Multi-Scale Spatial Heterogeneity of Liver Fibrosis Evaluated by MR Elastography in Rat Models.

Background: While liver stiffness heterogeneity by MR elastography (MRE) is clinically important, whether MRE reflects multi-scale liver fibrosis heterogeneity and explains histopathological-MRE staging discordance remains unclear.

Purpose: To assess spatial heterogeneity of liver fibrosis at multiple scales using MRE, correlating with histopathology.

Study Type: Prospective.

Dynamic Contrast-Enhanced MRI for Assessing Histopathological Growth Patterns and Prognosis in Colorectal Liver Metastases.

Background: The desmoplastic histopathological growth pattern (dHGP) of colorectal liver metastases (CRLM) is associated with prolonged survival and favorable anti-angiogenic chemotherapy response. However, reliable preoperative identification of dHGP using MRI remains challenging.

Purpose: To develop a dynamic contrast-enhanced MRI (DCE-MRI)-based model for assessing dHGP probability, facilitating candidate selection for anti-angiogenic neoadjuvant chemotherapy, and prognostic evaluation.

Development of fully automated models for staging liver fibrosis using non-contrast MRI and artificial intelligence: a retrospective multicenter study.

Background: Accurate staging of liver fibrosis (LF) is essential for clinical management in chronic liver disease. While non-contrast MRI (NC-MRI) yields valuable information for liver assessment, its effectiveness in predicting LF remains underexplored. This study aimed to develop and validate artificial intelligence (AI)-powered models utilizing NC-MRI for staging LF.