Neurosurgical Neuronavigation Using Resting State MRI and Machine Learning

Description

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.

Conditions

Glioblastoma Multiforme

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Study Overview

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Study Details

Study overview

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.

Advancing Neurosurgical Neuronavigation Using Resting State MRI and Machine Learning - a Prospective Study

Neurosurgical Neuronavigation Using Resting State MRI and Machine Learning

Condition
Glioblastoma Multiforme
Intervention / Treatment

-

Contacts and Locations

Saint Louis

Washington University School of Medicine, Saint Louis, Missouri, United States, 63110

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

For general information about clinical research, read Learn About Studies.

Eligibility 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.
  • * Contraindication to MRI.
  • * Inability to have clinical follow-up (e.g., patient is out of town and will do follow-up elsewhere).

Ages Eligible for Study

18 Years to

Sexes Eligible for Study

ALL

Accepts Healthy Volunteers

No

Collaborators and Investigators

Washington University School of Medicine,

Dimitrios Mathios, M.D., PRINCIPAL_INVESTIGATOR, Washington University School of Medicine

Study Record Dates

2030-01-31