Method for establishing liver and gall disease diagnosis model and diagnosis system

A liver and gallbladder disease and diagnostic model technology, applied in the field of medical diagnosis, can solve the problems of low serum AFP content, poor diagnostic sensitivity and insufficient specificity of liver cancer, and achieve the effect of improving prognosis, reducing mortality, and reducing missed detection rate

Active Publication Date: 2021-07-23
上海鹿明生物科技有限公司
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Liver function indicators (ALT, AST) reflect the functional status of the liver as the main metabolic detoxification organ, but not the level of liver lesions; while the liver cancer marker AFP is mainly used for the diagnosis and curative effect evaluation of liver cancer. There are many defects, such as: (1) poor sensitivity for the diagnosis of early liver cancer, many early liver cancer patients have very low serum AFP content (<20μg / L), and the false negative rate is about 30%; (2) the specificity is not enough, pregnancy Embryonic cancer such as testicular cancer, ovarian cancer, and very few cancers of the stomach, pancreas, bile duct, and colorectum can also increase. In addition, other liver diseases such as hepatitis and cirrhosis can also cause AFP to increase. Therefore; serum AFP is used as a marker for hepatocellular carcinoma Diagnostic markers, which are 60-70% accurate

Method used

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  • Method for establishing liver and gall disease diagnosis model and diagnosis system
  • Method for establishing liver and gall disease diagnosis model and diagnosis system
  • Method for establishing liver and gall disease diagnosis model and diagnosis system

Examples

Experimental program
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Effect test

Embodiment 1

[0085] Example 1: Screening of diagnostic markers for hepatobiliary diseases

[0086] 1. Research object

[0087] The clinical serum and urine samples in this study came from 3 independent medical centers, and the specific sample information is shown in Table 1.

[0088] Table 1 Clinical serum and urine sample information

[0089]

[0090]

[0091] 2. Ultra-high performance liquid chromatography tandem mass spectrometry analysis of target metabolites in serum and urine samples

[0092] 2.1 Information on target metabolites

[0093] Fifteen important differential metabolites were selected from the core metabolic phenotypes of liver diseases as the target metabolites for this screening. See Table 2 for details.

[0094] Table 2 Target metabolites and internal standard information

[0095]

[0096] * Labeled metabolites are used as internal standards

[0097] 2.2 Instruments and reagents

[0098] Ultra-high performance liquid chromatograph series triple quadrupole...

Embodiment 2

[0133] Example 2: Construction of a diagnostic model for hepatobiliary cancer and diagnostic accuracy testing using 4 serum metabolic markers

[0134] The research objects of this example are from 60 cases of liver cancer and 60 cases of cholangiocarcinoma serum samples and 60 cases of healthy control serum samples with normal physical examination from 3 independent medical centers, which are from the same source as the characteristic screening samples. The detection and analysis method of Example 2 of the present invention is the same as that of Example 1 of the present invention. With 4 serum metabolic combinations (GCDA+CDCA+LPC18-0+AA) as diagnostic features, 754 examples (340 examples of health, 220 examples of liver cancer, and 194 examples of cholangiocarcinoma) in Example 1 of the present invention were used as training sets. In Example 2, 180 samples were used as a test set to investigate the diagnostic accuracy of the screened serum diagnostic marker combination (GCD...

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Abstract

The invention discloses a method for establishing a liver and gall disease diagnosis model. The method comprises a data preprocessing stage, an ROC analysis stage, a pairwise combination modeling stage, a multi-substance combination derivation stage and an optimal model acquisition stage. The method can effectively diagnose liver and gall diseases and reduce the omission ratio of liver cancer and bile duct cancer, is very beneficial to early diagnosis and early treatment of liver cancer and bile duct cancer, is greatly helpful to improvement of prognosis of liver cancer and bile duct cancer and reduction of death rate of liver cancer and bile duct cancer, and has good clinical use and popularization values. In practical application, more samples and more metabolite combinations can be selected for modeling according to the modeling method, and the accuracy of the model is improved.

Description

technical field [0001] The invention belongs to the technical field of medical diagnosis, and relates to a method for establishing a diagnosis model of liver and gallbladder disease and a diagnosis system. Background technique [0002] The liver is the most important metabolic organ of the human body. It is not only the most important metabolic site for endogenous metabolites (amino acids, sugars, lipids, etc.) The main detoxification organ of poison. Many factors (such as: high fat, high sugar, alcohol, chemical poisons, hepatitis virus, etc.) can cause damage to a healthy liver, and then develop into hepatitis, cirrhosis and liver cancer. With the progress of liver disease, the liver will have different metabolic phenotypes. According to the different metabolic phenotypes, the health status of the liver is divided into four levels, Phase 0 (Phase 0): healthy liver (healthy liver); Phase 1 (Phase 0). 1): Non-alcoholic fatty liver disease (NAFLD) / nonalcoholic steatohepatit...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N30/02G01N30/34G01N30/86
CPCG01N30/02G01N30/34G01N30/8675Y02A90/10
Inventor 宁慧张志永彭章晓胡哲陆嘉伟胡绪俊付艳蕾舒烈波
Owner 上海鹿明生物科技有限公司
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