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Application of deep learning network based on wide field fundus imaging in the clinical diagnosis and treatment of retinoblastoma

Application of deep learning network based on wide-field fundus imaging in the clinical diagnosis and treatment of retinoblastoma

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500098086
Enrollment
Unknown
Registered
2025-03-03
Start date
2023-07-01
Completion date
Unknown
Last updated
2025-03-10

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Retinoblastoma

Interventions

Trial group:No

Sponsors

Shenzhen Eye Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Gender and age are not limited; 2. Confirmed diagnosis of retinoblastoma; 3. No combination of diseases.

Exclusion criteria

Exclusion criteria: 1. The diagnosis is unclear; 2. Combined with other eye diseases; 3. Patients who have undergone eye surgery unrelated to retinoblastoma treatment (such as myopia correction should be excluded, and postoperative patients related to retinoblastoma treatment such as laser and chemotherapy can be included); 4. Patients who have suffered eye trauma such as penetration, severe chemical injury, heat burn, and so on.

Design outcomes

Primary

MeasureTime frame
Accuracy;precision;sensitivity;—

Secondary

MeasureTime frame
F1 value;AUC;kappa coefficient;T-SNE plot;confusion matrix;ROC curve;Postoperative recurrence rate;Mortality rate;Postoperative examination results of ocular structure;visual acuity;—

Countries

China

Contacts

Public ContactGuoming Zhang

Shenzhen Eye Hospital

zhang-guoming@163.com+86 13823509060

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026