NAFLD Clinical Trial
Official title:
Liver Investigation: Testing Marker Utility in Steatohepatitis (LITMUS): Assessment & Validation of Imaging Modality Performance Across the NAFLD Spectrum in a Prospectively Recruited Cohort
Verified date | November 2023 |
Source | University of Oxford |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
The LITMUS Imaging Study is a prospectively recruited, observational study of patients with histologically characterised non-alcoholic fatty liver disease (NAFLD). It aims to evaluate the diagnostic performance of imaging biomarkers (ultrasound elastography and magnetic resonance biomarkers) against NAFLD histological scores in a cross-sectional analysis and the natural history of NAFLD in a longitudinal study.
Status | Active, not recruiting |
Enrollment | 450 |
Est. completion date | October 31, 2024 |
Est. primary completion date | October 31, 2024 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years to 100 Years |
Eligibility | Inclusion Criteria: 1. Recruited to the European NAFLD Registry 2. Patient had a liver biopsy less than 3 months prior to enrolment into the study or is having a liver biopsy in less than 3 months' time for the assessment of NAFLD. 3. Participant is willing and able to give informed consent for participation in the study. Exclusion Criteria: 1. Patients that do not speak the language in which the patient information is written will be excluded. Due to the nature of the study, being able to read the information about the study or access to a relevant interpreter is a necessary criterion for participant's safety in regards to MR scanning. 2. Patients judged by the investigator to be unsuitable for inclusion in the study (e.g. where the investigator feels that the participant will not be able to comply with the study procedures) 3. Any contra-indication to Magnetic Resonance Imaging (MRI) (e.g. ferrous metal implants/fragments, implantable cardiac defibrillator or permanent pacemaker, metal clips following neurosurgery, pregnancy, other condition that would make MR scanning unsafe in the opinion of the scanner operator) |
Country | Name | City | State |
---|---|---|---|
Finland | Helsinki University Hospital | Helsinki | |
France | Le Centre de Recherche Clinique (CRC) du CHU d'Angers | Angers | |
France | Institut ICAN - Institute of Cardiometabolism And Nutrition Hôpital de la Pitié Salpêtrière | Paris | |
Germany | UNIVERSITÄTSMEDIZIN der Johannes Gutenberg Universität Mainz | Mainz | |
Germany | Universitätsklinikums Würzburg | Würzburg | |
Greece | Laiko General Hospital of Athens | Athens | |
Italy | Università di Palermo | Palermo | |
Italy | Department of Medical Sciences University of Torino | Torino | |
Spain | Vall d'Hebron University Hospital | Barcelona | |
Spain | Institute of Biomedicine of Sevilla (IBiS), Virgen del Rocío University Hospital | Sevilla | |
Spain | HU Clínico de Valladolid | Valladolid | |
Sweden | Linköping University Hospital | Linköping | |
Switzerland | Inselspital, University Hospital | Bern | |
United Kingdom | Addenbrookes Hospital | Cambridge | |
United Kingdom | The Newcastle Upon Tyne Hospitals Nhs Foundation Trust | Newcastle Upon Tyne | |
United Kingdom | Queens Medical Centre | Nottingham | |
United Kingdom | Oxford University Hospitals NHS Foundation Trust | Oxford | |
United States | Pinnacle Clinical Research | San Antonio | Texas |
Lead Sponsor | Collaborator |
---|---|
University of Oxford | Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA), Antaros Medical, Assistance Publique - Hôpitaux de Paris, Boehringer Ingelheim, ICAN Nutrition Education and Research, Intercept Pharmaceuticals, Linkoeping University, Newcastle University, Novartis, Perspectum, Pfizer, Pinnacle Clinical Research, PLLC, Resoundant Inc, Takeda, University Medical Center Mainz, University of Angers, University of Bern, University of Cambridge, University of Helsinki, University of Nottingham, University of Palermo, University of Seville, University of Turin, Italy |
United States, Finland, France, Germany, Greece, Italy, Spain, Sweden, Switzerland, United Kingdom,
Pavlides M, Mozes FE, Akhtar S, Wonders K, Cobbold J, Tunnicliffe EM, Allison M, Godfrey EM, Aithal GP, Francis S, Romero-Gomez M, Castell J, Fernandez-Lizaranzu I, Aller R, Gonzalez RS, Agustin S, Pericas JM, Boursier J, Aube C, Ratziu V, Wagner M, Petta S, Antonucci M, Bugianesi E, Faletti R, Miele L, Geier A, Schattenberg JM, Tilman E, Ekstedt M, Lundberg P, Berzigotti A, Huber AT, Papatheodoridis G, Yki-Jarvinen H, Porthan K, Schneider MJ, Hockings P, Shumbayawonda E, Banerjee R, Pepin K, Kalutkiewicz M, Ehman RL, Trylesinksi A, Coxson HO; LITMUS Consortium Investigators; Martic M, Yunis C, Tuthill T, Bossuyt PM, Anstee QM, Neubauer S, Harrison S. Liver Investigation: Testing Marker Utility in Steatohepatitis (LITMUS): Assessment & validation of imaging modality performance across the NAFLD spectrum in a prospectively recruited cohort study (the LITMUS imaging study): Study protocol. Contemp Clin Trials. 2023 Nov;134:107352. doi: 10.1016/j.cct.2023.107352. Epub 2023 Oct 4. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Diagnostic accuracy of imaging biomarkers for severity of liver fibrosis on histology as reference standard | sensitivity, specificity, positive predictive value, negative predictive value, area under the receiver operating characteristic curve | baseline | |
Secondary | Diagnostic accuracy of imaging biomarkers for diagnosis of NASH on histology as reference standard | sensitivity, specificity, positive predictive value, negative predictive value, area under the receiver operating characteristic curve | baseline | |
Secondary | Diagnostic accuracy of imaging biomarkers for histologically assessed fat and iron deposition as reference standard | sensitivity, specificity, positive predictive value, negative predictive value, area under the receiver operating characteristic curve | baseline | |
Secondary | To study the natural history of NAFLD and how this may impact prognosis | Longitudinal correlation of change (d) in MR and US elastography biomarker values with clinical phenotype data*
Survival analysis for the change (d) in biomarker values |
evaluation of biomarkers at baseline and after 2 years | |
Secondary | To evaluate reproducibility and observer dependent variability in reporting of liver imaging biomarkers | Statistical correlation of MR and US elastography data obtained from the same patients acquired or analysed on two time points | evaluation of biomarkers within 30 days | |
Secondary | To identify physiological factors that confound the performance of imaging biomarkers for the assessment of fibrosis | Statistical correlation of MR scans and US elastography imaging biomarkers with liver histology parameters (steatosis, iron deposition, inflammation) and other clinical data (demographics, lab results, patient characteristics) | baseline |
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