Prediction of Postoperative Visual Acuity in Cataract Patients Using a Macular Optical Coherence Tomography-based Deep Learning Method
Study Details
Study Description
Brief Summary
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.
Condition or Disease | Intervention/Treatment | Phase |
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Study Design
Outcome Measures
Primary Outcome Measures
- Uncorrected distance visual acuity [1 month postoperatively]
The UCVA was measured by the same optometrist at each visit
- Best Corrected Visual Acuity [1 month postoperatively]
The BCVA was measured by the same optometrist at each visit
- Macular optical coherence tomography [1 month postoperatively]
Macular oct was measured by the same doctor at each visit
Eligibility Criteria
Criteria
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:
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Glasses can obviously improve eyesight
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In addition to macular disease, combined with other eye diseases that seriously affect vision, resulting in no significant improvement in postoperative vision
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Complicated cataract surgery due to trauma and other reasons
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Combined with other eye diseases not suitable for intraocular lens implantation
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Patients with systemic diseases who cannot tolerate surgery
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
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1 | Second Affiliated Hospital, Zhejiang University School of Medicine | Hangzhou | China |
Sponsors and Collaborators
- Second Affiliated Hospital, School of Medicine, Zhejiang University
Investigators
None specified.Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- 2021-0496