Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for prejudging risk of liver cirrhosis patient suffering from liver cancer

A technology for patients and liver cancer, used in biological testing, material inspection products, etc.

Inactive Publication Date: 2016-08-03
叶昭廷 +4
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, the availability and high cost of diagnostic equipment further limits the use of magnetic resonance imaging and computed tomography

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for prejudging risk of liver cirrhosis patient suffering from liver cancer
  • Method for prejudging risk of liver cirrhosis patient suffering from liver cancer
  • Method for prejudging risk of liver cirrhosis patient suffering from liver cancer

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0055] Example 1 Establishing Risk Index

[0056] The medical staff divided 193 patients with liver cirrhosis participating in the experiment of the present invention into two groups according to the results of the health check. The first cohort included 161 patients with hepatitis B who had never had liver cancer (labeled "non-hepatic cancer cohort"). The second cohort consisted of 32 patients with hepatitis B who had suffered from early-stage liver cancer and were cured after receiving clinical treatment (labeled "liver cancer cohort"). However, within one year after the grouping, 5 patients who originally belonged to the non-liver cancer group developed liver cancer one after another. After regrouping the 5 patients, the liver cancer group contained 37 patients, while the non-liver cancer group contained 156 patients. According to the baseline demographic data shown in Table 1, no significant differences existed between the HCC group and the non-HCC group.

[0057] Table...

Embodiment 2

[0082] Embodiment 2 verifies the risk index of embodiment 1

[0083] Using the formula established in Example 1 to calculate the risk index of 183 liver cirrhosis patients, and group them according to their risk index; wherein 85 patients belong to the low-risk group, and 38 patients belong to the moderate-risk group, The 60 patients belong to the high-risk group. These patients were followed for 1.5 years. During the observation period, no one in the low-risk group developed liver cancer, while three and seven patients in the intermediate-risk and high-risk groups were diagnosed with liver cancer, respectively. in accordance with figure 1 According to the cumulative risk curve shown, patients in the high-risk group are more likely to suffer from liver cancer than patients in the low- or medium-risk group, and there is a significant difference (p=0.0213).

[0084] In order to further confirm the accuracy of the method disclosed in this disclosure, a total of 344 patients (i...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present disclosure relates to a prognostic method for assessing the risk of liver cancer in a patient with liver cirrhosis. The method comprises: collecting blood samples of the patient with liver cirrhosis; analyzing a set of clinical data, the clinical data including fasting blood glucose, insulin, high-density lipoprotein, platelets, lymphocytes and neutrophils; analyzing the set of clinical data calculating a risk index; and making predictions based on the risk index. According to the risk index, the risk of liver cancer of the cirrhotic patient can be accurately and efficiently predicted, so that he can receive appropriate treatment in time.

Description

technical field [0001] This disclosure is in the field of prognosticating cancer. More specifically, the disclosure relates to a method for predicting whether liver cirrhosis patients will develop liver cancer. Background technique [0002] Liver cancer ranks fifth among the most prevalent solid malignant tumors in the world, and is the third leading cause of cancer-related death. About 70%–90% of liver cancer patients have a history of chronic liver disease and cirrhosis, which results from the repair of damaged liver cells by scar tissue. The main risk factors leading to cirrhosis include chronic infection of hepatitis B virus or hepatitis C virus, alcoholic liver disease (alcoholic liver disease) and non-alcoholic fatty liver disease (non-alcoholic fatty liver disease, NAFLD). Other carcinogenic factors that can lead to liver cancer include intake of aflatoxin-contaminated food, diabetes, obesity, hemochromatosis and other genetic diseases and metabolic disorders. [0...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G01N33/48
Inventor 叶昭廷梁恭豪简荣南胡琮辉张启仁
Owner 叶昭廷
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products