Simultaneous Quantification of Liver Fat Content, Fatty Acid Composition, and Fibrosis Using Spin-lock MRI for Steatohepatitis Assessment

NCT ID: NCT05384652

Last Updated: 2023-02-08

Basic Information

• Recruitment Status: NOT_YET_RECRUITING
• Total Enrollment: 140 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2024-01-01
• Study Completion Date: 2027-06-30

Brief Summary

Non-alcoholic fatty liver disease is a major health problem worldwide. It includes simple steatosis and NASH which has inflammation in the liver, with or without fibrosis. Fat content, fibrosis, and inflammation are three important components to evaluate NASH. Liver biopsy is the current gold standard for the diagnosis of NASH. Liver biopsy; however, is invasive. The existing non-invasive methods still have significant limitations to assess NASH. It was reported that quantification of fatty acid composition is feasible for evaluation of metabolic disorders and inflammatory conditions. However, this measurement cannot be used to evaluate fibrosis. Liver fibrosis is characterized by excessive deposition of collagen-rich connective tissues in the liver, which can be quantified by macromolecular proton fraction (MPF), an MRI parameter reflecting the macromolecular level in tissues. Although it has the potential to directly quantify fibrotic tissue, the effect of inflammation on MPF measurement was not well studied. In summary, NASH assessment using non-invasive imaging methods remains challenging. Based on our previous work of MPF imaging with spin-lock (MPF-SL) and chemical-shift encoding-based water-fat imaging in spin-lock MRI, the investigators will develop a fast acquisition technology to collect data for simultaneous quantification of liver fat content, fatty acid composition, and fibrosis within a single breath-hold less than 14 seconds. Our method does not require extra hardware and does not need to inject a contrast agent. The investigators will evaluate the repeatability and reproducibility of the proposed method on volunteers. To evaluate its clinical value, the investigators will recruit 120 subjects (60 with simple steatosis and 60 with NASH) in this study. The investigators will use histology analysis as the gold standard and evaluate the diagnostic value of our proposed method for detecting NASH. This project will provide a non-invasive diagnostic technology for the assessment of NASH. The proposed MRI technology also has the potential to be applied for other clinical purposes.

Conditions

Non-alcoholic Fatty Liver Disease (NAFLD); Non-alcoholic Steatohepatitis (NASH)

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: PROSPECTIVE

Study Groups

subjects with NASH

No interventions assigned to this group

subjects with simple steatosis

No interventions assigned to this group

healthy subjects

No interventions assigned to this group

Eligibility Criteria

Inclusion Criteria

• Between 18 and 65 years of age.
• Non-alcoholic fatty liver disease (NAFLD) patients at stage of either Non-alcoholic steatohepatitis (NASH) or simple steatosis
• NAFLD patients scheduled to undergo liver biopsy.
• No abnormal lesions detected at baseline MRI exam for healthy volunteers.

Exclusion Criteria

• Evidence of hepatocarcinoma (HCC) or any other types of neoplasm.
• Patients who had undergone liver transplantation.
• Any contraindications to either liver biopsy or MRI scan.

• Minimum Eligible Age: 18 Years
• Maximum Eligible Age: 65 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

Chinese University of Hong Kong

OTHER

Sponsor Role: lead

Responsible Party

Chen Weitian

Associate Professor

Responsibility Role: PRINCIPAL_INVESTIGATOR

Locations

The Chinese University of Hong Kong, Prince of Wale Hospital

Hong Kong, Shatin, Hong Kong

Countries

Hong Kong

Central Contacts

Weitian Chen

Role: CONTACT

wtchen@cuhk.edu.hk

3505 1036

Facility Contacts

Weitian Chen, MBChB, MD

Role: primary

wtchen@cuhk.edu.hk

3505 1036

Other Identifiers

2022.021

Identifier Type: -

Identifier Source: org_study_id