Cervical adenocarcinoma prognosis method

A cervical adenocarcinoma and prognosis technology, applied in the medical field, can solve the problems that doctors cannot provide more intuitive and rational information for decision-making and prognosis, and lack of predictive models, so as to achieve the effect of improving accuracy and efficiency

Pending Publication Date: 2021-11-16
JIANGSU PROVINCE HOSPITAL THE FIRST AFFILIATED HOSPITAL WITH NANJING MEDICAL UNIV
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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...

Method used

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  • Cervical adenocarcinoma prognosis method
  • Cervical adenocarcinoma prognosis method
  • Cervical adenocarcinoma prognosis method

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Embodiment

[0035] Such as figure 1As shown, a cervical adenocarcinoma prognosis method includes the following steps: obtaining clinicopathological parameters of a patient, and establishing a corresponding array structure in a storage medium according to the quantity of the clinicopathological parameters, the clinicopathological parameters including histological grading , primary tumor stage, lymph node stage, distant metastasis stage, whether the primary lesion is operated or not, and the maximum diameter of the primary tumor, and store the clinicopathological parameters in the corresponding storage space in the array structure.

[0036] A space structure for storing the prognosis model of cervical adenocarcinoma is also provided in the storage medium, and the established prognosis model of cervical adenocarcinoma is stored in the space structure.

[0037] Reading each clinicopathological parameter in the array structure through the processor, and inputting the clinicopathological parame...

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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...

Claims

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Application Information

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IPC IPC(8): G16H50/30G16H50/70
CPCG16H50/30G16H50/70
Inventor 罗成燕程文俊倪笑马小玲邱江南周树林孙国栋袁琳姜旖
Owner JIANGSU PROVINCE HOSPITAL THE FIRST AFFILIATED HOSPITAL WITH NANJING MEDICAL UNIV
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