Prediction of Postoperative Visual Acuity in Cataract Patients Using a Macular Optical Coherence Tomography-based Deep Learning Method

Zhejiang University

Status: Not yet enrolling

Conditions: Data Collecting

Study type: Observational

Funder types: Other

Identifiers

NCT04887909

2021-0496

Details and patient eligibility

About

The purpose of this study is to collect the macular OCT images and preoperative and postoperative visual acuity of cataract patients who had been operated in the eye center of the Second Affiliated Hospital of Zhejiang University Medical College, and to train a model that can relatively accurately predict the postoperative visual acuity of patients by deep learing.

Enrollment: 1,100 estimated patients

Sex: All

Ages: 50 to 90 years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• Senile cataract patients, with or without macular disease, the impact of cataract on vision has affected the daily life of patients.

Exclusion criteria

• Glasses can obviously improve eyesight
• In addition to macular disease, combined with other eye diseases that seriously affect vision, resulting in no significant improvement in postoperative vision
• Complicated cataract surgery due to trauma and other reasons
• Combined with other eye diseases not suitable for intraocular lens implantation
• Patients with systemic diseases who cannot tolerate surgery