A prediction model for the grade of liver fibrosis using magnetic resonance elastography

Artificial Intelligence in Imaging of Chronic Liver Diseases: Current Update and Future Perspectives

Here we review artificial intelligence (AI) models which aim to assess various aspects of chronic liver disease. Despite the clinical importance of hepatocellular carcinoma in the setting of chronic liver disease, we focus this review on AI models which are not lesion-specific and instead review models developed for liver parenchyma segmentation, evaluation of portal circulation, assessment of hepatic fibrosis, and identification of hepatic steatosis. Optimization of these models offers the opportunity to potentially reduce the need for invasive procedures such as catheterization to measure hepatic venous pressure gradient or biopsy to assess fibrosis and steatosis. We compare the performance of these AI models amongst themselves as well as to radiomics approaches and alternate modality assessments. We conclude that these models show promising performance and merit larger-scale evaluation. We review artificial intelligence models that aim to assess various aspects of chronic liver disease aside from hepatocellular carcinoma. We focus this review on models for liver parenchyma segmentation, evaluation of portal circulation, assessment of hepatic fibrosis, and identification of hepatic steatosis. We conclude that these models show promising performance and merit a larger scale evaluation.

Effect of acupuncture combined with Shenqi Yigan Decoction on liver function and T cell subsets in patients with HBV-induced liver fibrosis

OBJECTIVE

To explore the effect of acupuncture combined with Shenqi Yigan Decoction on liver function and T cell subsets in patients with Hepatitis B virus-induced liver fibrosis.

METHODS

All of the 90 patients with HBV-induced liver fibrosis were divided into two groups with the control group (n=45) treated with the conventional treatment, and the observation group (n=45) treated with acupuncture and Shenqi Yigan decoction based on the observation group. The seroconversion rate of hepatitis Be antigen (HBeAg), the liver function, the serum indexes of liver fibrosis of hyaluronic acid (HA), laminin (LN), type III procollagen (PC III), type IV collagen (IV-C), the T cell subsets and the inflammatory factors were compared between the two groups.

RESULTS

After 2 and 4 months of treatment, the HBeAg seroconversion rate of patients in the observation group was higher than that of the control group, but the difference was not significant (P>0.05). And the HBeAg seroconversion rate of patients in the observation group was significantly higher than that of the control group after 6 months treatment (P<0.05). After treatment, the serum levels of the liver function index of aspartate aminotransferase (AST), alanine aminotransferase (ALT), total bilirubin (Tbil), the liver fibrosis index of HA, LN, PC III, and the inflammatory factor of type IV collagen (IV-C), C-reactive protein (CRP) and tumor necrosis factor-α (TNF-α) in the two groups were lower than those before treatment, in addition, the levels of there index were lower in the observation group (all P<0.05). After treatment, the proportion of CD3⁺, CD4⁺ T lymphocyte subsets and CD4⁺/CD8⁺ in peripheral blood of the two groups were increased, and the proportion of CD8⁺ was decreased. The change range of the observation group was larger than that of the observation group (all P<0.01). The proportion of patients with liver fibrosis grade F1 in the observation group after treatment was significantly higher than that before treatment, and the proportion of patients with liver fibrosis grade F2 to F3 was significantly lower than that before treatment. There was a significant difference in liver fibrosis grade between the two groups after treatment (P<0.05).

CONCLUSION

The combined treatment of acupuncture and Shenqi Yigan decoction can significantly improve the liver function of patients with HBV-induced liver fibrosis, delay the progress of liver fibrosis, improve the cellular immune function and reduce the inflammatory reaction.

Plasma Arginase-1 Level Is Associated with the Mental Status of Outpatients with Chronic Liver Disease

While plasma arginase-1 has been suggested as a biomarker of mental status in healthy individuals, it has not been evaluated in patients with chronic liver disease. This cross-sectional study investigated the utility of plasma arginase-1 for screening mental status in patients with chronic liver disease. This study included outpatients with chronic liver disease who underwent regular check-ups at Okayama University Hospital between September 2018 and January 2019. In addition to the standard blood tests, the plasma arginase-1 level was analyzed. The patients’ mental status was assessed using the Japanese version of the General Health Questionnaire-28 (GHQ-28). The associations between mental status and various parameters, including plasma arginase-1, were investigated using logistic regression analysis. Among 114 participating patients, 8 were excluded, comprising 6 with insufficient blood samples for plasma arginase-1 measurement and 2 with incomplete questionnaires. Multivariate binomial logistic regression analysis revealed that plasma arginase-1 was significantly and negatively associated with the GHQ-total score, especially somatic symptoms. Therefore, plasma arginase-1 may be a useful biomarker for assessing the mental status of outpatients with chronic liver disease.

