Neurosurgical Neuronavigation Using Resting State MRI and Machine Learning

Purpose

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

  • Glioblastoma Multiforme

Eligibility

Eligible Ages
Over 18 Years
Eligible Sex
All
Accepts Healthy Volunteers
No

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

Phase
Study Type
Observational
Observational Model
Cohort
Time Perspective
Prospective

Arm Groups

ArmDescriptionAssigned Intervention
Standard of care rsfMRI using the Support Vector Machine algorithm - Once enrolled, clinical pre-surgical MRI will be done on Siemens 3T Prisma or Skyra scanners using a standard pre-surgical tumor protocol. Resting-state functional MRI (rsfMRI) will be acquired. The Support Vector Machine (SVM) algorithm will be used on this pre-surgical MRI. - Patients will undergo post-operative MRI at approximately 8-12 weeks following surgical resection to evaluate extent of resection. Patients will then undergo subsequent MRI imaging every 2-3 months as part of routine clinical care to monitor for recurrence. The following MR sequences will be acquired: pre-and post-contrast T1-weighted, T2-weighted FLAIR, diffusion weighted imaging. MRI scans will be reviewed by a board-certified neuroradiologist to determine date of radiographic progression/recurrence. Imaging features at recurrence including location, multifocality, and presence of diffuse or distant recurrence will also be recorded.
  • Device: Support Vector Machine
    Machine learning algorithm

Recruiting Locations

Washington University in St. Louis and nearby locations

Washington University School of Medicine
St Louis 4407066, Missouri 4398678 63110
Contact:
Dimitrios Mathios, M.D.
314-747-6146
mathios@wustl.edu

More Details

NCT ID
NCT05864976
Status
Recruiting
Sponsor
Washington University School of Medicine

Study Contact

Dimitrios Mathios, M.D.
314-747-6146
mathios@wustl.edu