Clinical trial · Observational
Intraoperative Rapid Diagnosis of Glioma Based on Fusion of Magnetic Resonance and Ultrasound Imaging
Rapid Diagnosis of Molecular Biomarkers and Visualization of IDH Molecular Boundaries in Glioma Using Preoperative Magnetic Resonance Images, Intraoperative Ultrasound Signals and Intraoperative Ultrasound Images
- 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 aim of this observational study is to enable rapid diagnosis of molecular biomarkers in patients during surgery by medical imaging and artificial intelligence models, to help clinicians with strategies to maximize safe resection of gliomas. The main questions it aims to answer are: 1. To solve the current clinical shortcomings of intraoperative molecular diagnosis, which is time-consuming and complex, and enables rapid and automated molecular diagnosis of glioma, thus providing the possibility of personalized tumor resection plans. 2. To implement a neuro-navigation platform that combines preoperative magnetic resonance images, intraoperative ultrasound signals and intraoperative ultrasound images to address real-time molecular boundary visualisation and molecular diagnosis for glioma, providing an approach to improve glioma treatment. Participants will read an informed consent agreement before surgery and voluntarily decide whether or not to join the experimental group. they will undergo preoperative magnetic resonance imaging, intraoperative ultrasound, and postoperative genotype identification. Their imaging data, genotype data, clinical history data, and pathology data will be used for the experimental study. The data collection process will not interrupt the normal surgical process.
Conditions
Conditions (2)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Computer-Assisted Surgery | — | UNRESOLVED | — |
| Glioma, Malignant | Malignant Glioma | ALIAS | 0.90 |
Interventions
Interventions (0)
Data not yet available
Design
Arms and outcomes
Arms (1)
- label
- Patients undergoing glioma removal surgery
- description
- Patients will undergo magnetic resonance examination before surgery, followed by rapid ultrasound acquisition of the tumor section by the surgeon during surgery and the resection of the tumor tissue for cryopreservation. After surgery, the tissue sample will be used for genetic sequencing and mass spectrometry to obtain molecular information. The data involved in the overall surgical procedure will be saved and used in this observational study.
Primary outcomes (1)
- measure
- Accuracy rate, describing the number of correct people or correct regions predicted by the computer-aided algorithm as a proportion of the total sample.
- timeFrame
- End of study (24 weeks)
- description
- The accuracy rate has a value between 0 and 1, with higher values indicating a more reliable system.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
- Maximum age
- 80 Years
Show eligibility criteria text
Inclusion Criteria: * Age over 18 years old * Tumor in non-functional areas of the cerebral hemisphere. * Preoperative diagnosis of glioma. * Undergo glioma removal surgery. Exclusion Criteria: * Postoperative confirmation of non-glioma. * Magnetic resonance or ultrasound data not available.
References
Publications (1)
- DERIVEDXie X, Shen C, Zhang X, Wu G, Yang B, Qi Z, Tang Q, Wang Y, Ding H, Shi Z, Yu J. Rapid intraoperative multi-molecular diagnosis of glioma with ultrasound radio frequency signals and deep learning. EBioMedicine. 2023 Dec;98:104899. doi: 10.1016/j.ebiom.2023.104899. Epub 2023 Dec 2. PMID 38041959