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Method and system for predicting survival rate after lung cancer operation

A postoperative survival rate technology, applied in the field of surgery, can solve the problem that the nomogram is not suitable for the prediction of postoperative disease-free survival rate of lung cancer patients

Active Publication Date: 2021-10-19
BIOISLAND LAB +1
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Problems solved by technology

Among them, parameter selection and nomogram are suitable for the postoperative disease-free survival rate of cervical cancer, while pregnancy and childbirth history, HPV typing, and FIGO staging are related indicators of cervical cancer, not lung cancer related indicators, while cervical cancer and lung cancer are related indicators. Two completely different types of diseases, so the nomogram in CN111640518A obtained from these indicators is not suitable for the prediction of postoperative disease-free survival rate in patients with early lung cancer

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  • Method and system for predicting survival rate after lung cancer operation
  • Method and system for predicting survival rate after lung cancer operation
  • Method and system for predicting survival rate after lung cancer operation

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Embodiment Construction

[0094] Hereinafter, exemplary embodiments of the present disclosure will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily realize them. Also, for clarity, parts not related to describing the exemplary embodiments are omitted in the drawings.

[0095] In the present disclosure, it should be understood that terms such as "comprising" or "having" are intended to indicate the existence of labels, numbers, steps, acts, components, parts or combinations thereof disclosed in this specification, and are not intended to exclude one or multiple other labels, numbers, steps, acts, parts, parts or combinations thereof exist or are added to the possibility.

[0096] In addition, it should be noted that, in the case of no conflict, the embodiments in the present disclosure and the labels in the embodiments can be combined with each other. The present disclosure will be described in detail below with reference to the accompanying...

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Abstract

The embodiment of the invention discloses a lung cancer postoperative survival rate prediction method and system. The method for predicting the survival rate after the lung cancer operation by measuring clinical data including gene mutation typing comprises the following steps: a data acquisition step: acquiring clinical data after the lung cancer operation; a preprocessing step: classifying and grouping the clinical data after the lung cancer operation to obtain modeling group clinical data and verification group clinical data; a risk factor screening step: performing risk factor screening on the clinical data of the modeling group to obtain risk factor data and total lifetime data; and a regression analysis step: carrying out regression analysis on the risk factor data and the total lifetime data to obtain data after regression analysis, and clinical data after the lung cancer operation comprises gene mutation typing, age, tumor size, lymph node metastasis and an operation mode.

Description

technical field [0001] The present disclosure relates to the field of surgery, and in particular to a method and system for predicting the survival rate of lung cancer after surgery by measuring clinical data including gene mutation typing. Background technique [0002] Early lung cancer includes a subset of stage I, II, and stage III disease. The standard treatment for non-small cell lung cancer is radical resection. After lung cancer surgery, it is necessary to predict the survival rate of patients after surgery. [0003] In the prior art, the TNM staging is used to predict the disease-free survival rate after lung cancer surgery. The seventh edition of the TNM staging system, the most widely used staging system, stratifies patients with non-metastatic NSCLC according to the size and extent of tumor invasion and lymph node involvement. However, the prediction of disease-free survival rate after lung cancer surgery by TNM staging is not accurate enough. The disease-free ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/70G16B20/50G06N20/00A61B5/00
CPCG16H50/70G16B20/50G06N20/00A61B5/7275
Inventor 何建行梁文华李坚福
Owner BIOISLAND LAB
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