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| Name | Class |
|---|---|
| GE Healthcare | INDUSTRY |
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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Conventional image reconstruction | Other | 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. |
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| Deep learning image reconstruction | Active Comparator | 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. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Liver MRI | 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. |
| Measure | Description | Time Frame |
|---|---|---|
| Overall image quality of arterial phase | qualitative assessment of arterial phase on a five point scale (highest score indicates better image quality) | 3 months after enrollment completion |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Jeong Min Lee, MD | Seoul National University Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Seoul National University Hospital | Seoul | South Korea |
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| ID | Term |
|---|---|
| D008107 | Liver Diseases |
| ID | Term |
|---|---|
| D004066 | Digestive System Diseases |
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blinded to the reconstruction types