Magnetic Resonance Imaging Clinical Trial
Official title:
Detection of the Occurrence of Infiltration of Gadolinium Injection in Brain MR Scans Using Artificial Intelligence
NCT number | NCT05235646 |
Other study ID # | 21-010301 |
Secondary ID | |
Status | Completed |
Phase | |
First received | |
Last updated | |
Start date | March 14, 2022 |
Est. completion date | April 5, 2022 |
Verified date | April 2022 |
Source | Mayo Clinic |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
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.
Status | Completed |
Enrollment | 40 |
Est. completion date | April 5, 2022 |
Est. primary completion date | April 5, 2022 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | 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 |
Country | Name | City | State |
---|---|---|---|
United States | Mayo Clinic Rochester | Rochester | Minnesota |
Lead Sponsor | Collaborator |
---|---|
Mayo Clinic |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | 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. | 2 months |
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