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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 : 2023-12-06
Estimated Primary Completion Date : 2030-01-31
Estimated Study Completion Date : 2030-01-31

Information not available for Arms and Intervention/treatment

Ages Eligible for Study: 18 Years
Sexes Eligible for Study: ALL
Accepts Healthy Volunteers:
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).
Neurosurgical Neuronavigation Using Resting State MRI and Machine Learning

Location Details

NCT05864976

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How to Participate

Want to participate in this study, select a site at your convenience, send yourself email to get contact details and prescreening steps.

Locations

RECRUITING

United States, Missouri

Washington University School of Medicine

St Louis, Missouri, United States, 63110