Clinical trial · Observational
The Predictive Value of MRI for Adult-type Diffuse Gliomas
The Prognostic Value of Preoperative Multi-model Diffusion MRI in Predicting Ki-67 Proliferation for Adult-type Diffuse Gliomas
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
The goal of this observational study is to learn about the diagnostic value of preoperative MRI examination for adult-type diffuse gliomas. The main question it aims to answer is: * Can preoperative MRI examination noninvasively predict genotype of gliomas? * Can preoperative MRI examination noninvasively predict the overall survival of gliomas? * Can preoperative MRI examination noninvasively predict Ki-67 proliferation status?
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Glioma | Glioma | ONTOLOGY_EXACT | 0.98 |
Interventions
Interventions (0)
Data not yet available
Design
Arms and outcomes
Arms (1)
- label
- Adult-type diffuse gliomas
- description
- Inclusion Criteria: 1. First diagnosis of glioma, with no preoperative radiotherapy or chemotherapy. 2. Underwent multiparametric MRI examination in our hospital before surgery. 3. Tumor resection or biopsy was performed within 3 weeks after MRI examination. 4. Pathological examination confirmed glioma. Exclusion Criteria: 1. Inability to cooperate during MRI examination, resulting in poor image quality that prevents image analysis. 2. Surgery or biopsy specimens were unqualified and could not be analyzed pathologically.
Primary outcomes (1)
- measure
- A model for predicting glioma grade and the status of prognosis-related molecular mutations, constructed using multiparametric MRI
- timeFrame
- Through study completion, an average of 7 years
- description
- The prognosis-related molecular mutation status, such as IDH mutation, is classified as dichotomous data. Mutations, deletions, or amplifications are categorized into the positive group and are denoted as 1; the absence of mutation, deletion, or amplification is categorized into the negative group and is denoted as 0.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * First diagnosis of glioma, with no preoperative radiotherapy or chemotherapy. * Underwent multiparametric MRI examination in our hospital before surgery. * Tumor resection or biopsy was performed within 3 weeks after MRI examination. * Pathological examination confirmed glioma. Exclusion Criteria: * Inability to cooperate during MRI examination, resulting in poor image quality that prevents image analysis. * Surgery or biopsy specimens were unqualified and could not be analyzed pathologically.
References
Publications (1)
- DERIVEDHuang Y, He S, Hu H, Ma H, Huang Z, Zeng S, Mazu L, Zhou W, Zhao C, Zhu N, Wu J, Liu Q, Yang Z, Wang W, Shen G, Zhang N, Chu J. Added prognostic value of histogram features from preoperative multi-modal diffusion MRI in predicting Ki-67 proliferation for adult-type diffuse gliomas. Quant Imaging Med Surg. 2025 Sep 1;15(9):8423-8439. doi: 10.21037/qims-2025-242. Epub 2025 Aug 19. PMID 40893487