Surgical removal of hepatic cancer is the only treatment that can lead to a full recovery. In some cases, a significant portion of the liver must be removed which could lead to liver failure. To reduce chance of developing liver failure, it is crucial to assess the remaining liver function. Currently, liver function is measured using dynamic hepatobiliary scintigraphy (HBS) in specialized centers, but this method is not widely available, has poor resolution, and involves complex analysis. In some cases, a liver biopsy is also performed to detect underlying liver diseases.
This study aims to improve patient care by using quantitative MRI (qMRI) scans to assess liver function. We will investigate whether qMRI measurements of liver function are comparable to HBS liver function measurements and if MRI can also detect underlying liver diseases, potentially eliminating the need for biopsies. If successful, this approach could replace the current complex process, which involves multiple scans and biopsies, leading to a simpler workflow using just one MRI scan. This would reduce the number of procedures for patients and allow scans to be performed at local hospitals, minimizing patient burden.