Detecting head and neck squamous carcinoma using a portable handheld electronic nose
| Autor: | Bernd Kremer, Kenneth W. Kross, Rens M. G. E. van de Goor, Darius Henatsch, Michel R. A. van Hooren |
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| Přispěvatelé: | KNO, RS: GROW - R2 - Basic and Translational Cancer Biology, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, MUMC+: MA AIOS Keel Neus Oorheelkunde (9), MUMC+: MA Keel Neus Oorheelkunde (3), MUMC+: MA Keel Neus Oorheelkunde (9) |
| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
diagnosis Diagnostic accuracy head and neck squamous cell carcinoma 01 natural sciences 03 medical and health sciences 0302 clinical medicine volatile organic compounds otorhinolaryngologic diseases Medicine Humans Head and neck Electronic Nose Squamous cell cancer Electronic nose business.industry Squamous Cell Carcinoma of Head and Neck screening 010401 analytical chemistry Area under the curve Cancer Original Articles CELL CARCINOMA medicine.disease Head and neck squamous-cell carcinoma CANCER 0104 chemical sciences Squamous carcinoma stomatognathic diseases BREATH Otorhinolaryngology Breath Tests Exhalation Head and Neck Neoplasms 030220 oncology & carcinogenesis electronic nose technology Original Article Radiology business |
| Zdroj: | Head & Neck Head and Neck-Journal for the Sciences and Specialties of the Head and Neck, 42(9), 2555-2559. Wiley |
| ISSN: | 1097-0347 1043-3074 |
| Popis: | Introduction Detecting volatile organic compounds in exhaled breath enables the diagnosis of cancer. We investigated whether a handheld version of an electronic nose is able to discriminate between patients with head and neck squamous cell cancer (HNSCC) and healthy controls.Methods Ninety-one patients with HNSCC and 72 controls exhaled through an e-nose. An artificial neural network based model was built to separate between HNSCC patients and healthy controls. Additionally, three models were created for separating between the oral, oropharyngeal, and glottic subsites respectively, and healthy controls.Results The results showed a diagnostic accuracy of 72% at a sensitivity of 79%, specificity of 63%, and area under the curve (AUC) of 0.75. Results for the subsites showed an AUC of 0.85, 0.82, and 0.83 respectively for oral, oropharyngeal, and glottic HNSCC.Conclusion This feasibility study showed that this portable noninvasive diagnostic tool can differentiate between HNSCC patients and healthy controls. |
| Databáze: | OpenAIRE |
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