Method for establishing liver cancer diagnosis model based on liver cancer triple detection

Abstract

The invention discloses a method for establishing a liver cancer diagnosis model based on liver cancer triple detection. The method comprises the following steps of: 1, establishing a primary hepatocellular carcinoma database of primary hepatocellular carcinoma clinical characterization and laboratory data, and collecting laboratory indexes of a patient; and 2, arranging laboratory indexes, and establishing a multi-factor Logistic regression model to obtain a liver cancer diagnosis model. The laboratory indexes of the liver cancer diagnosis model CGALAD comprise the basic information gender and age of a patient, and liver cancer serological marker alpha fetoprotein heteroplasmon, alpha fetoprotein and abnormal prothrombin. Laboratory indexes of the liver cancer diagnosis model LAD compriseliver cancer serological marker alpha fetoprotein heteroplasmon, alpha fetoprotein and abnormal prothrombin. Parameters of the two liver cancer diagnosis models are easy to obtain, the parameters areon the same inspection subdisciplinary detection platform, a single report unit is few, influence factors are few, so that the clinical applicability and feasibility of the method are high.

Description

technical field [0001] The invention belongs to the technical field of clinical examination and diagnosis, and in particular relates to a method for establishing a liver cancer diagnosis model based on liver cancer triple detection. Background technique [0002] Worldwide, the incidence of liver cancer accounts for the sixth among all cancers, and the mortality rate ranks the third, mainly including hepatocellular carcinoma (HCC) (about 75%-85%), intrahepatic cholangiocarcinoma (about 10%-15%) and some other rare pathological types. Although Chinese hepatologists and researchers have made remarkable progress in the prevention, diagnosis, management and treatment of liver diseases in the past two decades, the overall 5-year survival rate is still lower than 40%. Two-thirds of liver cancers are in the middle and advanced stages, and the best time for liver resection and liver transplantation has been lost, and even palliative treatment cannot be implemented. Therefore, findi...

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Problems solved by technology

Although the GAPTALAD model established by our team has a high diagnostic efficiency for HBV-related HCC, the laboratory indicators contained in the model involve detection systems of multiple clinical tests and multiple sub-disciplines, and there are many reporting units, so the use of the model will be affected. Limitations of many factors such as different testing sub-disciplines, different testing principles, and different instruments and equipment: First, the release time of the test reports of the professional groups of each testing sub-discipline is different, and the final model results require the coordination and cooperation of multiple professional groups, which limits the clinical suitability ; Second, the automatic calculation of model values ​​by too many reporting units has certain maintenance difficulties and the risk of result variation calculation; The final calculation results of the model may be biased

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