Method for establishing early lung cancer risk assessment model in combination with imaging analysis result

A technology for risk assessment model and analysis results, applied in informatics, medical imaging, medical informatics, etc., can solve the problem of relatively few studies on malignant tumors, lack of intervention indicators for behavioral habits, lack of specific risk assessment and prediction models for chronic diseases, etc. question

Inactive Publication Date: 2019-05-28
杭州英库医疗科技有限公司 +1
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Problems solved by technology

[0003] At present, domestic and foreign studies on chronic disease risk assessment models mainly have the following characteristics: (1) most of the studies are prospective cohort studies, and most of the observation time is 5 or 10 years; (2) the universality of the model is poor, and there are local (3) Most of the variables included in the model are unmodifiable factors (such as age, gender, family history, ...

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  • Method for establishing early lung cancer risk assessment model in combination with imaging analysis result
  • Method for establishing early lung cancer risk assessment model in combination with imaging analysis result
  • Method for establishing early lung cancer risk assessment model in combination with imaging analysis result

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[0015] The specific implementation manners of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0016] The specific implementation process is as follows:

[0017] 1. Analyze and evaluate the benign and malignant pulmonary nodules based on CT image data, collect and organize the CT image data of each patient, and determine the last set or several sets of CT image data before the diagnosis of the patient. Use different segmentation methods for different pulmonary nodule types to segment the pulmonary nodule area, and then extract the feature data of the segmented area in terms of grayscale, shape and texture, as shown in Table 1, and then use PCA (mainly Component analysis) screening and optimization of feature data, using the feature data after screening and optimization to analyze and evaluate the benign and malignant of the corresponding pulmonary nodules, as the result of the patient's disease assessment based on CT imag...

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Abstract

The invention provides a method for establishing an early lung cancer risk assessment model in combination with an imaging analysis result and belongs to the field of computer aided medicine. On the basis of a traditional risk assessment model, an analysis result based on iconography is combined. A lung nodule benign and malignant judgment result based on CT images is used as one of dangerous factors. The lung nodule benign and malignant judgment result and other dangerous factors such as the smoking history and the family medical history are used as factors of the same level to establish an early-stage lung cancer risk assessment model. Therefore, the accuracy and the reliability of the prediction model are effectively improved.

Description

technical field [0001] The invention relates to the field of computer-aided medicine, and relates to a method for establishing an early lung cancer risk assessment model combined with imaging analysis results. Background technique [0002] In recent years, some studies on tumor risk assessment have been actively carried out in China, but most of them still use foreign models to assess the risk of cancer in Chinese people, such as using the Gail model to assess the risk of breast cancer in Chinese women. There are differences between the Chinese population and the European and American population in terms of physiological characteristics, living environment, and living habits. Therefore, the risk model developed based on the European and American population is not fully applicable to the Chinese population. At present, there is still a lack of specific malignant tumor risk assessment models suitable for the Chinese population. It is of great significance to build a tumor ris...

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Application Information

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IPC IPC(8): G16H50/30G16H30/20G06F17/18
Inventor 郑军聂生东何永刚吴文浩顾海洋郭小辉
Owner 杭州英库医疗科技有限公司
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