Infiltration of Gadolinium Injection in Brain MR Scans Using Artificial Intelligence

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.

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Key information

Conditions

Magnetic Resonance Imaging

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Mayo Clinic Rochester

Rochester, Minnesota, 55905, United States

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

Primary outcomes

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

Time frame: 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.

Sponsors and collaborators

Lead sponsor

Mayo Clinic

Other

Registry information

Official study title

Detection of the Occurrence of Infiltration of Gadolinium Injection in Brain MR Scans Using Artificial Intelligence

Important dates

Study start: 2022
Primary completion: 2022
Study completion: 2022
First posted: Feb 11, 2022
Registry last updated: Apr 11, 2022

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.

Completed