Infiltration of Gadolinium Injection in Brain MR Scans Using Artificial Intelligence

Mayo Clinic40 enrolled

Overview

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.

Study Type

OBSERVATIONAL

Enrollment

Conditions

Magnetic Resonance Imaging

Eligibility

Sex: ALLMin age: 18 Years

Medical Language ↔ Plain English

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. Exclusion Criteria: * None

Locations (1)

Mayo Clinic Rochester

Rochester, Minnesota, United States

Outcomes

Primary Outcomes

Detection of Infiltration of Gadolinium contrast agent into tissue and muscle using artificial intelligence model

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.

Time frame: 2 months

Data from ClinicalTrials.gov

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