutional neural network in predicting vault after ICL surgery

Timeframe: Day 7

Trial details

NCT IDNCT07146737

SponsorSecond Affiliated Hospital of Nanchang University

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2025-07-03

Contact for this trial

Fu F Gui

+8613879101919 564436578@qq.com

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