Clinical trial · Interventional
Study on Radiogenomics Features Associated With Radiochemotherapy Sensitivity in 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 MRI data were collected from patients with gliomas before surgery, 2 weeks before initiating radiochemotherapy, 1 month after completing the radiotherapy (for lower-grade gliomas, LGG), or 4 and 10 months after completing the radiochemotherapy (for high-grade gliomas, HGG). Radiochemotherapy sensitivity labels were constructed based on the MRI images obtained before and after radiochemotherapy, following the RANO criteria. Radiomics features were extracted from preoperative MRI images and combined with transcriptomic information obtained from tumor tissue sequencing. This process allowed the construction of a radiogenomics model capable of predicting the response of gliomas to radiochemotherapy. In this prospective cohort study, we will recruit patients with gliomas who have undergone craniotomy and received postoperative radiotherapy or radiochemotherapy (in cases of LGG and HGG, respectively). MRI images of the same sequences will be collected at corresponding time points, and transcriptomic sequencing will be performed on tumor tissue obtained during surgery. The established model will be applied to predict radiochemotherapy sensitivity and compared with the 'true' radiochemotherapy sensitivity labels, which are constructed based on the RANO criteria, to evaluate the predictive performance of the model.
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 (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Assess the response glioma to radiochemotherapy using radiogenomics-based AI model | Diagnostic Test | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- type
- OTHER
- label
- Evaluate the response of patients with glioma to radiochemotherapy
- description
- The response of patients with glioma to radiochemotherapy will be assessed by the RANO criteria and the established radiogenomics-based artificial intellegent model.
- interventionNames
- Diagnostic Test: Assess the response glioma to radiochemotherapy using radiogenomics-based AI model
Primary outcomes (3)
- measure
- Sensitivity of the AI model in predicting radiochemotherapy respone
- timeFrame
- 1 month after radiotherapy (LGG); 4 and 10 months after radiochemotherapy (HGG)
- description
- Sensitivity = TP/(TP+FN)
- measure
- Specificity of the AI model in predicting radiochemotherapy respone
- timeFrame
- 1 month after radiotherapy (LGG); 4 and 10 months after radiochemotherapy (HGG)
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * Patients aged 18 or older * Histologically confirmed glioma * No history of other brain tumors or previous cranial surgeries * No history of preoperative radiotherapy or chemotherapy * Available preoperative, pre-radiotherapy(postoperatively), and post-radiotherapy magnetic resonance imaging (MRI) data Exclusion Criteria: * Those who do not meet any of the inclusion criteria
References
Publications (0)
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