Infiltration of Gadolinium Injection in Brain MR Scans Using Artificial Intelligence

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

Status

Completed

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT05235646

Enrollment

Registered

2022-02-11

Start date

2022-03-14

Completion date

2022-04-05

Last updated

2022-04-11

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Magnetic Resonance Imaging

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.

Interventions

None listed

Study design

Observational model

CASE_ONLY

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

Healthy volunteers

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

Design outcomes

Primary

Measure	Time frame	Description
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.

Countries

United States

Outcome results