Study on the Diagnostic Efficacy of ICL Selection and Prediction Depth Model Based on Eye Images

Launched by SECOND AFFILIATED HOSPITAL OF NANCHANG UNIVERSITY · Oct 30, 2024

Keywords

ClinConnect Summary

This clinical trial is studying a new method using advanced computer technology, called a deep neural network, to help doctors choose the best implantable collamer lenses for people with myopia (nearsightedness). The goal is to see how well this technology can predict which lenses will work best for each patient. The study is currently looking for participants aged 18 to 45 years who have stable vision and meet certain health criteria.

To be eligible, you should have myopia with or without astigmatism, and your eye measurements must fall within specific ranges. If you decide to join the study, you can expect to undergo eye examinations and assessments to determine if you qualify. It’s important to know that individuals with certain eye conditions or those who have had specific eye surgeries may not be able to participate. Overall, this trial aims to improve how we select lenses to give patients better vision results.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • 1. Aged 18-45 years ;
• • 2. Myopia, with or without astigmatism, annual diopter change ≤ 0.50 D for 2 consecutive years ;
• • 3. Anterior chamber depth ≥ 2.80 mm ;
• • 4. Corneal endothelial cell count ≥ 2000 / mm2, stable cell morphology ;
• • 5. There were no other ocular diseases that significantly affected vision and / or systemic organic lesions that affected surgical recovery.
• Exclusion Criteria:
• • 1. There were no other ocular diseases that significantly affected vision and / or systemic organic lesions that affected surgical recovery;
• • 2. Have a history of corneal refractive surgery or intraocular surgery ;
• • 3. Corneal endothelial cell count is low ;
• • 4. Those with systemic diseases ;
• • 5. Lactating or pregnant women.