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Multi-center radiomics and deep learning for predicting molecular subtypes and prognosis, and unravelling imaging-biological connections in pediatric gliomas

Multi-center radiomics and deep learning for predicting molecular subtypes and prognosis, and unravelling imaging-biological connections in pediatric gliomas

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600123452
Enrollment
Unknown
Registered
2026-04-27
Start date
2026-04-30
Completion date
Unknown
Last updated
2026-05-04

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

Conditions

Pediatric gliomas

Interventions

Gold Standard:Diagnosis of pediatric gliomas confirmed according to the 2021 WHO Classification of Tumors of the Central Nervous System
Index test:Radiomics?Deep Learning

Sponsors

The First Affiliated Hospital of Fujian Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
No minimum to 19 Years

Inclusion criteria

Inclusion criteria: 1.Patients aged < 19 years; 2.Diagnosis of glioma confirmed according to the 2021 WHO Classification of Tumors of the Central Nervous System; 3.Preoperative conventional MRI examinations performed, including T1-weighted (T1W), T2-weighted (T2W), T2-fluid attenuated inversion recovery (T2-FLAIR), contrast-enhanced T1W, and diffusion-weighted imaging (DWI) sequences; 4.Interval between preoperative MRI and surgery < 2 weeks; 5.Complete postoperative pathological and molecular data available, including key molecular markers such as H3K27M mutation status, BRAF genetic alteration types (V600E mutation and KIAA1549-BRAF fusion), IDH mutation status, histone H3.3 G34 mutation status, and Ki-67 proliferation index;

Exclusion criteria

Exclusion criteria: 1.Poor quality of preoperative MR images; 2.Incomplete clinical or pathological data; 3.History of prior treatment (surgery, radiotherapy, or chemotherapy) before the preoperative MRI;

Design outcomes

Primary

MeasureTime frame
Radiomic score;Deep learning score;

Countries

China

Contacts

Public ContactDejun She

The First Affiliated Hospital of Fujian Medical University

shedejun@126.com+86 591 87981608

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: May 7, 2026