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Lung cancer typing judgment system based on mass spectrum imaging technology

An analysis system and matrix technology, applied in image analysis, medical images, analysis materials, etc., can solve problems such as time-consuming, complicated pre-processing, and lack of indexing standards

Pending Publication Date: 2022-03-18
SHIMADZU (CHINA) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] At present, the benign and malignant judgment and subtype classification of lung cancer in the clinical field mainly rely on morphological and pathological methods such as HE staining and immunohistochemistry, combined with NGS molecular pathological indicators. The treatment is complicated, and the diagnosis relies heavily on the doctor's personal experience and judgment, lacking index standards
There is no report in the prior art that a simple detection method can simultaneously distinguish and identify the types of benign and malignant lung cancer, small cell carcinoma and non-small cell carcinoma, adenocarcinoma and squamous cell carcinoma

Method used

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  • Lung cancer typing judgment system based on mass spectrum imaging technology
  • Lung cancer typing judgment system based on mass spectrum imaging technology
  • Lung cancer typing judgment system based on mass spectrum imaging technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] 1. Sample preparation and machine: After the clinical samples are frozen, slices are prepared by a cryostat. After the prepared slices were sublimated by the iMLayer Matrix Vapor Deposition System (iMLayer Matrix Vapor Deposition System), the imaging mass spectrometer iMScope TRIO was used for analysis, such as figure 1 Shown:

[0041] Substrate coating conditions

[0042] Substrate type 9-aminoacridine (9AA) Substrate coating mode Sublimation method (iMLayer) Sublimation Thickness 0.9μm

[0043] Imaging Mass Spectrometry Conditions

[0044] analysis mode negative ion mode collection range m / z 500-1000 Laser diameter 40μm collection interval 100μm

[0045] 2. Software processing and calculation: use Imaging MS Solution Postrun Analysis to process the above collected data. The images of m / z 775.55, m / z 885.55, m / z 861.55, m / z 673.48 and other fragments were extracted respectively. according to ...

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Abstract

According to the invention, the sample is subjected to single collection and different distribution markers are directionally extracted in a mass spectrum imaging manner, so that direct typing discrimination and diagnosis of benign and malignant lung cancer, small cell cancer and non-small cell cancer, adenocarcinoma and squamous cell cancer and the like can be realized without the help of other traditional pathological diagnosis methods.

Description

technical field [0001] The invention relates to a medical detection system, in particular to a lung cancer typing judgment system based on mass spectrometry imaging technology. Background technique [0002] Lung cancer is a heterogeneous disease and one of the malignant tumors with the fastest-growing morbidity and mortality and the greatest threat to the health and life of the population. According to reports, the incidence and mortality of lung cancer in many countries have increased significantly in the past 50 years. The incidence and mortality of lung cancer in men account for the first of all malignant tumors, and the incidence and mortality of lung cancer in women occupy the second place. . The pathological types of lung cancer mainly include non-small cell lung cancer and small cell lung cancer. Non-small cell lung cancer accounts for about 80%-85% of lung cancer, including adenocarcinoma and squamous cell carcinoma. Small cell lung cancer accounts for about 15%-2...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N27/62G06T7/00G16H30/20
CPCG01N27/62G06T7/0012G16H30/20G06T2207/10056
Inventor 汤博崇李杰石怀银李晓东曹磊
Owner SHIMADZU (CHINA) CO LTD
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