Infiltration of Gadolinium Injection in Brain MR Scans Using Artificial Intelligence

Completed

• Conditions: Magnetic Resonance Imaging

• Registration Number: NCT05235646
• Lead Sponsor: Mayo Clinic

Brief Summary

The purpose of this research is to develop machine learning algorithms to analyze images from brain MRI to confirm that contrast agent has been correctly administered.

Detailed Description

Not available

Study Timeline

• Study First Submitted: 2022-01-19
• Study First Submitted QC: 2022-02-08
• Study First Posted: 2022-02-11
• Study Start: 2022-03-14
• Status Verified: 2022-04
• Primary Completion: 2022-04-05
• Study Completion: 2022-04-05
• Last Update Submitted: 2022-04-08
• Last Update Posted: 2022-04-11

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 40

Inclusion Criteria

• Patients undergoing a MR brain without and with contrast examination on any GE or Siemens 1.5T and 3T MRI system within Mayo Clinic, Rochester, as part of their care plan.

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Exclusion Criteria

• None

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Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Detection of Infiltration of Gadolinium contrast agent into tissue and muscle using artificial intelligence model	2 months	Correct detection of the presence of infiltration of Gadolinium contrast agent into tissue and muscleusing an artificial intelligence model. This outcome will be determined by measuring the difference in signal enhancement in the nasal mucosa or the lack of signal enhancement within the nasal mucosa.

Trial Locations

Locations (1)

Mayo Clinic Rochester; 🇺🇸 Rochester, Minnesota, United States