High Resolution HBA-MRI Using Deep Learning Reconstruction
NCT ID: NCT05182099
Last Updated: 2023-05-16
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
NA
52 participants
INTERVENTIONAL
2022-01-10
2023-09-30
Brief Summary
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Detailed Description
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Conditions
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Study Design
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NON_RANDOMIZED
PARALLEL
DIAGNOSTIC
SINGLE
Study Groups
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Conventional image reconstruction
Gd-EOB-DTPA enhanced liver MRI images are reconstructed using a conventional image reconstruction algorithm. It is automatically generated from a MRI console after the examination.
Liver MRI
Gd-EOB-DTPA enhanced MRI consists of T2-weighted image (T2WI), diffusion weighted image (DWI) and precontrast T1-weighted image (T1WI), dynamic T1WI (arterial, portal and transitional phases), and hepatobiliary phase.
Deep learning image reconstruction
Gd-EOB-DTPA enhanced liver MRI images are reconstructed using a deep learning based image reconstruction algorithm (AIRTM). It is additionally generated aside from the conventional images.
For obtaining the images, we will use the same MRI raw data which is used for conventional image reconstruction.
Liver MRI
Gd-EOB-DTPA enhanced MRI consists of T2-weighted image (T2WI), diffusion weighted image (DWI) and precontrast T1-weighted image (T1WI), dynamic T1WI (arterial, portal and transitional phases), and hepatobiliary phase.
Interventions
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Liver MRI
Gd-EOB-DTPA enhanced MRI consists of T2-weighted image (T2WI), diffusion weighted image (DWI) and precontrast T1-weighted image (T1WI), dynamic T1WI (arterial, portal and transitional phases), and hepatobiliary phase.
Eligibility Criteria
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Inclusion Criteria
* scheduled for Gd-EOB-DTPA enhanced liver MRI at a 3T scanner (Premier, GE Healthcare) in our institution
* signed informed consent
Exclusion Criteria
* any absolute/relative contrast indication of Gd-EOB-DTPA enhanced MRI
* history of transient dyspnea after Gd-EOB-DTPA administration
20 Years
ALL
No
Sponsors
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GE Healthcare
INDUSTRY
Seoul National University Hospital
OTHER
Responsible Party
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Jeong Min Lee
Professor
Principal Investigators
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Jeong Min Lee, MD
Role: PRINCIPAL_INVESTIGATOR
Seoul National University Hospital
Locations
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Seoul National University Hospital
Seoul, , South Korea
Countries
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Other Identifiers
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2021-3044
Identifier Type: -
Identifier Source: org_study_id
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