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Research on Intelligent Screening and Precise Diagnosis of Brain Tumors Based on Clinical and Imaging Big Data

Research on Intelligent Screening and Precise Diagnosis of Brain Tumors Based on Clinical and Imaging Big Data

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000035391
Enrollment
Unknown
Registered
2020-08-09
Start date
2020-09-01
Completion date
Unknown
Last updated
2020-08-10

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

Conditions

brain tumor

Interventions

Gold Standard:pathological results
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Sponsors

Huashan Hospital Fudan University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Aged 12-80 years old; 2. Brain tumor patients who have not been treated by radiotherapy or chemotherapy; 3. The tumor was resected with pathological and genetic results.

Exclusion criteria

Exclusion criteria: 1. Patients who are intolerant to MRI examinations, have claustrophobia, early pregnancy, metal implants in the body, and contrast agent allergy; 2. The patients were treated with radiotherapy and chemotherapy, but did not receive surgical resection; 3. No pathological results were found; 4. Combined with diseases that interfere with tumor imaging such as stroke; 5. The image quality is not up to standard.

Design outcomes

Primary

MeasureTime frame
Diagnostic accuracy;

Countries

China

Contacts

Public ContactDaoying Geng

Huashan Hospital, Fudan University

gengdy@163.com+86 13918539866

Outcome results

None listed

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