Phase-Contrast MRI: Physics, Techniques, and Clinical Applications

With phase-contrast imaging, the MRI signal is used to visualize and quantify velocity. This imaging modality relies on phase data, which are intrinsic to all MRI signals. With use of bipolar gradients, degrees of phase shift are encoded and in turn correlated directly with the velocity of protons. The acquisition of diagnostic-quality images requires selection of the correct imaging plane to ensure accurate measurement and selection of the encoding velocity and thus prevent aliasing and achieve the highest signal-to-noise ratio. Multiple applications of phase-contrast imaging are actively used in clinical practice. One of the most common clinical uses is in cardiac valvular flow imaging, at which the data are used to assess the severity of valvular disease and quantify the shunt fraction. In neurologic imaging, phase-contrast imaging can be used to measure the flow of cerebrospinal fluid. This measurement can aid in the diagnosis and direct management of normal pressure hydrocephalus or be used to evaluate the severity of stenosis, such as that in Chiari I malformations. At vascular analysis, phase-contrast imaging can be used to visualize arterial and venous flow, and this application is used most commonly in the brain. Three-dimensional imaging can yield highly detailed flow data in a technique referred to as four-dimensional flow. A more recently identified application is in MR elastography. Shear waves created by using an impulse device can be velocity encoded, and this velocity is directly proportional to the stiffness of the organ, or the shear modulus. This imaging modality is most commonly used in the liver for evaluation of cirrhosis and steatosis, although research on the assessment of other organs is being performed. Phase-contrast imaging is an important tool in the arsenal of MRI examinations and has many applications. Proper use of phase-contrast imaging requires an understanding of the many practical and technical factors and unique physics principles underlying the technique.^©RSNA, 2020.

Prediction of esophageal varices by liver and spleen MR elastography

OBJECTIVES

We aimed to assess the diagnostic performance of MR elastography (MRE) in predicting esophageal varices (EVs) in patients with chronic liver disease.

METHODS

We prospectively performed liver (LSM) and spleen stiffness measurements (SSM) using MRE and endoscopic screening for EVs to determine if patients with hepatocellular carcinoma were eligible for resection. We investigated whether LSM, SSM, and other non-invasive preoperative parameters were associated with the presence of EVs. In order to predict EVs, 211 patients were divided into training (n = 140) and test (n = 71) groups. A nomogram was built using independent factors based on logistic regression analysis in the training group and its accuracy was validated using an independent cohort.

RESULTS

Forty-six patients (21.8%) were diagnosed as having EVs (mild, n = 36; severe, n = 10). According to multiple regression analysis, LSM (odds ratio, 2.362; 95% confidence interval [CI], 1.341-4.923; p = 0.001) and SSM (1.489; 1.095-2.235; p = 0.010) were independent predictors of EVs in the training group. The nomogram showed good discrimination, with a C-index of 0.942 (95% CI, 0.892-0.974) through internal validation, and good calibration. Application of the nomogram in the test group still gave good discrimination (C-index, 0.948; 95% CI, 0.868-0.995).

CONCLUSIONS

The combination of LSM and SSM using MRE is an accurate tool to identify patients at risk for EVs.

KEY POINTS

• Performance of MR elastography can estimate the presence of esophageal varices non-invasively. • Liver and spleen stiffness measurements are independent predictors for esophageal varices. • The nomogram using a combination of liver and spleen stiffness measurements allows for the risk of esophageal varices.

Clinical application of magnetic resonance elastography in chronic liver disease

Recent evidence highlighted that the accurate assessment of liver fibrosis is important for evaluating the progression of chronic liver disease. During the past decade, many non-invasive methods have been developed to reduce the need for core-needle biopsy in fibrosis staging and to overcome its limitations, such as invasiveness, high cost, low reproducibility, and poor patient consent. The diagnostic performance of magnetic resonance elastography (MRE) is promising for use in clinical practice to evaluate not only liver fibrosis, but also survival and major clinical end-points such as liver decompensation, portal hypertension, development of hepatocellular carcinoma, and surgical outcomes. Together with other clinical markers, MRE can be used to better categorize patients with advanced fibrosis and cirrhosis, and assign them to different classes of risk for significant clinical outcomes. This review discusses clinical applications of MRE in the management strategy of patients with chronic liver disease.