Method for researching postoperative recurrence related factors of non-small cell lung cancer patient

A technology of non-small cell lung cancer and related factors, applied in the field of computer-aided medicine, can solve the problems of narrow information surface, low accuracy of prediction and judgment, and inability to accurately quantify, and achieve the effect of improving accuracy.

Pending Publication Date: 2020-02-18
UNIV OF SHANGHAI FOR SCI & TECH
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Problems solved by technology

However, this type of index has limitations: 1. There are few types of clinical information that can be used, and it cannot be accurately quantified (usually it can only be judged as 0 or 1 based on its presence or absence), and this method of judgment cannot distinguish There are s

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  • Method for researching postoperative recurrence related factors of non-small cell lung cancer patient
  • Method for researching postoperative recurrence related factors of non-small cell lung cancer patient
  • Method for researching postoperative recurrence related factors of non-small cell lung cancer patient

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[0029] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be further described below.

[0030] Such as figure 1 As shown, the present invention proposes a method for researching factors related to postoperative recurrence of patients with non-small cell lung cancer, comprising the following steps:

[0031] Step 1: Processing of CT images: The interactive medical image control system Minics software is used to find the tumor from the CT images and frame the approximate area to obtain tumor sequence images. Then, the semi-automatic segmentation method is used to segment the tumor, and different segmentation schemes are adopted for different types of tumors: (1) isolated tumor: the intersection of the segmentation results of the threshold segmentation algorithm and the active contour model algorithm (Snakes model); (2) adhesion Tumors of the lung wall: First, use the "rolling ball...

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Abstract

The invention provides a method for researching postoperative recurrence related factors of a non-small cell lung cancer patient based on multi-omics in a CT mode, and belongs to the field of computer-aided medicine. The method comprises the following steps: firstly, carrying out segmentation and image omics feature extraction on lung tumors; secondly, fusing the image omics characteristics with other omics characteristics to obtain a tumor multi-omics characteristic original data set; secondly, performing single-factor analysis on the multi-omics characteristic data and the recurrence condition of the patient by adopting an independent sample T test method to obtain recurrence related factors with statistical difference; and finally, substituting the factors with statistical difference into a Logistic regression analysis method to screen out significant characteristic factors related to recurrence of the non-small cell lung cancer, and constructing a model for verification. The invention provides a new scheme for exploring the relationship between the multi-omics characteristics under the CT mode and the postoperative recurrence condition of the patient.

Description

technical field [0001] The invention relates to the technical field of computer-aided medical treatment, in particular to a method for researching factors related to postoperative recurrence of patients with non-small cell lung cancer. Background technique [0002] The International Agency for Research on Cancer (IARC) of the World Health Organization (WHO) recently released a new report stating that lung cancer is the malignant tumor with the fastest-growing morbidity and mortality worldwide, and it is expected to cause 1.8 million deaths in 2018, accounting for 1% of the estimated cancer deaths. 18.4% of the total population. According to histological classification, lung cancer is divided into non-small cell lung cancer and small cell lung cancer. Among them, non-small cell lung cancer (NSCLC) accounts for 80% to 85% of the total number of lung cancer patients, including squamous Cell carcinoma (squamous cell carcinoma), adenocarcinoma, large cell carcinoma. Compared wi...

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Application Information

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IPC IPC(8): G06T7/11G06T7/136G16H30/00G16H70/60G16H50/30
CPCG06T7/11G06T7/136G16H30/00G16H70/60G16H50/30G06T2207/30096G06T2207/30061
Inventor 聂生东王旭李丽方蓉骆义超雷珍周洁文
Owner UNIV OF SHANGHAI FOR SCI & TECH
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