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

• Egile Nagusiak: Sophia Mentel (Egilea), Kathleen Gallo (Egilea), Oliver Wagendorf (Egilea), Robert Preissner (Egilea), Susanne Nahles (Egilea), Max Heiland (Egilea), Saskia Preissner (Egilea)
• Formatua: Liburua
• Argitaratua: BMC, 2021-10-01T00:00:00Z.
• Gaiak: article
• Sarrera elektronikoa: Connect to this object online.

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...