AI Article Synopsis

  • Hepatic fibrosis is an early stage of liver cirrhosis that currently lacks effective non-invasive detection methods, despite advancements like liver stiffness mapping (LSM) using magnetic resonance elastography (MRE).
  • The study introduces a novel 3D digital model for diagnosing hepatic fibrosis, addressing limitations of the traditional LSM, such as manual analysis and lack of comprehensive structural details.
  • The new concept of Liver Stiffness Distribution (LSD) offers a more precise quantification of liver stiffness in three dimensions, enhancing the clinical evaluation and treatment of hepatic fibrosis.

Article Abstract

Hepatic fibrosis is an early stage of liver cirrhosis, and there are no better non-invasive and convenient methods for the detection and evaluation of the disease. Despite the good progress made with the liver stiffness map (LSM) based on magnetic resonance elastography (MRE), there are still some limitations that need to be overcome, including manual focus determination, manual selection of regions of interest (ROIs), and discontinuous LSM data without structural information, which makes it impossible to evaluate the liver as a whole. In this study, we propose a novel three-dimensional (3D) digital model for the early diagnosis of hepatic fibrosis based on MRE. MRE is a non-invasive imaging technique that employs magnetic resonance imaging (MRI) to measure the liver stiffness at the scanning site through human-computer interaction. Studies have indicated a significant positive correlation between the LSM obtained through MRE and the degree of hepatic fibrosis. However, for clinical purposes, a comprehensive and precise quantification of the degree of hepatic fibrosis is necessary. To address this, the concept of Liver Stiffness Distribution (LSD) was proposed in this study, which refers to the 3D stiffness volume of each liver voxel obtained by the alignment of 3D liver tissue images and MRE indicators. This provides a more effective clinical tool for the diagnosis and treatment of hepatic fibrosis.

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http://dx.doi.org/10.3791/65507DOI Listing

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