Tool and system for testing papillary thyroid carcinoma

A technique for papillary carcinoma and thyroid, which is applied in the field of tools and systems for testing papillary thyroid carcinoma, can solve the problems of lack of practical application value and incomplete lectin data, and achieves the effects of objective detection, high sensitivity and convenient sampling

Pending Publication Date: 2022-05-24
NORTHWEST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The lectin data applied by this method is not comprehensive, and only the lectin data showing the up-regulation

Method used

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  • Tool and system for testing papillary thyroid carcinoma
  • Tool and system for testing papillary thyroid carcinoma
  • Tool and system for testing papillary thyroid carcinoma

Examples

Experimental program
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specific Embodiment

[0069] The present invention provides an embodiment:

[0070] like figure 1 , a system for testing papillary thyroid cancer, comprising: a data acquisition module 100 for acquiring lectin chip data according to a saliva sample, a model building module 200, and the testing tool 300 for papillary thyroid cancer as described above; wherein, The model building module 200 interacts with the data acquisition module 100 to form classification labels and features using the lectin chip data, so as to construct and train a papillary thyroid cancer discrimination model; the above-mentioned papillary thyroid cancer test The tool 300 performs data interaction with the data acquisition module 100, and is used to identify the saliva of the patient to be diagnosed by using the trained papillary thyroid cancer discrimination model to determine whether the patient to be diagnosed is a papillary thyroid cancer patient; specifically , the data collection module 100 is used for collecting samples...

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Abstract

The invention provides a tool and a system for testing papillary thyroid carcinoma. The tool comprises a processor and a storage medium, the storage medium performs data interaction with the processor, and is used for executing the following steps when a program stored in the storage medium is loaded by the processor: identifying lectin chip data of saliva of a patient to be diagnosed through a papillary thyroid carcinoma identification model, and determining whether the patient to be diagnosed is a papillary thyroid carcinoma patient. According to the tool for testing papillary thyroid carcinoma, saliva of a patient to be diagnosed is identified through the papillary thyroid carcinoma diagnosis module, whether a sample to be diagnosed is a papillary thyroid carcinoma sample or not is determined, and the tool has the advantages of being convenient to sample and high in sensitivity; and whether a subject suffers from papillary thyroid carcinoma or not can be quickly identified.

Description

technical field [0001] The invention relates to the field of biological computers, in particular to a tool and system for testing papillary thyroid cancer. Background technique [0002] Thyroid cancer (TC) is the most common malignant tumor in the endocrine system. With the advancement of diagnostic technology, its incidence rate is increasing rapidly. According to the 2020 Global Cancer Statistics Report, thyroid cancer ranks among the new cases with more than 580,000 cases. Ninth in the top ten cancer incidence rates. Papillary thyroid cancer (PTC) is the most common subtype, accounting for 80% of new cases, and has the best overall prognosis. Thyroid cancer remains the best way to prevent and treat thyroid cancer through early detection of at-risk patients, and current treatments are effective in treating thyroid cancer. [0003] The current gold standard for diagnosing thyroid cancer is ultrasound-guided fine needle aspiration cytology (FNA). Some articles have pointed...

Claims

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Application Information

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IPC IPC(8): G06V10/764G06V10/774G06V10/80G06T7/00G01N21/64G01N33/574G01N33/58
CPCG06T7/0012G01N21/64G01N33/57407G01N33/57488G01N33/582G06T2207/10064G06T2207/20081G06T2207/30072G06T2207/30096G06F18/254G06F18/259G06F18/24G06F18/214
Inventor 李铮任夏萌舒健于汉杰
Owner NORTHWEST UNIV
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