- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05184283
Utilization of MAsS in Patients Undergoing LT for HCC
Longitudinal Assessment of Muscle Health in Patients Undergoing Liver Transplantation (LT) for Hepatocellular Carcinoma (HCC)
Study Overview
Status
Detailed Description
The combination of hepatocellular carcinoma and chronic liver disease represents a dual impact on overall metabolism. The major risk factors for chronic liver disease related-hepatocellular carcinoma (HCC) include nonalcoholic fatty liver disease (NAFLD), alcoholic liver disease and hepatitis C virus (HCV), among other etiologies of chronic liver injury.
Of particular interest is how the changing landscape of liver disease impacts the care of patients in the peritransplant period. Numerous recent studies have reported that nonalcoholic steatohepatitis (NASH)-related cirrhosis is the most rapidly growing indication for liver transplantation (LT) in the Western world. NAFLD related HCC is already a leading indication in women. The impact of NAFLD on public health and mortality is substantial: incident decompensated cirrhosis due to NAFLD is predicted to increase by 168%, from 39,230 cases annually in 2015 to 105,430 cases in 2030. The corresponding burden of NAFLD cirrhosis on liver transplantation (LT) is expected to increase by 59%. Finally, 3% per year of cirrhotic patients because of NAFLD, develop HCC and noncirrhotic NAFLD-HCC continues to be an area of investigation.
Since NAFLD is becoming one of the most frequent causes of cirrhosis, HCC, and liver transplantation worldwide, it is crucial to identify changes in the peritransplant period that are associated with adverse muscle health and unfavorable metabolic status in the context of all chronic liver diseases.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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New York
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New York, New York, United States, 10032
- Columbia University Irving Medical Center
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Age between 18 and 75 years
- Diagnosis of cirrhosis and HCC
- Listed or in evaluation for liver transplantation
Exclusion Criteria:
- History of prior solid organ transplantation
- In evaluation or listed for any other solid organ transplant (other than liver transplant)
- Contraindication to MR examination
- Metastatic HCC
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
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Prospective Cohort
Chart review will be performed for patients who consent to inclusion in the study.
Information from routine care will be reviewed and body composition assessment will be done by routine MRI with an additional 6-8 minute scan using AMRA® Profiler 4 Muscle Assessment Score (MAsS) by performing volumetric quantification of fat and water images acquired with 2-point Dixon magnetic resonance imaging (MRI).
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
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Change in mean muscle volume
Time Frame: Baseline (0-12 months prior to transplant), Day 180 (post-transplant), 1 year (post-transplant)
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Muscle volume will be collected using body composition MR image acquisition that adds about 6-8 minutes acquisition time to the clinically prescribed MRI examination.
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Baseline (0-12 months prior to transplant), Day 180 (post-transplant), 1 year (post-transplant)
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Change in mean muscle fat
Time Frame: Baseline (0-12 months prior to transplant), Day 180 (post-transplant), 1 year (post-transplant)
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Muscle fat will be collected using body composition MR image acquisition adds about 6-8 minutes acquisition time to the clinically prescribed MRI examination
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Baseline (0-12 months prior to transplant), Day 180 (post-transplant), 1 year (post-transplant)
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Survival Rate
Time Frame: Day 90, Day 180, 1 year
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The percentage of people that are still alive at each time point post transplant compare to 89% average survival rate
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Day 90, Day 180, 1 year
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Number of participants that dropped out of study
Time Frame: 1 year
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This is to measure how many participants did not complete the study for any cause
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1 year
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MRI-proton density fat fraction (MRI-PDFF)
Time Frame: Baseline (0-12 months prior to transplant), Day 180 (post-transplant), 1 year (post-transplant)
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This is to measure/assess intrahepatic fat (IHF) using body composition MR image acquisition adds about 6-8 minutes acquisition time to the clinically prescribed MRI examination
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Baseline (0-12 months prior to transplant), Day 180 (post-transplant), 1 year (post-transplant)
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Visceral adipose tissue volume
Time Frame: 1 year
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Visceral adipose tissue volume will be collected using body composition MR image acquisition adds about 6-8 minutes acquisition time to the clinically prescribed MRI examination
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1 year
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Abdominal subcutaneous adipose tissue volume
Time Frame: 1 year
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Abdominal subcutaneous adipose tissue volume will be collected using body composition MR image acquisition adds about 6-8 minutes acquisition time to the clinically prescribed MRI examination
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1 year
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Delta HOMA-IR
Time Frame: 1 year
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Delta homeostasis model assessment of insulin resistance (HOMA-IR) will be assessed using plasma glucose, insulin
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1 year
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Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Julia Wattacheril, MD, Columbia University Irving Medical Center/ New York Presbyterian Hospital
Publications and helpful links
General Publications
- Borga M, Thomas EL, Romu T, Rosander J, Fitzpatrick J, Dahlqvist Leinhard O, Bell JD. Validation of a fast method for quantification of intra-abdominal and subcutaneous adipose tissue for large-scale human studies. NMR Biomed. 2015 Dec;28(12):1747-53. doi: 10.1002/nbm.3432. Epub 2015 Nov 2.
- Wong RJ, Aguilar M, Cheung R, Perumpail RB, Harrison SA, Younossi ZM, Ahmed A. Nonalcoholic steatohepatitis is the second leading etiology of liver disease among adults awaiting liver transplantation in the United States. Gastroenterology. 2015 Mar;148(3):547-55. doi: 10.1053/j.gastro.2014.11.039. Epub 2014 Nov 25.
