Establishment method and application of tumor classification and identification model

A technology for identifying models and establishing methods, which is applied in the field of tumor diagnosis and medical disease diagnosis. It can solve the problems of inability to screen and diagnose early tumor micro-tumor tissues, time-consuming, complicated sample pretreatment, etc., and reduce the incidence and death of tumors. High efficiency, easy access, and fast detection

Active Publication Date: 2018-06-15
HARBIN INST OF TECH
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  • Summary
  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0005] In view of the current pathological diagnosis that requires the location and collection of tumor lesions, sample pretreatment is complicated and time-consuming; and the existing technology cannot screen and diagnose small tumor tissues such as early tumors, minimal residual disease, and circulating tumors. The invention provides a method for establishing a tumor classification and identification model and its application

Method used

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  • Establishment method and application of tumor classification and identification model
  • Establishment method and application of tumor classification and identification model
  • Establishment method and application of tumor classification and identification model

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specific Embodiment approach 1

[0046] Specific Embodiments 1. For the establishment method of the tumor classification and identification model described in this embodiment, see figure 1 As shown, the method is implemented in conjunction with chemometrics and machine learning classification algorithms, and the method is specifically as follows:

[0047] (1) Take biological fluid samples from tumor patients diagnosed by tumor pathology and healthy control groups, and establish a biological fluid sample bank;

[0048] (2) After the samples in the biological fluid sample bank are pretreated, plasma is formed on the samples, and trace elements in the samples are excited to generate emission spectra;

[0049] (3) Use the spectral detection module to measure the emission spectrum of the biological fluid sample plasma, select the detection delay to be 0.1-100 μs, and the detection gate width to be 0.01-10 μs. The signal-to-noise ratio of the obtained emission spectrum is ≥ 10, and the signal-to-background ratio is...

specific Embodiment approach 2

[0052] Embodiment 2. This embodiment is a further limitation of the method for establishing the tumor classification and identification model described in Embodiment 1. In this embodiment:

[0053] The tumor in step (1) includes lymphoma, leukemia, multiple myeloma, thyroid cancer, lung cancer, esophageal cancer, gastric cancer, liver cancer, colon cancer, rectal cancer, breast cancer, ovarian cancer, cervical cancer, endometrial cancer, At least one of bladder cancer, prostate cancer, and kidney cancer.

[0054] When one of the tumors is selected, the model established in this embodiment is suitable for classifying and identifying the tumor. Similarly, when multiple tumors are selected, the model is suitable for classifying and identifying multiple tumors.

specific Embodiment approach 3

[0055] Specific embodiment three. This embodiment is a further limitation on the establishment method of the tumor classification and identification model described in specific embodiment one. In this embodiment:

[0056] The biological fluid sample in step (1) refers to blood (including whole blood, serum, plasma, blood cells, platelets), urine or equivalent biological fluid.

[0057] The biological fluid sample in this embodiment can be selected arbitrarily according to the actual situation.

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Abstract

The invention discloses an establishment method and application of a tumor classification and identification model, belongs to the field of medical disease diagnosis, aims at the problems that samplepreprocessing is complex and time-consuming due to need of location and collection of tumor focus specimens in current pathological diagnosis, small tumor tissues such as early tumor, small residual diseases and circulating tumor cannot be screened diagnosed in the prior art, and provides the establishment method of the tumor classification and identification model. The method is established basedon a plasma emission spectrum of a biological liquid sample, and is combined with chemometrics and a machine learning classification algorithm. The model established through the method can be integrated into a tumor diagnosis and screening instrument, and a rapid and accurate method for large-scale tumor screening and diagnosis of the early tumor and precancerous lesion stage diseases is provided.

Description

technical field [0001] The present invention belongs to the field of medical disease diagnosis, in particular, to the field of tumor diagnosis. The invention provides a method for establishing a tumor classification and identification model, and the tumor classification and identification model established based on the method can be applied to the diagnosis and screening of tumor diseases. In addition to being applicable to humans, the present invention is also applicable to other animals capable of obtaining samples of blood, urine or equivalent biological fluids. Background technique [0002] Malignant tumors are one of the major diseases that threaten human health. According to the GLOBOCAN report issued by the International Agency for Research on Cancer (IARC), in 2012, there were 14.1 million new cases of malignant tumors in the world, 8.2 million deaths, and 32.55 million current patients. According to data released by the National Cancer Center of my country in 2017...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/552
CPCG01N21/553
Inventor 李晓晖于欣樊荣伟陈德应
Owner HARBIN INST OF TECH
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