Prediction of oral squamous cell carcinoma based on machine learning of breath samples: a prospective controlled study

Prediction of oral squamous cell carcinoma based on machine learning of breath samples: a prospective controlled study

Abstract Background The aim of this study was to evaluate the possibility of breath testing as a method of cancer detection in patients with oral squamous cell carcinoma (OSCC). Methods Breath analysis was performed in 35 OSCC patients prior to surgery. In 22 patients, a subsequent breath test was c...

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Bibliographic Details
Main Authors: Sophia Mentel, Kathleen Gallo, Oliver Wagendorf, Robert Preissner, Susanne Nahles, Max Heiland, Saskia Preissner
Format: Article
Language:English
Published: BMC 2021-10-01
Series:BMC Oral Health
Subjects:
Breath analysis
Head and neck cancer
Oral squamous cell carcinoma
Oral cancer
Machine learning
Gas chromatography–ion mass spectrometry
Online Access:https://doi.org/10.1186/s12903-021-01862-z

Internet

https://doi.org/10.1186/s12903-021-01862-z

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