Esophageal squamous carcinoma radical postoperative patient prognosis prediction model construction method and device

Abstract

The invention discloses an esophageal squamous carcinoma radical postoperative patient prognosis prediction model construction method and device, and the method comprises the steps: obtaining clinical diagnosis and treatment data and follow-up visit survival data, carrying out multi-factor Cox regression analysis on patient characteristic variables, tumor pathology characteristic variables, treatment condition variables and test index variables according to follow-up visit survival data, carrying out variable screening by utilizing a step-by-step back algorithm and an Akaike information criterion, and carrying out variable screening on the screened candidate variables again to obtain modeling variables; and performing multi-factor Cox regression analysis on modeling variables and interaction items of every two modeling variables to construct a prognosis prediction model of a patient after the esophageal squamous carcinoma radical operation, wherein the prediction variables comprise age, gender, tumor primary position, T stage, lymph node detection number, tumor size, preoperative hemoglobin level and N stage treatment mode interaction items. According to the method, the prediction accuracy can be improved, the optimal benefit group of different treatment schemes is defined, and the prognosis evaluation precision of the esophageal squamous cell carcinoma is realized.

Description

Technical field [0001] The present invention relates to the field of medical technology, in particular, to the constructing method and apparatus for prognostic prediction model after esophageal squamous carcinoma root treatment. Background technique [0002] Esophage Cancer (EC) is one of the common upper disintegration malignant tumors. In 2018, the new episode of global esophageal cancer was about 572,000 cases, which was about 509,000 cases of esophageal cancer deaths, ranked 7th and 6th grades of morbidity and death of malignant tumors. Esophageal cancer is the special tumor species in my country. About half a new number of new cases and deaths occur in my country, histological types are mainly based on esophageral squamous cell carcinoma, ESCCs, accounting for more than 90%. In 2015, my country's esophageal cancer has been about 246,000 cases, and the number of deaths is approximately 188,000, and the 6th and fourth positions of malignant tumor spectrum are raised. Because e...

AI Technical Summary

Problems solved by technology

[0005] However, when the TNM staging system is used to predict the prognosis of esophageal squamous cell carcinoma, the curative effect and survival prognosis of patients with the same stage and grade are very different after taking the same treatment measures; or the same disease with different treatments, the results are the same

It can be seen that the current TNM staging system and single-standard prognosis prediction accuracy for esophageal squamous cell carcinoma is low, and it is impossible to accurately estimate the probability of a patient's prognosis

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