Cervical adenocarcinoma prognosis method

Abstract

The invention discloses a cervical adenocarcinoma prognosis method, and the method comprises the following steps: acquiring clinical pathological parameters, and establishing a corresponding array structure in a storage medium according to the clinical pathological parameters, wherein the clinical pathological parameters comprise histological grading, primary tumor staging, lymph node staging, distant metastasis staging, whether primary lesions are operated or not and the maximum diameter of primary tumors; storing the clinical pathological parameters in corresponding storage spaces in the array structure; arranging a space structure for storing a cervical adenocarcinoma prognosis model in the storage medium, and storing the established cervical adenocarcinoma prognosis model in the space structure; reading each clinical pathological parameter through a processor, inputting each clinical pathological parameter into the cervical adenocarcinoma prognosis model, and displaying data information in the form of a dynamic column diagram; and performing prediction according to the data information. According to the method, more intuitive and rational data are displayed through the dynamic column graph, so the decision-making and prognosis accuracy and efficiency of doctors are improved.

Description

technical field [0001] The invention relates to the field of medical technology, and more specifically, relates to a method for prognosis of cervical adenocarcinoma. Background technique [0002] Cervical adenocarcinoma (uterine cervical adenocarcinoma, UCA) is an important pathological type of cervical adenocarcinoma, accounting for about 10% to 25%. in the crowd. Since cervical adenocarcinoma is mostly endogenous, most lesions are located in the cervical canal, making early screening difficult; moreover, there are many histological types of adenocarcinoma and significant tumor heterogeneity; compared with squamous cell carcinoma, adenocarcinoma has a higher Lymph node metastasis, ovarian metastasis, distant metastasis rate, and poorer prognosis all make early diagnosis, effective treatment and prognosis assessment of cervical adenocarcinoma a dilemma for clinicians. At present, the treatment principles and prognosis of cervical adenocarcinoma mainly refer to the standard...

AI Technical Summary

Problems solved by technology

[0003] At present, there is a lack of corresponding prediction models for cervical adenocarcinoma. Most of the existing prediction models are displayed in the form of static nomograms, which cannot provide more intuitive and rational information for doctors' decision-making and prognosis.

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