Medical Information Only. Always consult your healthcare provider before enrolling in any clinical trial.

NCT05864976 · ClinicalTrials.gov registry record

Neurosurgical Neuronavigation Using Resting State MRI and Machine Learning

A clinical trial of Glioblastoma Multiforme, sponsored by Washington University School of Medicine.

Recruiting
Registry status
100
Enrollment target
1
Study location

NCT05864976 is a study of Glioblastoma Multiforme that is actively recruiting participants, run by Washington University School of Medicine. The registered enrollment target is 100 participants, roughly in line with the 96-participant average among 88 other Glioblastoma Multiforme trials with a reported enrollment target. The trial reports 1 study location across 1 state.

View on ClinicalTrials.gov ↗

View your shortlist →

The verdict

NCT05864976, a study of Glioblastoma Multiforme, is actively recruiting participants, sponsored by Washington University School of Medicine.

RECRUITING
Registry status
100 participants
Enrollment target
1
Study location

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 Studied

Interventions

  • DEVICE Support Vector Machine

Study Locations (1)

Missouri

  • Washington University School of Medicine - St Louis

Trial Details

FieldValue
Enrollment Target 100 participants
Start Date 2023-12-06
Est. Completion 2030-01-31

What the Registry Record Tells You About NCT05864976

The ClinicalTrials.gov registry entry for NCT05864976 describes a study currently listed as recruiting, categorized as an unspecified phase. The registered enrollment target is 100 participants, a figure that helps gauge the scale of data the investigators plan to collect, roughly in line with the 96-participant average among 88 other Glioblastoma Multiforme trials with a reported enrollment target. The listed sponsor is Washington University School of Medicine, which has 1,502 total studies on file at ClinicalTrials.gov.

The record links to 1 condition, with Glioblastoma Multiforme appearing as the primary indexed condition, and to 1 intervention - of which Support Vector Machine is the first listed.

NCT05864976 reports 1 study location spanning 1 distinct geographic area - top geographies include Missouri.

Frequently Asked Questions

What is clinical trial NCT05864976 about?

NCT05864976 is a clinical study titled "Neurosurgical Neuronavigation Using Resting State MRI and Machine Learning". 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.

What is the current status of trial NCT05864976?

This trial is currently recruiting. The enrollment target is 100 participants. The study started on 2023-12-06. Estimated completion is 2030-01-31.

What conditions does trial NCT05864976 study?

This clinical trial studies the following conditions: Glioblastoma Multiforme.

What interventions are being tested in trial NCT05864976?

The interventions under investigation include: Support Vector Machine (DEVICE).

Who is sponsoring clinical trial NCT05864976?

This trial is sponsored by Washington University School of Medicine, which has 1,502 total clinical trials registered on ClinicalTrials.gov.

Where is trial NCT05864976 being conducted?

This trial has 1 study location across Missouri. Contact the study sites directly through ClinicalTrials.gov for enrollment availability.

Similar trials for Glioblastoma Multiforme

Matched on the same primary condition, ranked to surface studies in the same phase first, then by recruiting status, no relevance scoring or editorial curation.

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainTrial Editorial

Every figure on PlainTrial is rendered directly from the ClinicalTrials.gov registry, no number is typed in by an editor. This page mirrors this trial's own ClinicalTrials.gov registry record, live from the dataset. See our editorial standards & corrections policy, the methodology behind these numbers, or report a data error.