Testing a New Ultrasound Method to Detect Fatty Liver Disease

Researchers are testing a new computer algorithm called COSIE that improves how ultrasound detects fatty liver disease—a common side effect of cancer treatment. The algorithm helps select the best parts of the liver to measure, making ultrasound results more reliable and accurate. This study will compare the algorithm's results against MRI imaging to see if it works as well.

Fatty liver disease is becoming increasingly common, especially in cancer patients receiving treatment. While ultrasound is a cheap and widely available way to detect it, the measurements can be unreliable. This trial exists to see if the new algorithm can make ultrasound measurements more trustworthy, potentially allowing doctors to catch fatty liver disease earlier in more patients.