NCT06616506

Brief Summary

This study aims to establish a multi-center artificial intelligence model for the accurate calculation of intraocular lens and its clinical application in highly myopic cataract, so as to improve the accuracy of the prediction of postoperative diopter in highly myopic cataract patients.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
500,000

participants targeted

Target at P75+ for all trials

Timeline
117mo left

Started Jan 2016

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Progress52%
Jan 2016Dec 2035

Study Start

First participant enrolled

January 1, 2016

Completed
8.7 years until next milestone

First Submitted

Initial submission to the registry

September 25, 2024

Completed
2 days until next milestone

First Posted

Study publicly available on registry

September 27, 2024

Completed
6.3 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2030

Expected
5 years until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2035

Last Updated

December 3, 2024

Status Verified

November 1, 2024

Enrollment Period

15 years

First QC Date

September 25, 2024

Last Update Submit

November 27, 2024

Conditions

Keywords

highly myopic cataractartificial intelligencecataractbig data

Outcome Measures

Primary Outcomes (2)

  • a multi-center artificial intelligence model for the accurate calculation of intraocular lens and its clinical application in highly myopic cataract

    10 YEARS

  • a multi-center artificial intelligence model for the cataract grading and its clinical application in highly myopic cataract

    8 years

Secondary Outcomes (2)

  • a multi-center artificial intelligence model for the risk prediction of perioperative complications and its clinical application in highly myopic cataract

    10 years

  • a multi-center artificial intelligence model for the surgical outcome prediction and its clinical application in highly myopic cataract

    10 years

Study Arms (4)

Highly myopic cataract patients without fundus defects

Highly myopic cataract patients with fundus defects

Device: newly-invented AI model

Highly myopic cataract patients with fundus defects

Device: newly-invented AI model

Highly myopic cataract patients with lens grading of NC2-3

Device: newly-invented AI model

Highly myopic cataract patients with lens grading of NC4-5

Device: newly-invented AI model

Interventions

Apply newly-invented AI models to assist in determining surgical plans and outcome prediction.

Highly myopic cataract patients with fundus defectsHighly myopic cataract patients with lens grading of NC2-3Highly myopic cataract patients with lens grading of NC4-5Highly myopic cataract patients without fundus defects

Eligibility Criteria

Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

Prospective Cohort Study

You may qualify if:

  • Axial length ≥ 26 mm and patients with high myopia complicated by cataracts who visit our hospital.
  • Preoperative anterior segment photography and cataract severity assessment, along with fundus OCT examination, have been performed.
  • If surgical treatment is conducted, the postoperative follow-up period should be no less than 1 month.
  • There are no missing clinical data before and after the surgery.

You may not qualify if:

  • Patients who are unable to cooperate with the required examinations for this study.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Eye and ENT Hospital of Fudan University

Shanghai, Shanghai Municipality, 200031, China

RECRUITING

MeSH Terms

Conditions

CataractMyopiaRisk Reduction Behavior

Condition Hierarchy (Ancestors)

Lens DiseasesEye DiseasesRefractive ErrorsBehavior

Study Officials

  • XIANGJIA ZHU

    Eye & ENT Hospital of Fudan University

    STUDY CHAIR

Central Study Contacts

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

September 25, 2024

First Posted

September 27, 2024

Study Start

January 1, 2016

Primary Completion (Estimated)

December 31, 2030

Study Completion (Estimated)

December 31, 2035

Last Updated

December 3, 2024

Record last verified: 2024-11

Locations