Global Longitudinal Assessment of
MASLD
Using Magnetic Resonance Elastography (
GOLDMINE
): A Multi‐Center, International Prospective Cohort Study of Imag
ABSTRACT Background Metabolic dysfunction‐associated steatotic liver disease (MASLD) exhibits marked heterogeneity in fibrosis progression and liver‐related outcomes. Liver biopsy is not feasible for longitudinal risk stratification at scale, creating a need for validated non‐invasive biomarkers, particularly imaging biomarkers, that can predict clinically meaningful disease progression and liver‐related outcomes. Aims To describe the design and rationale of the GOLDMINE study, established to determine whether non‐invasive imaging biomarkers predict MASLD progression and liver‐related clinical outcomes. Methods GOLDMINE is an investigator‐initiated, multi‐centre, international longitudinal cohort enrolling up to 1000 adults with either biopsy‐proven MASLD or MASLD cirrhosis across the full fibrosis spectrum. Participants are recruited from 15 sites in the US and 4 international sites (Japan, Singapore and France). At baseline, participants undergo clinical phenotyping, vibration‐controlled transient elastography, and advanced magnetic resonance imaging (MRI), including proton‐density‐fat‐fraction and magnetic resonance elastography (MRE). MRI (and biospecimen banking) is repeated at 2‐year intervals (years 2 and 4), with annual follow‐up visits for up to 10 years. Baseline liver histology is centrally processed, digitized and reviewed by a single expert hepatopathologist; all MRI/MREs are centrally interpreted. Results The prespecified clinical outcomes include progression to cirrhosis, clinically significant portal hypertension, major adverse liver‐related outcomes (ascites, hepatic encephalopathy, portal hypertensive bleeding, liver transplantation/qualification), hepatocellular carcinoma, major adverse cardiovascular events, and all‐cause mortality, with independent central adjudication of all events. Conclusions GOLDMINE establishes a rigorously phenotyped MASLD cohort integrating centralized histology, advanced MRI‐based biomarkers, longitudinal biobanking, and adjudicated outcomes, providing a platform to validate imaging and blood‐based prognostic biomarkers in MASLD.
Survival benefit associated with liver transplantation for hepatocellular carcinoma based on tumor burden scores at listing
Introduction: Liver transplantation (LT) provides significant survival benefits to patients with unresectable HCC. In the United States, organ allocation policies for HCCs within the United Network for Organ Sharing criteria do not prioritize patients based on their differences in oncological characteristics. This study assessed whether transplant-associated survival benefits (TASBs) vary among patients with different tumor burden scores (TBS) measured at the time of listing. Methods: We analyzed data from adults applying for HCC MELD exception points between 2002 and 2019, with follow-up until December 2023, using the Scientific Registry of Transplant Recipients. TBS was determined based on the largest tumor diameter and number of HCCs. Patients were categorized into low (≤3), intermediate (3.1–5), and high (>5) TBS groups. TASB was measured as the difference in 5-year survival with and without LT. Results: This study included 36,634 LT candidates. High-TBS patients had higher waitlist dropout rates and marginally lower post-transplant survival, resulting in a significantly greater TASB. The 5-year TASB for the low, intermediate, and high TBS groups were 15.7, 22.1, and 25.0 months, respectively. The adjusted survival benefit expressed in 5-year survival differences was 21.9%, 34.5%, and 39.4% in the low, intermediate, and high TBS groups, respectively ( p <0.001). Conclusions: Higher TBS during listing correlates with greater LT benefits for patients with unresectable HCC within UNOS criteria. We conclude that organ allocation policies in the United States should prioritize patients with high TBS due to their increased risk of dropout and comparable post-transplant survival when compared to patients with less advanced tumors.