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Clinical Trial Summary

For this study, cardiac MRI examinations performed will be prospectively included and realized either fully automatically or by a specialized radiology technician. The duration of the automated examinations will be compared to the duration of the manual examinations. The number of failed sequences in both study arms (automated and manual) will be recorded and the quality of the cardiac planes will be compared.


Clinical Trial Description

The main hypothesis is that fully automated cardiac MRI protocols require shorter overall scan times than manually acquired, human-executed protocols. The objective will be to demonstrate that automating the examination allows to shorten the scan time, leading to increased patient comfort and clinical flexibility. The study's secondary objective will be to demonstrate the non-inferiority of the automated protocol compared to human acquisition in terms of resulting planning quality and error occurrence during slice planning. Included patients will undergo clinical cMRI following international and national standards: only the acquisition strategy will vary. The investigators will successively recruit patients presenting for routine cardiac MRI. The acquisition strategy of the MRI - either automated or manual - will alternate to avoid comparison bias. The MRI protocol will be the same for both arms and consists of standardized sequences acquired before and after contrast administration. Recruitment will be performed at a single location, in the radiology department. Patients will be recruited on a daily, consecutive basis during clinical practice. No questionnaire will be used for this study. No biological material will be sampled. Observational data about the acquisition process, potential errors, and patient characteristics will be recorded. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT06012890
Study type Observational
Source University Hospital, Geneva
Contact Carl Glessgen, MD
Phone 00795536227
Email carl.glessgen@hcuge.ch
Status Recruiting
Phase
Start date August 1, 2023
Completion date July 31, 2024

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