Neurosurgical Neuronavigation Using Resting State MRI and Machine Learning
Recruiting
- Conditions
- Glioblastoma Multiforme
- Registration Number
- NCT05864976
- Lead Sponsor
- Washington University School of Medicine
- Brief Summary
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.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 100
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
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method 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) -Patients will be deemed as a short-term survivor or a long-term survivor and this will be defined as overall survival as less than or greater than 14.5 months, respectively.
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Washington University School of Medicine
🇺🇸Saint Louis, Missouri, United States
Washington University School of Medicine🇺🇸Saint Louis, Missouri, United StatesDimitrios Mathios, M.D.Principal InvestigatorJoshua Shimony, M.D.Sub InvestigatorMilan Chheda, M.D.Sub InvestigatorAbraham Synder, M.D., Ph.D.Sub InvestigatorPatrick Luckett, Ph.D.Sub InvestigatorFeng Gao, Ph.D.Sub InvestigatorEric Leuthardt, M.D.Sub Investigator