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Exhalation-based lung cancer diagnosis method and system

A technology for lung cancer diagnosis and lung cancer cells, applied in diagnosis, disease diagnosis, neural learning methods, etc., can solve the problem of selecting lung cancer-specific biomarkers, etc., to achieve the effect of fast diagnosis time and overcoming heterogeneity

Active Publication Date: 2020-12-25
艾索波特株式会社
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Therefore, there is a problem that lung cancer-specific biomarkers of breath VOC cannot be selected by GC-MS

Method used

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  • Exhalation-based lung cancer diagnosis method and system
  • Exhalation-based lung cancer diagnosis method and system
  • Exhalation-based lung cancer diagnosis method and system

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Embodiment Construction

[0034] If referring to the following and attached Figure 1 With the detailed description of the embodiments, the purpose and effects of the present invention and the technical configuration for achieving them will be clarified. In describing the present invention, when it is judged that a detailed description of a known function or configuration may unnecessarily obscure the gist of the present invention, its detailed description will be omitted.

[0035] In addition, the terms described later are terms defined in consideration of functions in the present invention, and may vary depending on a user, an operator's intention, custom, or the like.

[0036] However, the present invention is not limited to the examples disclosed below, and may be embodied in various forms different from each other. However, the present embodiment is provided to make the disclosure of the present invention more complete and fully inform the scope of the invention to those skilled in the art to which...

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Abstract

The present invention relates to an exhalation-based lung cancer diagnosis method and system which may comprise the steps of: producing a surface enhanced Raman spectroscopy (SERS) substrate; elutingvolatile organic compounds (VOCs) included in each of a plurality of cells, supplying cell VOC eluates to the SERS substrate, and then measuring respective cell SERS signals thereof; learning signal patterns of each of the cells by applying deep-learning to each of the cell SERS signals; collecting patient exhalation and liquefying same by silicone oil, and supplying the liquefied patient exhalation to the SERS substrate and measuring an exhalation SERS signal, and then identifying the signal pattern of the exhalation by analyzing the exhalation SERS signal through the deep-learning result; and comparing and analyzing the signal patterns of each of the cell SERS signals with the signal pattern of the exhalation SERS signal, thereby identifying the cell SERS signal having the highest similarity to the exhalation SERS signal, and on the basis thereof, confirming whether a lung cancer cell is present or not, and notifying thereof.

Description

technical field [0001] The present invention relates to a technique for exhalation-based diagnosis of lung cancer, and to an exhalation-based lung cancer diagnosis method that enables the diagnosis of lung cancer in a manner that analyzes the difference in VOC components in the exhalation of lung cancer patients and normal people. Background technique [0002] Lung cancer is mainly diagnosed by CT (Computed Tomography: Computed Tomography) and biopsy, which is necessary for invasive procedures. [0003] However, with CT, there is a risk of radiation exposure, and it is only available in large hospitals, so it is difficult to diagnose. Due to the disadvantage of not being able to check lung cancer easily, it is not easy to achieve early diagnosis of lung cancer, which is also the reason for the high mortality rate of lung cancer. [0004] In order to overcome this disadvantage, a simple lung cancer diagnosis method using non-traumatic exhalation gas has been studied. In a b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/65A61B5/00G01N33/497G06N3/04G06N3/08
CPCG01N33/497G06N3/08A61B5/082G01N21/658G06N3/045G01N21/65A61B5/7267A61B5/0059G01N2033/4975G01N2800/50G06N3/042G01N2800/7028G06N3/04
Inventor 崔然皓成峻庆金贤九沈温申铉球
Owner 艾索波特株式会社
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