Name: Calculating the Distribution Ratio of the Patient's Liver at Different Fibrosis Stages
Uploaded: 2023-07-21T12:10:00
Description: Watch this Scientific Journal Video about Calculating the Distribution Ratio of the Patient's Liver at Different Fibrosis Stages at JoVE.com

calculating the distribution ratio of the patient's liver at different fibrosis stages

Quantitative Analysis of Liver Stiffness Distribution

Hepatic fibrosis refers to the formation of excessive scar tissue in the liver, usually as a result of liver damage or disease1,2,3,4. It frequently arises as a consequence of chronic liver injury and is commonly associated with liver diseases, such as chronic viral hepatitis, non-alcoholic fatty liver disease, and alcoholic liver disease. If left untreated, hepatic fibrosis can progress to cirrhosis, a potentially life-threatening condition associated with significant morbidity and mortality.
Active research in this area aims to elucidate the cellular and molecular mechanisms underlying the pathogenesis of hepatic fibrosis, as well as to develop novel diagnostic and therapeutic strategies to improve patient outcomes. Another objective is the noninvasive detection of the hepatic fibrosis stage, which is a critical aspect that directly correlates with disease diagnosis, treatment selection, and prognosis evaluation. Despite the importance of accurate diagnosis and the monitoring of hepatic fibrosis, traditional diagnostic methods, such as liver biopsy, are invasive and associated with significant risks. In contrast, magnetic resonance elastography5,6 (MRE) is a promising non-invasive imaging technique that has demonstrated potential in the diagnosis and monitoring of hepatic fibrosis by quantifying liver stiffness.
In recent years, there has been significant research focused on evaluating the accuracy and reliability of MRE in the diagnosis of hepatic fibrosis, as well as its potential advantages over traditional diagnostic methods. The liver stiffness metric of MRE has been granted approval by the United States Food and Drug Administration (FDA) for clinical diagnosis, and extensive comparative analysis with pathological results has been conducted in clinical practice. The results have shown that the stiffness maps generated by MRE exhibit a strong positive correlation with various stages of liver fibrosis7,8,9,10,11,12. Yet so far, the work of accurately evaluating and tracking the progression of liver fibrosis in patients through quantitative analysis of liver stiffness distribution (LSD) by matching liver structure images with MRE has not made much progress.
In this study, the medical imaging group analysis technique13,14,15 is introduced to achieve accurate alignment of the liver structure images with the stiffness map generated by MRE in 3D space, enabling the calculation of liver stiffness values for each voxel of the entire liver. Based on the 3D-digital model of LSD, the exact distribution of patient-specific liver fibrosis staging can be calculated and evaluated. This lays a solid foundation for the precise quantitative diagnosis of early-stage liver fibrosis.

Author Spotlight: Advancing Hepatic Fibrosis Diagnosis Using Magnetic Resonance Elastography and AI 

A Three-Dimensional Digital Model for Early Diagnosis of Hepatic Fibrosis Based on Magnetic Resonance Elastography

The scope of the research is to develop a three dimensional digital model for the early diagnosis of hepatic fibrosis based on magnetic resonance elastography. The research aims to address the limitations of current methods and provide a noninvasive and quantitative approach for the accurate assessment and monitoring of hepatic fibrosis. Some of the current experimental challenges in the field of hepatic fibrosis research include improving the scanning accuracy and imaging techniques of non-invasive methods like magnetic resonance elastography, standardizing computational protocols for consistent results and accumulating more comprehensive, and that was data size for accurate classification and diagnosis.The liver MRI structural images were accurately aligned with MRE images, enabling the three dimensional distribution of liver stiffness, distribution, and achieving precise quantification in 3D space. It is possible to accurately establish a liver's stiffness distribution map for a healthy liver, and conveniently utilize it for the diagnosis and the treatment of patients with different stages of liver cirrhosis. In the future, we want to address AI-driven diagnosis, treatment, and prognosis of liver diseases, as well as the development of herbal medicines related to liver diseases.

Watch this Scientific Journal Video about Calculating the Distribution Ratio of the Patient's Liver at Different Fibrosis Stages at JoVE.com

Calculating the Distribution Ratio of the Patient's Liver at Different Fibrosis Stages  

Begin by changing the directory to the folder SE27_ST8K_, Pa, which contains the liver stiffness map sequence. To browse through each stiffness map, execute the MRE_show function, with the function's argument being the file name located in the specified path. Observe the liver stiffness map in an RGB true color image, where each pixel point has three values representing the three primary colors.Calculate the exact stiffness for each pixel using their respective correlations. Then, establish the spatial relationship between MRE and ideal sequences. To obtain the 3D volume of liver stiffness distribution, invoke the LSD_Slice function with the 3D liver region and the liver stiffness map as input parameters.Then, drag the scroll bar below the GUI to view the stiffness map of each layer of the liver. Next, execute the LSD_Volume function with the same input as LSD_Slice to obtain the spatial distribution of the 3D liver LSD. View the 3D volume of LSD from any perspective by holding down the left mouse button.After determining the numerical ranges of stiffness values from four different stages of hepatic fibrosis, using the Hepatic_Fibrosis function with the 3D volume of LSD as the input parameter, calculate the distribution of the patient's entire liver voxels across different fibrosis stages. Then, calculate and compare the results between a completely healthy liver and the liver of a typical fibrosis patient. Quantitative results of the patient's hepatic fibrosis indicate the proportion of the patient's liver in different stages of hepatic fibrosis.Comparison of LSD fully reflects the degree of hepatic fibrosis in the patient compared to a healthy liver.

Research

JoVE Journal

Medicine

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 ...