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Gastric cancer prognosis prediction device

A prediction device, a technology for gastric cancer, applied in the field of medical imaging, can solve the problems of prediction of curative effect of patients with TNM staging, large individual differences of gastric cancer patients, and a reasonable and effective gastric cancer prognosis prediction device has not been provided, so as to achieve the effect of guaranteeing the prediction effect

Pending Publication Date: 2021-07-09
上海福君基因生物科技有限公司
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Problems solved by technology

[0004] However, due to the large individual differences in gastric cancer patients and the heterogeneity of tumor cells, the traditional TNM staging cannot fully meet the clinical prediction of patient efficacy. Related technologies have not yet provided a reasonable and effective gastric cancer prognosis prediction device

Method used

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  • Gastric cancer prognosis prediction device
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Embodiment Construction

[0037] In order to make the purpose, technical solution and advantages of the present application clearer, the implementation manners of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0038] Gastric cancer is one of the most common cancerous tumors, ranking fourth in cancer deaths. The incidence and death cases of gastric cancer in China account for nearly half of the world, most of the patients are found in late stage, and the 5-year survival rate is only 20-25%. At present, the prognosis of patients with gastric cancer is generally evaluated clinically through cytomorphological and histopathological examinations, including the area, benign and malignant nature, staging, and typing of various tumor diseases, so as to select the correct treatment plan for the clinic. provide basis for diagnosis. Pathological TNM staging is the most classic way to evaluate the prognosis of gastric cancer. However, due to the ...

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Abstract

The invention discloses a gastric cancer prognosis prediction device, which belongs to the technical field of medical images. The device comprises a first acquisition module, a second acquisition module and a determination module, wherein the first acquisition module isused for acquiring a gastric cancer digital pathological image corresponding to a gastric cancer tissue slice to be detected; the second acquisition module is used for acquiring inter-cell distance information on the gastric cancer digital pathological image, and the inter-cell distance information is used for indicating the tightness degree between different immune cells; and the determination module is used for determining a prognosis prediction result corresponding to the gastric cancer tissue slice according to the intercellular distance information. According to the embodiment of the invention, the gastric cancer prognosis is predicted based on the inter-cell distance information, and compared with a traditional TNM staging prognosis judgment device, the prediction effect of the gastric cancer prognosis is ensured.

Description

technical field [0001] The embodiments of the present application relate to the technical field of medical images, and in particular to a gastric cancer prognosis prediction device. Background technique [0002] At present, the prognosis of gastric cancer is generally evaluated clinically through cytomorphological and histopathological examinations, including the area, benign and malignant nature, staging, and typing of various tumor diseases, so as to provide information for clinical selection of the correct treatment plan and postoperative diagnosis. in accordance with. [0003] In related technologies, the prognosis of gastric cancer is mainly based on the pathological tumor infiltration-lymph node metastasis-distant metastasis (English: TNM) staging system. (N) and whether there is distant metastasis (M) are integrated to evaluate the degree of progression of gastric cancer. [0004] However, due to the large individual differences in gastric cancer patients and the he...

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Application Information

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IPC IPC(8): G01N1/28G01N1/31
CPCG01N1/2813G01N1/31
Inventor 贾佳赵永田
Owner 上海福君基因生物科技有限公司
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