To Explore the Value of New MR Technology in Non-invasive Quantitative Assessment of Systemic Metabolism, Disease Status and Prognosis in Patients With Metabolic-Associated Fatty Liver Disease
The purpose of this study is to explore the value of new MR technology in assessing the systemic metabolism, disease status, and prognostic risk of metabolism-related fatty liver disease. By obtaining clinical, imaging, laboratory examination and pathological data of metabolism-related fatty liver disease, image processing software is used to analyze the images, explore the relationship between imaging parameters, body composition and metabolic diseases and metabolism-related fatty liver disease, and achieve non-invasive diagnosis, efficacy evaluation, and prognosis prediction of metabolism-related fatty liver disease. Thereby guiding clinical treatment and improving the prognosis and quality of life of patients with metabolism-related fatty liver disease
Eligibility
Sex
ALL
Min age
—
Max age
—
Healthy volunteers
Accepted
Inclusion Criteria:
1. Patients with MR examination are clinically suspected or diagnosed with metabolism-related fatty liver disease;
2. Age/gender: unlimited;
3. Patients who voluntarily participate in clinical trials and sign written subject informed consent
Exclusion Criteria:
1. Clinical suspicion or diagnosis of metabolism-related fatty liver disease and having been prescribed an MR examination;
2. Voluntarily participation in the study and provision of written informed consent.
Primary outcome measure(s)
Sensitivity (sensitivity) and specificity (specificity) of MR sequence measurement results vs. liver biopsy (gold standard) translated into English — From date of randomization until the date of first documented progression or date of death from any cause, whichever came first, assessed up to 120 months
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
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