Method for establishing nasopharyngeal carcinoma distant metastasis predicting model

A technology of transfer prediction and method establishment, applied in medical simulation, image data processing, instruments, etc., can solve problems such as accurate judgment of prognosis information, and achieve the effect of improving accuracy and reducing costs

Pending Publication Date: 2019-08-09
TIANJIN MEDICAL UNIV CANCER INST & HOSPITAL +2
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Problems solved by technology

Although the molecular biological mechanism of distant metastasis has been studied clinically, there is no reliable method to accurately judge many prognostic information including distant organ metastasis.

Method used

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  • Method for establishing nasopharyngeal carcinoma distant metastasis predicting model
  • Method for establishing nasopharyngeal carcinoma distant metastasis predicting model
  • Method for establishing nasopharyngeal carcinoma distant metastasis predicting model

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Embodiment Construction

[0034] A method for establishing a nasopharyngeal carcinoma distant metastasis prediction model proposed by the present invention, such as figure 1 Shown is the system structure of the prediction model for distant metastasis of nasopharyngeal carcinoma. The method for establishing the model specifically includes:

[0035] (1) By reading the digital images of pathological sections of nasopharyngeal carcinoma patients scanned completely (multiple ≥ 400 times, resolution ≥ 12000×12000), and manually or software Outline the tumor cell area (resolution ≥ 1000×1000), and at the same time use a large number of stored digital images of nasopharyngeal carcinoma tumor pathology sections with known metastasis information as a training set for deep learning algorithms;

[0036] (2) Cut the outlined tumor area, and use the gray threshold method and Otsu threshold method to filter the background of the cut digital image to eliminate noise and dirty data; then perform normalization processin...

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Abstract

The invention discloses a method for establishing a nasopharyngeal carcinoma distant metastasis predicting model. The method comprises the steps of selecting a nasopharyngeal carcinoma tumor pathological slice digital image with known metastasis information as a training set of a deep learning algorithm; obtaining a processed nasopharyngeal carcinoma tumor pathological slice digital image; training and optimizing the processed nasopharyngeal carcinoma tumor pathological slice digital image and patient clinical information; establishing a function relation formula between a distant metastasis risk of a nasopharyngeal carcinoma patient and a score S, and performing interval classification on a P value with distant metastasis and the P value without distant metastasis. The invention providesthe method for establishing the nasopharyngeal carcinoma distant metastasis predicting model, wherein a deep learning algorithm is applied in pathology, and artificial intelligence technology is utilized for realizing establishment of a tumor prognosis predicting model.

Description

technical field [0001] The invention belongs to the field of computer-aided diagnosis systems, and more specifically, relates to a method for establishing a prediction model for distant metastasis of nasopharyngeal carcinoma. Background technique [0002] Nasopharyngeal carcinoma refers to malignant tumors that occur on the top and side walls of the nasopharyngeal cavity, and is one of the high incidence of malignant tumors in my country. The World Health Organization survey reported that 80% of nasopharyngeal cancer patients in the world are in China. The incidence of nasopharyngeal carcinoma is higher in southern China. According to reports, the incidence rate is 30 / 100,000 to 50 / 100,000 for men who live in central Guangdong Province and speak Cantonese dialect. As far as the whole country is concerned, the incidence rate of nasopharyngeal carcinoma gradually decreases from south to north, and the incidence rate in the far north is not higher than 2 / 100,000 to 3 / 100,000....

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/30G16H50/20G16H50/50G06T7/11
CPCG16H50/30G16H50/20G16H50/50G06T7/11G06T2207/20081G06T2207/30004G06T2207/20172
Inventor 徐波苏苒金强国刘晓峰尹珍珍陈扬
Owner TIANJIN MEDICAL UNIV CANCER INST & HOSPITAL
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