Neurosurgical Neuronavigation Using Resting State MRI and Machine Learning

NCT05864976 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 100

Last updated 2025-06-25

No results posted yet for this study

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.

Conditions

Interventions

DEVICE

Support Vector Machine

Machine learning algorithm

Sponsors & Collaborators

  • National Cancer Institute (NCI)

    collaborator NIH
  • Washington University School of Medicine

    lead OTHER

Principal Investigators

  • Dimitrios Mathios, M.D. · Washington University School of Medicine

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-12-06
Primary Completion
2030-01-31
Completion
2030-01-31
FDA Device
Yes

Countries

  • United States

Study Locations

More Related Trials

Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05864976 on ClinicalTrials.gov