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

Study Timeline

• Study First Submitted: 2023-05-08
• Study First Submitted QC: 2023-05-08
• Study First Posted: 2023-05-18
• Study Start: 2023-12-06
• Status Verified: 2025-06
• Last Update Submitted: 2025-06-19
• Last Update Posted: 2025-06-25
• Primary Completion: 2030-01-31
• Study Completion: 2030-01-31

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.

Trial Locations

Locations (1)

Washington University School of Medicine; 🇺🇸 Saint Louis, Missouri, United States