- Karlsson A, Rosander J, Romu T, Tallberg J, Gronqvist A, Borga M, Dahlqvist Leinhard O. Automatic and quantitative assessment of regional muscle volume by multi-atlas segmentation using whole-body water-fat MRI. J Magn Reson Imaging. 2015 Jun;41(6):1558-69. doi: 10.1002/jmri.24726. Epub 2014 Aug 11.
- West J, Dahlqvist Leinhard O, Romu T, Collins R, Garratt S, Bell JD, Borga M, Thomas L. Feasibility of MR-Based Body Composition Analysis in Large Scale Population Studies. PLoS One. 2016 Sep 23;11(9):e0163332. doi: 10.1371/journal.pone.0163332. eCollection 2016.
- Estes C, Razavi H, Loomba R, Younossi Z, Sanyal AJ. Modeling the epidemic of nonalcoholic fatty liver disease demonstrates an exponential increase in burden of disease. Hepatology. 2018 Jan;67(1):123-133. doi: 10.1002/hep.29466. Epub 2017 Dec 1.
- Linge J, Borga M, West J, Tuthill T, Miller MR, Dumitriu A, Thomas EL, Romu T, Tunon P, Bell JD, Dahlqvist Leinhard O. Body Composition Profiling in the UK Biobank Imaging Study. Obesity (Silver Spring). 2018 Nov;26(11):1785-1795. doi: 10.1002/oby.22210. Epub 2018 May 22.
- Linge J, Heymsfield SB, Dahlqvist Leinhard O. On the Definition of Sarcopenia in the Presence of Aging and Obesity-Initial Results from UK Biobank. J Gerontol A Biol Sci Med Sci. 2020 Jun 18;75(7):1309-1316. doi: 10.1093/gerona/glz229.
- Linge J, Ekstedt M, Dahlqvist Leinhard O. Adverse muscle composition is linked to poor functional performance and metabolic comorbidities in NAFLD. JHEP Rep. 2020 Oct 28;3(1):100197. doi: 10.1016/j.jhepr.2020.100197. eCollection 2021 Feb.
- West J, Romu T, Thorell S, Lindblom H, Berin E, Holm AS, Astrand LL, Karlsson A, Borga M, Hammar M, Leinhard OD. Precision of MRI-based body composition measurements of postmenopausal women. PLoS One. 2018 Feb 7;13(2):e0192495. doi: 10.1371/journal.pone.0192495. eCollection 2018.
- Doycheva I, Issa D, Watt KD, Lopez R, Rifai G, Alkhouri N. Nonalcoholic Steatohepatitis is the Most Rapidly Increasing Indication for Liver Transplantation in Young Adults in the United States. J Clin Gastroenterol. 2018 Apr;52(4):339-346. doi: 10.1097/MCG.0000000000000925.
- Cholankeril G, Wong RJ, Hu M, Perumpail RB, Yoo ER, Puri P, Younossi ZM, Harrison SA, Ahmed A. Liver Transplantation for Nonalcoholic Steatohepatitis in the US: Temporal Trends and Outcomes. Dig Dis Sci. 2017 Oct;62(10):2915-2922. doi: 10.1007/s10620-017-4684-x. Epub 2017 Jul 25.
- Parikh ND, Marrero WJ, Wang J, Steuer J, Tapper EB, Konerman M, Singal AG, Hutton DW, Byon E, Lavieri MS. Projected increase in obesity and non-alcoholic-steatohepatitis-related liver transplantation waitlist additions in the United States. Hepatology. 2019 Aug;70(2):487-495. doi: 10.1002/hep.29473. Epub 2018 May 14.
- Ajmera VH, Cachay E, Ramers C, Vodkin I, Bassirian S, Singh S, Mangla N, Bettencourt R, Aldous JL, Park D, Lee D, Blanchard J, Mamidipalli A, Boehringer A, Aslam S, Leinhard OD, Richards L, Sirlin C, Loomba R. MRI Assessment of Treatment Response in HIV-associated NAFLD: A Randomized Trial of a Stearoyl-Coenzyme-A-Desaturase-1 Inhibitor (ARRIVE Trial). Hepatology. 2019 Nov;70(5):1531-1545. doi: 10.1002/hep.30674. Epub 2019 Jun 18.
- Middleton MS, Haufe W, Hooker J, Borga M, Dahlqvist Leinhard O, Romu T, Tunon P, Hamilton G, Wolfson T, Gamst A, Loomba R, Sirlin CB. Quantifying Abdominal Adipose Tissue and Thigh Muscle Volume and Hepatic Proton Density Fat Fraction: Repeatability and Accuracy of an MR Imaging-based, Semiautomated Analysis Method. Radiology. 2017 May;283(2):438-449. doi: 10.1148/radiol.2017160606. Epub 2017 Mar 9.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Digestive System Diseases
- Pathologic Processes
- RNA Virus Infections
- Virus Diseases
- Infections
- Blood-Borne Infections
- Communicable Diseases
- Neoplasms by Histologic Type
- Neoplasms
- Neoplasms by Site
- Adenocarcinoma
- Neoplasms, Glandular and Epithelial
- Digestive System Neoplasms
- Flaviviridae Infections
- Hepatitis, Viral, Human
- Liver Diseases
- Fibrosis
- Carcinoma
- Hepatitis
- Carcinoma, Hepatocellular
- Hepatitis C
- Liver Cirrhosis
- Liver Neoplasms
Other Study ID Numbers
- AAAT7360
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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