Liver CT Dose Reduction With Deep Learning Based Reconstruction
NCT ID: NCT05804799
Last Updated: 2023-04-12
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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COMPLETED
300 participants
OBSERVATIONAL
2021-01-01
2022-12-31
Brief Summary
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The aim of this study is to compare image quality and diagnostic capability in detecting malignant tumors of LDCT with DLD to those of SDCT with MBIR using the predefined non-inferiority margin.
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Detailed Description
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The aim of this study is to compare image quality and diagnostic capability in detecting malignant tumors of LDCT with DLD to those of SDCT with MBIR using the predefined non-inferiority margin.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Liver CT study group
Patients with a suspicion of focal liver lesions had the plan to perform a contrast-enhanced liver CT scan.
The liver CT images were reconstructed by both low-dose scans with a deep-learning-based denoising program (ClariCT.AI) and standard-dose scans with model-based iterative reconstruction.
Contrast-enhanced liver CT scan
The contrast-enhanced liver CT scans were obtained from all of the participants.
The liver CT images were reconstructed by both low-dose scans with a deep-learning-based denoising program (ClariCT.AI) and standard-dose scans with model-based iterative reconstruction.
Interventions
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Contrast-enhanced liver CT scan
The contrast-enhanced liver CT scans were obtained from all of the participants.
The liver CT images were reconstructed by both low-dose scans with a deep-learning-based denoising program (ClariCT.AI) and standard-dose scans with model-based iterative reconstruction.
Eligibility Criteria
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Inclusion Criteria
* patients referred to the Radiology department to perform contrast-enhanced liver CT under the suspicion of focal liver lesions
Exclusion Criteria
* previous history of severe adverse reaction to iodinated contrast media.
20 Years
85 Years
ALL
No
Sponsors
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Seoul National University Hospital
OTHER
Responsible Party
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Jeong Min Lee
Professor
Principal Investigators
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Jeong Min Lee, M.D.
Role: PRINCIPAL_INVESTIGATOR
Seoul National University Hospital
Locations
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Tubingen University Hospital
Tübingen, , Germany
Seoul National University Hospital
Seoul, , South Korea
Korea University Guro Hospital
Seoul, , South Korea
Countries
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References
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Lee DH, Lee JM, Lee CH, Afat S, Othman A. Image Quality and Diagnostic Performance of Low-Dose Liver CT with Deep Learning Reconstruction versus Standard-Dose CT. Radiol Artif Intell. 2024 Mar;6(2):e230192. doi: 10.1148/ryai.230192.
Other Identifiers
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SNUH-2007-040-1139
Identifier Type: -
Identifier Source: org_study_id
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