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

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ClinicalTrials.gov Identifier: NCT04887909
Recruitment Status : Not yet recruiting
First Posted : May 14, 2021
Last Update Posted : May 14, 2021
Sponsor:
Information provided by (Responsible Party):
Second Affiliated Hospital, School of Medicine, Zhejiang University

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
Data Collecting

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Study Type : Observational
Estimated Enrollment : 1100 participants
Observational Model: Other
Time Perspective: Retrospective
Official Title: Prediction of Postoperative Visual Acuity in Cataract Patients Using a Macular Optical Coherence Tomography-based Deep Learning Method
Estimated Study Start Date : May 20, 2021
Estimated Primary Completion Date : December 31, 2026
Estimated Study Completion Date : December 31, 2026

Resource links provided by the National Library of Medicine

MedlinePlus related topics: Cataract




Primary Outcome Measures :
  1. Uncorrected distance visual acuity [ Time Frame: 1 month postoperatively ]
    The UCVA was measured by the same optometrist at each visit

  2. Best Corrected Visual Acuity [ Time Frame: 1 month postoperatively ]
    The BCVA was measured by the same optometrist at each visit

  3. Macular optical coherence tomography [ Time Frame: 1 month postoperatively ]
    Macular oct was measured by the same doctor at each visit



Information from the National Library of Medicine

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Ages Eligible for Study:   50 Years to 90 Years   (Adult, Older Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   Yes
Sampling Method:   Probability Sample
Study Population
Cataract surgery was performed in ophthalmic hospital affiliated to Medical College of Zhejiang University
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:

  • 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

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT04887909


Contacts
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Contact: Wen Xu +86-13858185223 xuwen2003@zju.edu.cn

Locations
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China
Second Affiliated Hospital, Zhejiang University School of Medicine
Hangzhou, China
Contact: Wen Xu         
Sponsors and Collaborators
Second Affiliated Hospital, School of Medicine, Zhejiang University
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Responsible Party: Second Affiliated Hospital, School of Medicine, Zhejiang University
ClinicalTrials.gov Identifier: NCT04887909    
Other Study ID Numbers: 2021-0496
First Posted: May 14, 2021    Key Record Dates
Last Update Posted: May 14, 2021
Last Verified: May 2021

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Studies a U.S. FDA-regulated Drug Product: No
Studies a U.S. FDA-regulated Device Product: No
Keywords provided by Second Affiliated Hospital, School of Medicine, Zhejiang University:
artificial intelligence
deep learning
cataract surgery
acuity vision
macular
optical coherence tomography
Additional relevant MeSH terms:
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Cataract
Lens Diseases
Eye Diseases