RecruitingNCT05864976

Neurosurgical Neuronavigation Using Resting State MRI and Machine Learning

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


Sponsor

Washington University School of Medicine

Enrollment

100 participants

Start Date

Dec 6, 2023

Study Type

OBSERVATIONAL

Conditions

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.


Eligibility

Min Age: 18 Years

Plain Language Summary

Simplified for easier understanding

This study tests whether resting-state MRI combined with machine learning (AI) can create better brain maps to guide neurosurgeons when removing glioblastoma brain tumors, helping them avoid important brain areas. **You may be eligible if...** - You are 18 years or older - You have a brain lesion on imaging that looks like glioblastoma (a very aggressive brain tumor) - You are scheduled to have a pre-operative MRI - You are able to understand and sign a consent form **You may NOT be eligible if...** - You cannot have an MRI (e.g., metal implants or other contraindications) - You will not be able to complete follow-up visits at this location Talk to your doctor to see if this trial is right for you.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

DEVICESupport Vector Machine

Machine learning algorithm


Locations(1)

Washington University School of Medicine

St Louis, Missouri, United States

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NCT05864976


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