Comparison of 2D and 3D MRE Performance in Prediction of MASLD-Associated Risk Factors

Motivation: Pathology of steatotic liver disease is characterized by fat burden, inflammation, and ballooning. Mechanical properties of tissue acquire by 2D-MRE has improved the detection of this disease. However, 3D-MRE, an improvement over 2D-MRE is not widely adopted by clinicians. Goal(s): We aimed to compare the predictive capabilities of these two in risk factors associated with this disease using machine learning to help motivate clinicians to use 3D-MRE. Approach: Use machine learning to determine the predictive capabilities of 2D-MRE and 3D-MRE. Results: Results showed 3D-MRE best predicts steatohepatitis, inflammation, and ballooning. Impact: The demonstrated predictive value of 3D-MRE in identifying those with certain risk factors allows clinicians to better plan treatment for patients with steatotic liver disease.