Diagnostic Potential of a Multisensor Gas Analysis System and Artificial Intelligence for Upper Respiratory Tract Cancer. A Single-Center Study Results
- Authors: Kulbakin DE, Chernov V.I., Smolina E.A., Choynzonov E.L., Fedorova I.K., Obkhodskiy A.V., Obkhodskaya E.V., Tskhay V.O., Rodionov E.O., Miller S.V., Lakonkin V.S., Sachkov V.I.
- Issue: Vol 71, No 6 (2025)
- Pages: 1332-1339
- Section: ORIGINAL ARTICLES Clinical research
- URL: https://journals.rcsi.science/0507-3758/article/view/380414
- ID: 380414
Cite item
Abstract
Exhaled breath analysis represents a promising non-invasive approach for diagnosing laryngeal, oral cavity, and pharyngeal cancers. This method is based on the premisethat ca ncer cel l metabolism differs from healthy cells, resultingin the production of specific volatile organic compounds.
About the authors
D E Kulbakin
Email: kulbakin_d@mail.ru
V. I. Chernov
Email: kulbakin_d@mail.ru
E. A. Smolina
Email: kulbakin_d@mail.ru
E. L. Choynzonov
Email: kulbakin_d@mail.ru
I. K. Fedorova
Email: kulbakin_d@mail.ru
A. V. Obkhodskiy
Email: kulbakin_d@mail.ru
E. V. Obkhodskaya
Email: kulbakin_d@mail.ru
V. O. Tskhay
Email: kulbakin_d@mail.ru
E. O. Rodionov
Email: kulbakin_d@mail.ru
S. V. Miller
Email: kulbakin_d@mail.ru
V. S. Lakonkin
Email: kulbakin_d@mail.ru
V. I. Sachkov
Author for correspondence.
Email: kulbakin_d@mail.ru
References
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