UnknownNot Applicable

High Resolution HBA-MRI Using Deep Learning Reconstruction

South Korea52 participantsStarted 2022-01-10

Plain-language summary

This study aims to compare image qualities between conventionally reconstructed MRI sequences and deep-learning reconstructed MRI sequences from the same data in patients who undergo Gd-EOB-DTPA enhanced liver MRI. The AIRTM deep learning sequence is applicable for various MRI sequences including T2-weighted image (T2WI), T1-weighted image and diffusion-weighted image (DWI). We plan to perform intra-individual comparisons of the image qualities between two reconstructed image datasets.

Who can participate

Age range20 Years

SexALL

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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

Inclusion Criteria: * older than 20 years old * scheduled for Gd-EOB-DTPA enhanced liver MRI at a 3T scanner (Premier, GE Healthcare) in our institution * signed informed consent Exclusion Criteria: * younger than 20 years old * any absolute/relative contrast indication of Gd-EOB-DTPA enhanced MRI * history of transient dyspnea after Gd-EOB-DTPA administration

What they're measuring

Overall image quality of arterial phase

Timeframe: 3 months after enrollment completion

Trial details

NCT IDNCT05182099

SponsorSeoul National University Hospital

Sponsor typeOTHER

Study typeINTERVENTIONAL

Primary completion2022-03-30

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