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System for accurately predicting prognosis of patient suffering from stomach cancer

A gastric cancer and patient technology, which is applied in the system field of accurately predicting the prognosis of gastric cancer patients, can solve the problem that the gastric cancer prognosis model has not been reported in large quantities, and achieve the effect of preventing the waste of medical resources, improving the accuracy, and avoiding insufficient treatment.

Inactive Publication Date: 2018-01-09
SUN YAT SEN UNIV
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AI Technical Summary

Problems solved by technology

However, a large-sample, individualized, and accurate prediction model for the prognosis of gastric cancer based on the Chinese gastric cancer population has not yet been widely reported.

Method used

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  • System for accurately predicting prognosis of patient suffering from stomach cancer
  • System for accurately predicting prognosis of patient suffering from stomach cancer

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Experimental program
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Effect test

Embodiment 1

[0031] The present invention first establishes a domestic multi-center, large sample, complete clinical database of clinical pathological data and follow-up data for gastric cancer, and selects 6753 patients who meet the requirements from the basic data of 10213 Chinese gastric cancer patients as the basis for constructing the prediction model It is divided into a model training set and two external validation sets for prediction and calculation of prediction accuracy. Finally, the predicted patient survival is compared with the actual survival of the patient to evaluate the prediction performance. The detailed results are as follows:

[0032] 1. Through conditional screening of 10,213 gastric cancer patients, gastric remnant cancer, multiple primary tumors, patients with preoperative chemotherapy, patients with distant metastases, patients with early tumors, patients with non-D2 radical resection, patients with non-R0 resection, and perioperative period were excluded. Dead pa...

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Abstract

The present invention provides a system for accurately predicting the prognosis of gastric cancer patients. The system is based on the Nomogram prognostic prediction model constructed by the present invention. Compared with the traditional TNM staging system, the system has high accuracy, individualized prediction, and conforms to Prognostic features of gastric cancer with Chinese characteristics.

Description

technical field [0001] The invention relates to a system for accurately predicting the prognosis of gastric cancer patients. Background technique [0002] At present, the global prognosis assessment system for malignant tumors is mainly based on the Tumor Invasion-Lymph Node Metastasis-Distant Metastasis (TNM) staging system developed by the International Union Against Cancer / American Cancer Society (UICC / AJCC). Biological characteristics, integrating the three basic characteristics of tumor invasion depth (T), lymph node metastasis (N) and whether there is distant metastasis (M) to evaluate the degree of tumor progression. It was first introduced in the 1940s and 1950s It was proposed by French scientist Pierre Denoix and organized by AJCC in 1977 to form the first version of TNM staging. Every few years thereafter, the AJCC will improve and update the staging based on the previous version and incorporate the latest clinical information. As of early 2017, the eighth editi...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 王玮方成周志伟
Owner SUN YAT SEN UNIV
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