RecruitingRecruiting
Neurosurgical Neuronavigation Using Resting State MRI and Machine Learning
NCT05864976 · Washington University School of Medicine
In plain English
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Official title
Advancing Neurosurgical Neuronavigation Using Resting State MRI and Machine Learning - a Prospective Study
About this study
This study is investigating the use of a computer algorithm to analyze scans of the brain before surgery to predict how a person's tumor will respond to treatment.
Eligibility 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).
Study design
Enrollment target: 100 participants
Age groups: adult, older_adult
Timeline
Starts: 2023-12-06
Estimated completion: 2030-01-31
Last updated: 2025-06-25
Interventions
Device: Support Vector Machine
Primary outcomes
- • Number of participants who are deemed as short-term survivor or a long-term survivor (Through completion of follow-up (estimated to be 2 years))
Sponsor
Washington University School of Medicine · other
With: National Cancer Institute (NCI)
Contacts & investigators
ContactDimitrios Mathios, M.D. · contact · mathios@wustl.edu · 314-747-6146
InvestigatorDimitrios Mathios, M.D. · principal_investigator, Washington University School of Medicine
All locations (1)
Washington University School of MedicineRecruiting
St Louis, Missouri, United States