Ekaterina Bukreeva

Screening of patients with bronchopulmonary diseases using methods of infrared laser photoacoustic spectroscopy and principal component analysis

Abstract. A human exhaled air analysis by means of infrared (IR) laser photoacoustic spectroscopy is presented. Eleven healthy nonsmoking volunteers (control group) and seven patients with chronic obstructive pulmonary disease (COPD, target group) were involved in the study. The principal component analysis method was used to select the most informative ranges of the absorption spectra of patients’ exhaled air in terms of the separation of the studied groups. It is shown that the data of the profiles of exhaled air absorption spectrum in the informative ranges allow identifying COPD patients in comparison to the control group.

Analysis of the absorption spectra of gas emission of patients with lung cancer and chronic obstructive pulmonary disease by laser optoacoustic spectroscopy

It is important to identify patients with chronic obstructive pulmonary disease (COPD) and lung cancer in the early stages of the disease. The method of laser opto-acoustic gas analysis, in this case, can act as a promising tool for diagnostics. The material for this study were the gas emission samples collected from patients and healthy volunteers – samples of exhaled air, swabs from teeth and cheeks. A set of material was formed three groups: healthy volunteers, patients with COPD, lung cancer patients. The resulting samples were analyzed by means of laser opto-acoustic gas analyzers: with intracavity location detector (ILPA-1), with extracavity location detector (LGA-2). Presentation of the results in an easy to visual form was performed using the method of elastic maps, based on the principal component analysis. The results of analysis show potentialities of usage of laser optoacoustic spectroscopy application to assess the status of patients with chronic obstructive pulmonary disease and lung cancer.

Photoacoustic spectroscopy evaluation of the impact of smoking on the composition of exhaled air in patients with bronchopulmonary diseases

AIM To investigate the impact of smoking on the air exhaled by patients with chronic obstructive pulmonary disease (COPD) and asthmatics, by applying photoacoustic spectroscopy. SUBJECTS AND METHODS The exhaled air absorption spectra (EAAS) were analyzed in healthy volunteers and patients with COPD and asthmatics, by applying an ILPA-1 CO2 laser photoacoustic gas analyzer. The procedure based on the calculation of an integrated estimate (IE) of the state of the object was used to assess the findings. RESULTS Comparison of the IE of EAAS in COPD patients and non-smoking healthy individuals showed that spectra of the compounds, the formation of which was associated with smoking, were recorded in the range of wavelengths corresponding to the 10R branch of CO2 laser generation. This also provided evidence indicating that the exhaled air of asthmatics differed from that of both smoking and non-smoking healthy individuals. The calculations yielded the threshold values of EAAS IE in the range of wavelengths corresponding to the 10P branche of CO2 laser generation, which made it possible to distinguish non-smoking healthy individuals from asthmatics and COPD patients in 94 and 89% of cases, respectively. CONCLUSION The investigation has confirmed that smoking substantially impacts the composition of the air exhaled by healthy individuals. It has been shown that the use of reference groups formed from non-smoking healthy individuals can improve the accuracy of photoacoustic spectroscopy in detecting COPD and asthma. A further development in this direction will open up new prospects for a new method to diagnose COPD and asthma.

Application of support vector machine method for the analysis of absorption spectra of exhaled air of patients with broncho-pulmonary diseases

The results of the joint use of laser photoacoustic spectroscopy and chemometrics methods in gas analysis of exhaled air of patients with respiratory diseases (chronic obstructive pulmonary disease, pneumonia and lung cancer) are presented. The absorption spectra of exhaled breath of all volunteers were measured, the classification methods of the scans of the absorption spectra were applied, the sensitivity/specificity of the classification results were determined. It were obtained a result of nosological in pairs classification for all investigated volunteers, indices of sensitivity and specificity.

Using of laser spectroscopy and chemometrics methods for identification of patients with lung cancer, patients with COPD and healthy people from absorption spectra of exhaled air

The results of application of the joint use of laser photoacoustic spectroscopy and chemometrics methods in gas analysis of exhaled air of patients with chronic respiratory diseases (chronic obstructive pulmonary disease and lung cancer) are presented. The absorption spectra of exhaled breath of representatives of the target groups and healthy volunteers were measured; the selection by chemometrics methods of the most informative absorption coefficients in scan spectra in terms of the separation investigated nosology was implemented.