Survival prediction method and system based on image genomics

A survival prediction and genomics technology, applied in the field of medical image processing, can solve the problems of lack of biological interpretability and survival prediction methods, and achieve the effect of improving biological interpretability and generalization ability

Active Publication Date: 2021-06-04
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The purpose of the present invention is to overcome the defects of the above-mentioned prior art, provide a survival prediction method and system based on ...

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  • Survival prediction method and system based on image genomics

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Embodiment Construction

[0028] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that the relative arrangements of components and steps, numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.

[0029] The following description of at least one exemplary embodiment is merely illustrative in nature and in no way taken as limiting the invention, its application or uses.

[0030] Techniques, methods and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, such techniques, methods and devices should be considered part of the description.

[0031] In all examples shown and discussed herein, any specific values ​​should be construed as exemplary only, and not as limitations. Therefore, other instances of the exemplary embodiment may have dif...

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Abstract

The invention discloses a survival prediction method and system based on image genomics. The method comprises the following steps: acquiring image data of tumor patients and lifetime data and RNA data of each patient, and establishing a data set; segmenting a tumor area of each patient from the image data; inputting the image data of each patient into a neural network to extract image features and cluster the image features to obtain a plurality of image modules; obtaining a gene module of each patient by using the RNA data; performing screening according to the correlation between the gene modules and the image modules, and selecting a plurality of gene modules and image modules which are strongly correlated; performing pathway enrichment on genes in the selected gene module to obtain a gene pathway related to the image module; calculating a gene set variation analysis score of the gene pathway, and retaining the gene pathway having strong correlation with the image module; and carrying out survival prediction by using the retained image features. According to the invention, the biological interpretability in the aspect of survival prediction can be improved, and the generalization ability of deep learning can be improved at the same time.

Description

technical field [0001] The present invention relates to the technical field of medical image processing, and more particularly, to a survival prediction method and system based on imaging genomics. Background technique [0002] The morbidity and mortality of tumors are very high, and it has become the main cause of human death due to diseases. Survival prediction analysis for cancer patients can provide clinicians with necessary prognostic information, help clinicians establish a clear treatment plan, improve the cure rate of tumors, effectively reduce the burden on patients, and improve the quality of life of patients with prognosis. The TNM staging system launched by the American Cancer Federation has been widely used in clinical tumor practice and is an important tool to guide prognosis. However, many studies have found that TNM cannot effectively distinguish the differences in survival outcomes of patients with different tumor characteristics. [0003] Imaging genomics...

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06K9/62G16B40/00G16B20/20G06N3/04G06N3/08
CPCG06T7/0012G06T7/11G16B40/00G16B20/20G06N3/04G06N3/08G06T2207/20081G06T2207/20084G06T2207/30096G06F18/213G06F18/23
Inventor 张圣海李志成赵源深孙秋畅梁栋
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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