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NCT05235646
Infiltration of Gadolinium Injection in Brain MR Scans Using Artificial Intelligence
trial in Magnetic Resonance Imaging in 40 participants. Completed in 5 April 2022.
5 April 2022
Quick facts
| Lead sponsor | Mayo Clinic |
|---|---|
| Status | Completed |
| Study type | OBSERVATIONAL |
| Enrollment | 40 |
| Start date | 14 March 2022 |
| Primary completion | 5 April 2022 |
| Estimated completion | 5 April 2022 |
| Sites | 1 location across United States |
Conditions studied
- Magnetic Resonance Imaging — all drugs for Magnetic Resonance Imaging →
Sponsor
Mayo Clinic
Who can join
18 and older, any sex, with Magnetic Resonance Imaging. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
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.
Publications & conference data
No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.
Verify or expand the search:
- PubMed search for NCT05235646
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT05235646 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Mayo Clinic
- Last refreshed: 11 April 2022
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT05235646.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing