Hepatobiliary cancer patient survival rate predicting data collecting system and model constructing method

A technology of hepatobiliary tumor and prediction model, which is applied in the field of data collection system and model construction for predicting survival rate of patients with hepatobiliary tumor

Active Publication Date: 2019-08-20
THE FIFTH MEDICAL CENT OF CHINESE PLA GENERAL HOSPITAL
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] In order to overcome the problems in the prior art that there are no models and related construction methods for predicting the survival rate of liver-related tumors, the present invention provides a data collection system and model construction method for predicting the survival rate of patients with liver and gallbladder tumors

Method used

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  • Hepatobiliary cancer patient survival rate predicting data collecting system and model constructing method
  • Hepatobiliary cancer patient survival rate predicting data collecting system and model constructing method
  • Hepatobiliary cancer patient survival rate predicting data collecting system and model constructing method

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Effect test

Embodiment 1

[0084] Construction method and verification of the model of embodiment 1

[0085] 1. Patient recruitment and receipt collection

[0086] Through this system, 540 patients with hepatobiliary tumors were recruited in the recruitment system, and the neutrophil-to-lymphocyte ratio (Neut-to-Lymph Ratios), pre-albumin (Pro-albumin), lactate dehydrogenase (lactatedehydrogenase), LDH), fibrinogen (Fibrinogen), carbohydrate antigen CA125, carbohydrate antigen CA199, carcino-embryonic antigen (CEA), clear tumor margin (Tumor-at-Margin) and other relevant detection indicators.

[0087] 2. Statistics on the overall life expectancy of the population

[0088] According to the statistics of all patients with cholangiocarcinoma from discovery to death, the specific death time and survival time are counted.

[0089] The result is, if figure 1 The median survival time of patients with cholangiocarcinoma shown is 392 days, which is about 1 year, so the one-year survival rate is used as a time s...

Embodiment 2

[0119] Example 2 A device for predicting the survival rate of patients with liver and gallbladder tumors

[0120] Display the one-year survival rate prediction model in the form of a plane or set it on the model display board. Set a test index score reference line on the top of the plane or model display board, and set the score lines of each test index test result in turn correspondingly below the plane or model display board. , the corresponding test result score corresponds to the corresponding score on the upper score scale, and in addition, the bottom two lines are the total score scale line and the one-year survival rate scale corresponding to the corresponding score is set below the total score scale line.

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Abstract

A hepatobiliary cancer patient survival rate predicting data collecting system comprises a patient recruiting part, a patient information part, a patient follow-up surveying part and a data analysis part. The system is characterized in that the patient is recruited through the patient recruiting part; the information of the recruited patient is input into the patient information part; the information through the patient follow-up surveying part is input into the patient information part; and the data analysis part extracts the required information from the patient information part for performing analysis. Through the data collected by the system and data arrangement analysis, the hepatobiliary cancer one-year survival rate predicting model is constructed. Through constructing the model inone plane for displaying through each scale line, in predicting the one-year survival rate of the patient in future, the score of each index can be read through the model, and finally the total scorewhich corresponds with each index is obtained. By means of correspondence between a total score and the scale line of the one-year survival rate, the final one-year survival rate is obtained, therebygenerating a basis to the doctor and the patient. Predicting is performed after treatment, and the treatment effect can be effectively understood.

Description

technical field [0001] The invention belongs to the technical field of tumor survival rate prediction methods and systems, in particular to hepatobiliary tumors, in particular to a data collection system and model building method for hepatobiliary tumor patient survival rate prediction. Background technique [0002] Liver tumors refer to tumor lesions that occur in the liver. The liver is one of the predilection sites for tumors, benign tumors are rare, and metastatic tumors are more common in malignant tumors. Primary tumors can occur in hepatocyte cords, bile duct epithelium, blood vessels, or other mesoderm tissues. Most metastatic tumors are metastatic carcinomas, and a few are metastatic sarcomas. [0003] Since the liver is the largest solid organ in the human body and undertakes various important metabolic functions of the human body, once a malignant tumor occurs in the liver, it will lead to serious life-threatening consequences. And because the liver has a rich b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/70
CPCG16H50/70
Inventor 陆荫英贾晓东卢姗姗张婷吴大为陈香玲白隽帆曾珍董政路营向娇
Owner THE FIFTH MEDICAL CENT OF CHINESE PLA GENERAL HOSPITAL
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