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Construction method of radiology-based hepatic venous pressure gradient calculation model

A technology of pressure gradient and calculation model, applied in the direction of calculation, medical simulation, computer-aided medical procedure, etc., can solve the problems of many interference factors, large numerical variation, and high difficulty in operation, and achieve the goal of many interference factors, large numerical variation, and difficult operation. high effect

Active Publication Date: 2018-04-20
祁小龙
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Problems solved by technology

However, the main problems of research in this field at home and abroad are: the scope of assessment is limited to the main portal vein, and the overall influence of the hepatic vein-portal system is not considered; only portal hemodynamic factors are considered, and blood in patients with cirrhosis is ignored. Rheological changes, such as changes in blood viscosity and a decrease in the deformability of red blood cells, contribute to an increase in portal resistance
[0006] Various measurement techniques of portal pressure are still affected by their own interference factors, or they are highly invasive, difficult to operate, or have many interference factors and large value variations
At present, in the relevant reports at home and abroad, the diagnostic methods of portal hypertension, especially the early non-invasive diagnostic techniques, still need further research and improvement.

Method used

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  • Construction method of radiology-based hepatic venous pressure gradient calculation model
  • Construction method of radiology-based hepatic venous pressure gradient calculation model
  • Construction method of radiology-based hepatic venous pressure gradient calculation model

Examples

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Embodiment 1

[0096] Example 1: R language glmnet toolkit for feature screening, modeling and calculation rHVPG

[0097] In the R language programming interface, first use library (glmnet) to import the glmnet toolkit, and use read.table("D: / train_list.csv", header=TRUE, sep=',') to include 222 examples of the training set The csv data of image features is imported into the variable train. Use as.matrix(train[,1:20648]) and as.matrix(train[,20649]) to store the feature matrix and outcome data in the train in the variables train_x and train_y respectively. Set the parameters of the glmnet function: x=train_x, y=train_y, family='binomial', nfold=10, the entire glmnet function call process uses lasso dimensionality reduction, and draws a feature screening map (such as Figure 32 shown) and the error curve (as Figure 33 shown), and then perform 10-fold cross-validation through the cv.glmnet function, and select the parameter lambda.min to select the optimal linear model. At this time, it cor...

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Abstract

The invention provides a construction method of a radiology-based hepatic venous pressure gradient (rHVPG) calculation model. An advantageous hepatic vein pressure gradient calculation model can be constructed on this basis, and a new approach is provided to calculate the early noninvasive indexes of patients with portal hypertension. The invention also provides a rHVPG calculation system. The method can overcome many limitations of an existing noninvasive measurement method. The rHVPG calculation system is feasible, and is expected to provide a new idea for the noninvasive measurement of portal pressure, and plays an active role in improving the quality of life of patients with portal hypertension and reducing the burden of disease in families and society.

Description

technical field [0001] The invention relates to a method for constructing a hepatic venous pressure gradient calculation model based on radiomics. Background technique [0002] Globally, liver disease (viral infection, alcoholic liver disease, nonalcoholic fatty liver and related cirrhosis, hepatocellular carcinoma) is one of the leading causes of death, and in China alone, liver disease threatens nearly 3 The health and lives of 100 million people, seriously exacerbating the global burden of disease. Take chronic liver disease caused by hepatitis B virus infection as an example. According to the report of the World Health Organization, about 2 billion people in the world have been infected with hepatitis B virus, of which 240 million people are chronic hepatitis B virus infected people, and about 650,000 people die of hepatitis B virus infection every year. Liver cirrhosis, hepatocellular carcinoma, etc. Among patients with liver cirrhosis worldwide, 30% are caused by hep...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/50G06T7/00G06T7/11
CPCG06T7/0012G06T7/11G06T2207/10081G06T2207/20104G06T2207/30056
Inventor 祁小龙
Owner 祁小龙
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