MedPath

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
NameTimeMethod
Number of participants who are deemed as short-term survivor or a long-term survivorThrough 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
NameTimeMethod

Trial Locations

Locations (1)

Washington University School of Medicine

🇺🇸

Saint Louis, Missouri, United States

Washington University School of Medicine
🇺🇸Saint Louis, Missouri, United States
Dimitrios Mathios, M.D.
Principal Investigator
Joshua Shimony, M.D.
Sub Investigator
Milan Chheda, M.D.
Sub Investigator
Abraham Synder, M.D., Ph.D.
Sub Investigator
Patrick Luckett, Ph.D.
Sub Investigator
Feng Gao, Ph.D.
Sub Investigator
Eric Leuthardt, M.D.
Sub Investigator

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