Lung cancer TNM staging acquisition method and device

Abstract

The invention discloses a lung cancer TNM staging acquisition method and device. The method includes identifying a first target nodule in a first medical image; matching the first target nodule in a second medical image, and obtaining a second target nodule in the second medical image; acquiring long and short diameters of the second target nodule, and generating T stages at least according to thelong and short diameters of the second target nodule; identifying abnormal lymph nodes in the first medical image and generating N stages by judging whether the abnormal lymph nodes have metastasis or not; identifying whether the first target nodule in the first medical image has distant metastasis or not, and generating M stages according to whether the first target nodule has distant metastasisor not; and generating a TNM stage according to the T stage, the N stage and the M stage; wherein the first medical image and the second medical image are different modal medical images for the samepatient and the same part. According to the scheme, the TNM staging generation efficiency is effectively improved, doctors can conveniently and quickly know the illness state of a patient, and the diagnosis efficiency is improved.

Description

technical field [0001] The present invention relates to the technical field of machine learning, in particular to a method and device for automatically obtaining TNM staging of lung cancer in combination with image recognition. Background technique [0002] The TNM staging of intrapulmonary tumors is currently the commonly used clinical staging standard for lung cancer. The staging of lung cancer is judged comprehensively through the composition of three aspects of staging, which specifically include: used to indicate the size and location of the primary tumor, the distance from the tissue trachea and carina Far and near, whether there is invasion of pleura, chest wall, whether there is atelectasis or pneumonia, whether it invades the mediastinum or heart and great vessels, etc. T stage; used to indicate regional lymph nodes, including intrapulmonary, hilar, mediastinal and distant lymph nodes N stage for the presence or absence of metastasis; M stage for the presence or abs...

AI Technical Summary

Problems solved by technology

Therefore, every time the TNM stage is determined, the doctor must personally measure the size of the nodule, record the location of the nodule, determine the relevant information, and check the TNM stage against the table. Using this method to determine the TNM stage is inefficient and error-prone

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