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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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| Measure | Description | Time Frame |
|---|---|---|
| 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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Inclusion Criteria:
Exclusion Criteria:
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Adults undergoing MR brain without and with IV contrast examination as part of their care plan.
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| Name | Affiliation | Role |
|---|---|---|
| James Pipe, PhD | Mayo Clinic | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Mayo Clinic Rochester | Rochester | Minnesota | 55905 | United States |
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| Label | URL |
|---|---|
| Mayo Clinic Clinical Trials | View source |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot | Yes | No | No | Study Protocol | Jan 20, 2022 | Feb 7, 2022 | Prot_000.pdf |
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