Pancreatic neuroendocrine tumor recurrence prediction system and method, terminal and medium

Abstract

The invention belongs to the technical field of medical information processing, and discloses a pancreatic neuroendocrine tumor recurrence prediction system and method, a terminal and a medium. The method comprises the following steps that a pancreatic neuroendocrine tumor information determination module determines the lymph node condition of a pancreatic neuroendocrine tumor and accurately measures the maximum diameter of the tumor by using a histological method; a tumor cell expression quantity score determination module is used for detecting expression of YTHDF2 in tumor cells by using an immunohistochemical method and determining an expression quantity score; a pancreatic neuroendocrine tumor metastasis index acquisition module is used for dividing the three indexes into a low-risk group, a medium-risk group and a high-risk group according to the tumor size, the YTHDF2 expression quantity score and whether the pancreatic neuroendocrine tumor lymph node is metastatic or not, so as to judge the recurrence risk of the pancreatic neuroendocrine tumor. According to the method, the recurrence of the patient can be predicted more objectively and more accurately, the postoperative detection can be conveniently and accurately guided, and the purposes of accurate treatment and individualized treatment can be achieved.

Description

technical field [0001] The invention belongs to the technical field of medical information processing, and in particular relates to a pancreatic neuroendocrine tumor recurrence prediction system, method, terminal and medium. Background technique [0002] At present, pancreatic neuroendocrine tumors are a rare and heterogeneous group of pancreatic tumors, which are believed to originate from neuroendocrine cells, and can be divided into functional tumors according to whether the tumor cells can abnormally produce and secrete hormones with biological functions. There are two types: sexual and non-functional [1]. The incidence of pancreatic neuroendocrine tumors then increased over the last 20 years to 1 in 100,000 per year [2]. This is partly due to the widespread use of imaging techniques in clinical practice. Since most pancreatic neuroendocrine tumors are non-functional and asymptomatic, many patients are already at an advanced stage when they are diagnosed, and about 21%...

AI Technical Summary

Problems solved by technology

[0025] (1) In the existing technology, the recurrence prediction data of pancreatic neuroendocrine tumors are poorly accurate, and cannot provide data support for precise treatment and individualized treatment

The prediction methods in the prior art are poor in objectivity and simplicity

At present, there are no related patents and literature reports at home and abroad

[0026] (2) In the prior art, it is mainly based on the subjective judgment of the pathologist on the morphology of the tumor, which is highly subjective and closely related to the personal experience of the pathologist, and the repeatability is poor

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