Low Contrast Agent and Radiation Dose Protocol for Liver CT in Patients With HCC
1 other identifier
interventional
68
1 country
1
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable hepatocellular-carcinoma
Started Jun 2016
Typical duration for not_applicable hepatocellular-carcinoma
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
June 1, 2016
CompletedFirst Submitted
Initial submission to the registry
September 8, 2016
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 1, 2018
CompletedStudy Completion
Last participant's last visit for all outcomes
January 1, 2021
CompletedFirst Posted
Study publicly available on registry
January 25, 2021
CompletedFebruary 14, 2022
January 1, 2022
1.6 years
September 8, 2016
January 29, 2022
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Detection rate of solid focal lesion in liver
diagnostic performance
12 months after last patient's image work up
Quantitative image quality analysis
Contrast-to-Noise
Immediate after study enrollement
Study Arms (2)
Conventional liver CT
ACTIVE COMPARATORUnderwent conventional liver CT on HCC high-risk patient
Double low dose CT
EXPERIMENTALUnderwent double low dose liver CT with 30% lower radiation dose and 20% contrast media on HCC high-risk patient
Interventions
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
Eligibility Criteria
You may qualify if:
- Liver cirrhosis
- Tumor marker (aFP, PIVKA) elevation
- Nodular lesion on USG
- Received RFA for HCC
You may not qualify if:
- hypersensitivity at iodine
- GFR under 30
- BMI over 30
- Nursing or pregnant women
- enrolled the other study
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Seoul National University Hospital
Seoul, South Korea
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Jeong Min Lee, MD
Seoul National University Hospital
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- CARE PROVIDER
- Masking Details
- Participants, investigators, and outcome assessors were all masked to the allocation
- Purpose
- DIAGNOSTIC
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
September 8, 2016
First Posted
January 25, 2021
Study Start
June 1, 2016
Primary Completion
January 1, 2018
Study Completion
January 1, 2021
Last Updated
February 14, 2022
Record last verified: 2022-01
Data Sharing
- IPD Sharing
- Will not share