High Resolution HBA-MRI Using Deep Learning Reconstruction

NCT ID: NCT05182099

Last Updated: 2023-05-16

Study Results

Results pending

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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Recruitment Status

UNKNOWN

Clinical Phase

NA

Total Enrollment

52 participants

Study Classification

INTERVENTIONAL

Study Start Date

2022-01-10

Study Completion Date

2023-09-30

Brief Summary

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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.

Detailed Description

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Conditions

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Liver Diseases Magnetic Resonance Imaging Deep Learning

Study Design

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Allocation Method

NON_RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

SINGLE

Outcome Assessors
blinded to the reconstruction types

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.

Group Type OTHER

Liver MRI

Intervention Type DIAGNOSTIC_TEST

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.

Group Type ACTIVE_COMPARATOR

Liver MRI

Intervention Type DIAGNOSTIC_TEST

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.

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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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
Minimum Eligible Age

20 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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GE Healthcare

INDUSTRY

Sponsor Role collaborator

Seoul National University Hospital

OTHER

Sponsor Role lead

Responsible Party

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Jeong Min Lee

Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

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

Site Status

Countries

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South Korea

Other Identifiers

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2021-3044

Identifier Type: -

Identifier Source: org_study_id

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