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Pulmonary tuberculosis risk assessment method and system based on exhaled gas mass spectrum detection

A technology for risk assessment and pulmonary tuberculosis, applied in measurement devices, material analysis by electromagnetic means, instruments, etc., can solve the problems of speed, convenience, cost, insufficient detection conditions, low detection limit of tuberculosis detection technology, and fast detection speed, etc. Achieve the effect of fast detection speed, high sensitivity and high resolution

Pending Publication Date: 2022-04-12
SHENZHEN BREATHA BIOTECHNOLOGY CO LTD
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Problems solved by technology

[0005] The purpose of the present invention is to provide a tuberculosis risk assessment method, system and storage medium based on exhaled mass spectrometry detection, aiming to solve the problems of the existing tuberculosis detection technology in terms of speed, convenience, cost, and detection conditions. Technology with low detection limit, high resolution, high sensitivity and fast detection speed

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  • Pulmonary tuberculosis risk assessment method and system based on exhaled gas mass spectrum detection
  • Pulmonary tuberculosis risk assessment method and system based on exhaled gas mass spectrum detection
  • Pulmonary tuberculosis risk assessment method and system based on exhaled gas mass spectrum detection

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Embodiment 1

[0067] In Embodiment 1 of the present invention, a tuberculosis risk assessment method based on exhaled mass spectrometry detection is provided, which is used to detect exhaled breath, and based on the detected mass spectrometry data, the detection and evaluation of pulmonary tuberculosis is realized through artificial intelligence technology.

[0068] like figure 1 As shown, the method for assessing the risk of pulmonary tuberculosis based on exhaled gas spectrum detection includes the following steps S100-S800.

[0069] Step S100, collecting exhaled breath samples of the target population; wherein, the target population includes a preset number of clinically confirmed tuberculosis patients and subjects who are not infected with tuberculosis.

[0070] In this step, a certain number of patients with clinically confirmed tuberculosis and subjects not infected with tuberculosis can be recruited, and exhaled breath samples collected by polymer material air bags with low exudation...

Embodiment 2

[0112] (1) Obtain a pulmonary tuberculosis detection model based on the above-mentioned steps S100-S700 (being a pulmonary tuberculosis binary classification model), and then according to steps S901-S902, the features selected in the pulmonary tuberculosis binary classification model are determined according to their weight and contribution in the model by Sort from high to low, get the sorting, and get the ranking list of the importance of various compounds (ie, volatile organic compounds) in the exhaled breath to the detection of pulmonary tuberculosis.

[0113] (2) Select the characteristics of the top 5, top 10 and top 20 compounds respectively based on the training data set corresponding to the tuberculosis detection model determined in the above steps, and train three random forest binary classification model models, respectively defined as: model-5, model-10, model-20.

[0114] (3) Perform tests on the subjects obtained in step S800 in Example 1, and also extract the ch...

Embodiment 3

[0118] (1) Obtain a pulmonary tuberculosis detection model based on the above-mentioned steps S100-S700 (being a pulmonary tuberculosis binary classification model), and then according to steps S901-S902, the features selected in the pulmonary tuberculosis binary classification model are determined according to their weight and contribution in the model by Sort from high to low, get the sorting, and get the ranking list of the importance of various compounds (ie, volatile organic compounds) in the exhaled breath to the detection of pulmonary tuberculosis.

[0119] (2) According to the published relevant literatures based on GC-MS (gas chromatography-mass spectrometry) detection of exhaled breath, select the characteristics of the number of molecules corresponding to the potential compounds that have been discovered, and use them and the characteristics of the top 10 compounds as the common features.

[0120] (3) Based on the training data set corresponding to the tuberculosis ...

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Abstract

The invention discloses a pulmonary tuberculosis risk assessment method and system based on exhaled gas mass spectrum detection. The method comprises the following steps: collecting an exhaled gas sample of a target population; detecting each exhaled gas sample through mass spectrometric detection equipment, and outputting an original spectrogram; performing calibration processing on the original spectrogram to obtain a standard spectrogram; dividing the standard spectrogram into a training set and a verification set according to a preset proportion; extracting the relative abundance of the volatile organic compound of each molecular weight under the determined molecular weight precision as a mass spectrum characteristic; constructing a spectrogram classification model; training for multiple times, and selecting the spectrogram classification model with the optimal AUC as a pulmonary tuberculosis detection model; and collecting expired gas of a to-be-detected person, and inputting the expired gas into the pulmonary tuberculosis detection model after mass spectrometric detection to obtain a pulmonary tuberculosis risk assessment result. The kit has good sensitivity and specificity in pulmonary tuberculosis diagnosis, and has the advantages of low detection limit, high resolution, high sensitivity, high detection speed and the like.

Description

【Technical field】 [0001] The present invention relates to the technical field of gas detection, in particular to a tuberculosis risk assessment method, system and storage medium based on exhaled mass spectrometry detection. 【Background technique】 [0002] At present, there are many diagnostic methods for tuberculosis clinically, including three types of methods. The first is antigen and antibody detection methods based on the principle of immune blood, including: tuberculin skin test (Tuberculin Skin Test, TST) test and γ-interferon release assay (interferon gamma release assay, IGRA). TST can produce more than 200 antigenic components, many of which are the same or similar to BCG and non-tuberculous mycobacteria (NTM), which makes TST prone to cross-reaction, resulting in a greater possibility of false positives, thus TST is generally used for large-scale screening; IGRA test is currently the most accurate method for latent tuberculosis infection detection. However, IGRA t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N27/62G06V10/764G06V10/774G06K9/62
Inventor 陈海斌康军伟王东鉴李庆运
Owner SHENZHEN BREATHA BIOTECHNOLOGY CO LTD
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