Hepatocellular Carcinoma
Conditions
Keywords
CT
Brief summary
The purpose of this study is to investigate the image quality and clinical feasibility of double low-dose liver computed tomography using a deep-learning-based iodine contrast boosting algorithm in participants at high risk for hepatocellular carcinoma.
Detailed description
The purpose of this study is to investigate the image quality (CNR, subjective inage quality, vessel and lesion conspicuity) and clinical feasibility (rate of lesion detection) of double low-dose liver computed tomography using a deep-learning-based iodine contrast boosting algorithm in participants at high risk for hepatocellular carcinoma.
Interventions
Underwent liver CT with 30% lower radiation dose
Underwent liver CT without change of radiation.
Underwent liver CT 20% lower dose contrast media.
Underwent liver CT without change of contrast media doses.
Applied deep-learning based contrast boosting algorithms on acquired CT images
Sponsors
Study design
Masking description
Participants, investigators, and outcome assessors were all masked to the allocation
Eligibility
Inclusion criteria
* Liver cirrhosis * Tumor marker (aFP, PIVKA) elevation * Nodular lesion on USG * Received RFA for HCC
Exclusion criteria
* hypersensitivity at iodine * GFR under 30 * BMI over 30 * Nursing or pregnant women * enrolled the other study
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Detection rate of solid focal lesion in liver | 12 months after last patient's image work up | diagnostic performance |
| Quantitative image quality analysis | Immediate after study enrollement | Contrast-to-Noise |
Countries
South Korea