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

N/ANot Yet RecruitingNCT04887909

Second Affiliated Hospital, Zhejiang University, School of Medicine1,100 enrolled

Overview

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.

Study Type

OBSERVATIONAL

Enrollment

1,100

Conditions

Data Collecting

Eligibility

Sex: ALLMin age: 50 YearsMax age: 90 YearsHealthy volunteers:

Medical Language ↔ Plain English

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

Locations (1)

Second Affiliated Hospital, Zhejiang University School of Medicine

Hangzhou, China

Outcomes

Primary Outcomes

Uncorrected distance visual acuity

The UCVA was measured by the same optometrist at each visit

Time frame: 1 month postoperatively

Best Corrected Visual Acuity

The BCVA was measured by the same optometrist at each visit

Time frame: 1 month postoperatively

Macular optical coherence tomography

Macular oct was measured by the same doctor at each visit

Time frame: 1 month postoperatively

Central Contacts

Wen Xu

CONTACT

+86-13858185223 xuwen2003@zju.edu.cn

Data from ClinicalTrials.gov

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