Non-invasive diagnosis of upper airway malignancies based on the analysis of markers in exhaled air
Автор: Kulbakin D.E., Choynzonov E.L., Fedorova I.K., Obkhodskaya E.V., Obkhodskiy A.V., Rodionov E.O., Sachkov V.I., Chernov V.I.
Журнал: Сибирский онкологический журнал @siboncoj
Рубрика: Клинические исследования
Статья в выпуске: 6 т.22, 2023 года.
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The purpose of the study was to evaluate diagnostic capabilities of the gas analysis sensor device used for the study of exhaled gas samples obtained from patients with oropharyngeal and laryngeal cancers. Material and Methods. Exhaled gas samples from 31 oropharyngeal and laryngeal cancer patients and 31 healthy volunteers were studied using a diagnostic device based on the detection of volatile compounds in inhaled air using semiconductor gas sensors with subsequent neural network analysis.
Oropharyngeal cancer, laryngeal cancer, markers, non-invasive diagnosis, exhaled air, sensor-based gas analyzer, neural network
Короткий адрес: https://sciup.org/140303561
IDR: 140303561 | DOI: 10.21294/1814-4861-2023-22-6-7-15
