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Prediction model for early diagnosis of lung cancer as well as related products and application thereof

A lung cancer and model technology, applied in the field of biomedicine, can solve problems such as low guiding significance, physical and mental harm to patients, unsatisfactory sensitivity and specificity, and achieve good clinical application prospects

Pending Publication Date: 2021-12-31
THE SECOND HOSPITAL OF DALIAN MEDICAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Pathological examinations, such as bronchoscopy, surgery, and CT-guided lung puncture, are all invasive operations, which cause serious physical and mental harm to patients and are costly
The sensitivity and specificity of traditional peripheral blood tumor markers are not ideal, and their guiding significance in clinical work is low

Method used

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  • Prediction model for early diagnosis of lung cancer as well as related products and application thereof
  • Prediction model for early diagnosis of lung cancer as well as related products and application thereof
  • Prediction model for early diagnosis of lung cancer as well as related products and application thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0060] Example Construction of a model for early diagnosis of lung cancer and verification of its diagnostic efficacy

[0061] 1. Experimental equipment

[0062] API3200 liquid chromatography-tandem mass spectrometer (Applied Biosystem, USA), equipped with electrospray ionization source (ESI) and Chemo View 1.4.2.

[0063] 2. Experimental reagents

[0064] Amino acids (alanine, arginine, asparagine, aspartic acid, citrulline, glutamine, glutamic acid, glycine, histidine, leucine, lysine, methionine, ornithine, phenylalanine, proline, serine, threonine, tryptophan, tyrosine, valine) and acylcarnitines (free carnitine, acetylcarnitine, propionylcarnitine, Butyryl Carnitine, Hydroxybutyryl Carnitine, Succinyl Carnitine, Isovaleryl Carnitine, Hydroxyisovaleryl Carnitine, Glutaryl Carnitine, Pentenoyl Carnitine, Caproyl Carnitine, Adipyl Carnitine Carnitine, Capryl Carnitine, Capryl Carnitine, Lauroyl Carnitine, Myristoyl Carnitine, Hydroxymyristoyl Carnitine, Myristoyl Carnitin...

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Abstract

The invention discloses a prediction model for early diagnosis of lung cancer as well as related products and application of the prediction model. The prediction model comprises the following factors: age, gender, arginine, aspartic acid, serine, glutaryl carnitine, isovaleryl carnitine and eicocarbonyl carnitine. The invention further provides a system and a device based on the prediction model and a computer readable storage medium, the early-stage rapid and effective prediction of the lung cancer can be realized, and the method has a very excellent application prospect.

Description

technical field [0001] The invention belongs to the technical field of biomedicine. Specifically, the invention relates to a predictive model for early diagnosis of lung cancer. More specifically, the present invention relates to a predictive model for early diagnosis of lung cancer and its related products and applications. Background technique [0002] Lung cancer (Lung cancer) is currently one of the malignant tumors with the highest morbidity and mortality in the world, and the morbidity and mortality of lung cancer have been increasing year by year in recent years. The 5-year survival rate of lung cancer is only 16.8% (Hance K W, Anderson W F, Devesa S S, et al. the National Cancer Institute, 2005, 97(13):966-975.). Non-small cell lung cancer (NSCLC) accounts for about 85% of all lung cancer pathological types, and NSCLC is divided into adenocarcinoma (Adenocarcinoma, AC), squamous cell carcinoma (Squamous cell carcinoma, SCC) and large cell carcinoma ( Large cell car...

Claims

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Application Information

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IPC IPC(8): G16H50/30G01N30/02
CPCG16H50/30G01N30/02
Inventor 王琪赵辉李晨维杜小慧李晓枫杜悦
Owner THE SECOND HOSPITAL OF DALIAN MEDICAL UNIV
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