Multi-parametric Magnetic Resonance Imaging for the Precise Diagnosis and Quantitative Study of Liver Steatosis, Inflammation, and Fibrosis in Chronic Liver Disease.
NCT ID: NCT06463366
Last Updated: 2025-02-28
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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RECRUITING
100 participants
OBSERVATIONAL
2022-06-14
2025-09-01
Brief Summary
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Detailed Description
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Most hepatologists still rely on liver biopsy findings in patients newly diagnosed with chronic hepatitis, which enables the assessment of liver damage (fibrosis and inflammation). Liver biopsy has limitations, including cost, invasiveness, poor patient acceptance, limited sampling, inter-observer variability and is difficult to repeat.
Non invasive tests to capture the extent of liver damage at a larger scale are urgently needed. These will gain more acceptance among patients and hepatologists.
In this proposal, the investigators would like to test and validate non invasive MRI methods based on advanced MR elastography and MRI-PDFF techniques for the detection of fibrosis, cirrhosis and liver fat content in patients with chronic hepatitis. In order to improve the diagnostic performance of MRI, the investigators would like to build and validate a predictive model based on advanced functional MRI metrics (storage modulus, loss modulus and damping ratio \[DR\]) by follow up every 6 month. If validated, this novel non invasive algorithm will not only decreases the number of liver biopsies, but also enable earlier diagnosis of liver fibrosis when antiviral treatment is more effective, and enable a comprehensive evaluation of the liver (to assess for cirrhosis, portal hypertension and hepatocellular cancer).
This study is aimed to evaluate whether the change of liver stiffness assessed by MRE can predict treatment effectiveness in chronic liver disease treatment by follow up every 6 month.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Interventions
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3D-MRE,MRI-PDFF
3D-MRE(storage modulus, ., loss modulus and damping ratio \[DR\] for liver inflammation and fibrosis) MRI-PDFF(liver fat content)
Eligibility Criteria
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Inclusion Criteria
2. Age range of 18 to 75 years old
3. Accept systematic antiviral therapy or hormone or ursodesoxycholic acid or supportive liver protection therapy
Exclusion Criteria
2. Unable or unwilling to give informed consent
3. Contra-indications to MRI
4. Electrical implants such as cardiac pacemakers or perfusion pumps
5. Ferromagnetic implants such as aneurysm clips, surgical clips, prostheses, artificial hearts, valves with steel parts, metal fragments, shrapnel, tattoos near the eye, or steel implants
6. Ferromagnetic objects such as jewelry or metal clips in clothing
7. Pregnant subjects
8. Pre-existing medical conditions including a likelihood of developing seizures or claustrophobic reactions
18 Years
75 Years
ALL
No
Sponsors
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Shengjing Hospital
OTHER
Responsible Party
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Yu Shi
professor
Locations
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Shengjing Hospital of China Medical University
Shenyang, Liaoning, China
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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ShengjingH-CHD Bai
Identifier Type: -
Identifier Source: org_study_id
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