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NCT05864976 | Recruiting | Glioblastoma Multiforme

Neurosurgical Neuronavigation Using Resting State MRI and Machine Learning
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.

Condition or disease

Glioblastoma Multiforme

Intervention/treatment

Support Vector Machine

Study Type : Observational
Estimated Enrollment : 100 participants
Official Title : Advancing Neurosurgical Neuronavigation Using Resting State MRI and Machine Learning - a Prospective Study
Actual Study Start Date : December 6, 2023
Estimated Primary Completion Date : January 31, 2030
Estimated Study Completion Date : January 31, 2030

Information not available for Arms and Intervention/treatment

Ages Eligible for Study: 18 Years
Sexes Eligible for Study: All
Accepts Healthy Volunteers: No
Criteria
Inclusion Criteria
  • Must be a new radiological diagnose of a lesion in the brain with characteristics consistent with glioblastoma multiforme. Diagnostic scan must have occurred no more than 1 month prior to enrollment.
  • Must be planning to undergo a clinical 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.
  • Previous surgery for a brain tumor.
  • Inability to have clinical follow-up (e.g., patient is out of town and will do follow-up elsewhere).
Neurosurgical Neuronavigation Using Resting State MRI and Machine Learning

Location Details

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Neurosurgical Neuronavigation Using Resting State MRI and Machine Learning

How to Participate

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Locations

Recruiting

United States, Missouri

Washington University School of Medicine

Saint Louis, missouri, United States, 63110