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AI-based CT reconstruction using ClariCT software for noise reduction and improvement of image quality of Contrast enhanced liver CT: A prospective multinational multicenter single arm study

AI-based CT reconstruction using ClariCT software for noise reduction and improvement of image quality of Contrast enhanced liver CT: A prospective multinational multicenter single arm study

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
CRIS
Registry ID
KCT0005939
Enrollment
300
Registered
2021-03-02
Start date
2021-01-26
Completion date
Unknown
Last updated
2021-03-22

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

None listed

Sponsors

Seoul National University Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1) patients who give informed consent to participate in this study 2) age between 20 and 85-year old 3) patients having suspicion of primary/metastatic liver tumor and planed to perform contrast enhanced liver CT for clinical need 4) No previous history of allergic reaction to iodine contrast media

Exclusion criteria

Exclusion criteria: 1) patients who do not give informed consent 2) age below 19 and age over 86 3) previous history of allergic reaction to iodine contrast media

Design outcomes

Primary

MeasureTime frame
level of image noise at T12 vertebra level—

Secondary

MeasureTime frame
contast-noise ratio of liver tumor;signal-to-noise ratio of liver parenchyma;image quality assessed using 5-point scale;hounsfield units of abdominal aorta, hepatic artery and portal vein;edge sharpness assessed using 5-point scale;reproducibility of liver tumor size measurement—

Countries

Korea, Republic of

Contacts

Public ContactDong Ho Lee

Seoul National University Hospital

Outcome results

None listed

Source: CRIS (via WHO ICTRP) · Data processed: Feb 4, 2026