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Development of an AI-based predictive model for orbital tumor differentiation and personalized surgical strategy

Development of an AI-based predictive model for orbital tumor differentiation and personalized surgical strategy

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600120815
Enrollment
Unknown
Registered
2026-03-20
Start date
2026-03-21
Completion date
Unknown
Last updated
2026-03-23

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

Conditions

Orbital tumour

Interventions

Observation group:N/A

Sponsors

The Eye Hospital of Wenzhou Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Retrospective cohort: Patients who were diagnosed with orbital tumors through histopathology or expert consultation of clinical imaging in our hospital and multiple cooperative centers' ophthalmology/departments of imaging from January 2007 to January 2026, and were over 18 years old. 2. Prospective cohort: Patients who were initially diagnosed with "orbital mass/orbital tumor" in our hospital and multiple cooperative centers' ophthalmology/departments of imaging after February 1, 2026, and were over 18 years old.

Exclusion criteria

Exclusion criteria: 1. Patients with missing imaging data. 2. Patients with missing clinical data.

Design outcomes

Primary

MeasureTime frame
Visual Acuity;—

Secondary

MeasureTime frame
Visual field;—

Countries

China

Contacts

Public ContactEnde Wu

The Eye Hospital of Wenzhou Medical University

247797652@qq.com+86 158 2563 4568

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Apr 3, 2026