Using MRI and machine learning to guide brain surgery for glioblastoma
Advancing Neurosurgical Neuronavigation Using Resting State MRI and Machine Learning - a Prospective Study
This study is testing if a computer program can use MRI scans to help doctors better plan surgery for patients with glioblastoma by predicting how the tumors will respond to treatment.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 100 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Washington University School of Medicine Academic / other |
| Locations | 1 site (St Louis, Missouri) |
| Trial ID | NCT05864976 on ClinicalTrials.gov |
What this trial studies
This study investigates the application of a computer algorithm that analyzes resting state MRI scans of the brain to predict the response of glioblastoma multiforme tumors to treatment. By utilizing machine learning techniques, the study aims to enhance neuronavigation during neurosurgery, potentially leading to improved surgical outcomes. Participants will undergo pre-operative MRI scans, and their data will be analyzed to develop predictive models for tumor behavior. The study is observational and focuses on patients diagnosed with glioblastoma who are preparing for surgery.
Who should consider this trial
Good fit: Ideal candidates for this study are adults aged 18 and older with a radiological diagnosis of glioblastoma multiforme who are scheduled for pre-operative MRI.
Not a fit: Patients who have contraindications to MRI or cannot ensure clinical follow-up will not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could lead to more precise surgical interventions and better treatment outcomes for patients with glioblastoma.
How similar studies have performed: While the use of machine learning in medical imaging is gaining traction, this specific approach to glioblastoma neuronavigation is relatively novel and has not been extensively tested in prior studies.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Must have a radiological diagnosis of a lesion in the brain with characteristics consistent with glioblastoma multiforme. * Must be planning to undergo a pre-operative MRI. * Must be at least 18 years old. * Must be able to understand and willing to sign an IRB approved written informed consent document. Exclusion Criteria: * Contraindication to MRI. * Inability to have clinical follow-up (e.g., patient is out of town and will do follow-up elsewhere).
Where this trial is running
St Louis, Missouri
- Washington University School of Medicine — St Louis, Missouri, United States (Recruiting)
Study contacts
- Principal investigator: Dimitrios Mathios, M.D. — Washington University School of Medicine
- Study coordinator: Dimitrios Mathios, M.D.
- Email: mathios@wustl.edu
- Phone: 314-747-6146
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.