Skip to content

Multimodal imaging prediction model for pathological grade of meningioma

Multimodal imaging prediction model for pathological grade of meningioma

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300070233
Enrollment
Unknown
Registered
2023-04-06
Start date
2023-04-10
Completion date
Unknown
Last updated
2023-06-04

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

Conditions

meningioma

Interventions

Model Building Group:No
Model validation group:N/A

Sponsors

Sun Yat-Sen University Cancer Center
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 70 Years

Inclusion criteria

Inclusion criteria: 1. Resection or biopsy of meningioma was performed, and the pathological diagnosis of meningioma was confirmed; 2. MRI examination was performed in the imaging department of Sun Yat-sen University Cancer Hospital before surgery; 3. The first MRI examination before treatment can be obtained; 4. Clinical characteristics are available, such as age, blood tests; 5. Pathological grading, tumor molecular features and prognosis can be obtained.

Exclusion criteria

Exclusion criteria: 1. The patient has received radiotherapy, chemotherapy or radiochemotherapy before the first scan or surgery; 2. The first image is patients with recurrent meningioma, not patients with meningioma; 3. The patient's pathological diagnosis is not clear; 4. Incomplete clinical data; 5. The patient refuses needle biopsy or is not suitable for surgery.

Design outcomes

Primary

MeasureTime frame
Pathological grade;Overall survival;Objective Response Rate;progression-free survival;Disease-free survival;time to progress;

Countries

China

Contacts

Public ContactLizhi Liu

Sun Yat-Sen University Cancer Center

liulizh@sysucc.org.cn+86 136 6052 8375

Outcome results

None listed

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