1. Development of a non-invasive exhaled breath test for the diagnosis of head and neck cancer
- Author
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Thomas Goddard, Eng H. Ooi, David I. Watson, Charmaine M. Woods, Roger Yazbeck, and Nuwan Dharmawardana
- Subjects
Adult ,Male ,Cancer Research ,medicine.medical_specialty ,Binomial regression ,Logistic regression ,Sensitivity and Specificity ,Mass Spectrometry ,Article ,03 medical and health sciences ,Sex Factors ,0302 clinical medicine ,medicine ,Humans ,Head and neck cancer ,Early Detection of Cancer ,Aged ,Neoplasm Staging ,Aged, 80 and over ,Breath test ,Volatile Organic Compounds ,medicine.diagnostic_test ,Squamous Cell Carcinoma of Head and Neck ,business.industry ,Cancer ,Diagnostic markers ,Middle Aged ,Translational research ,medicine.disease ,Head and neck squamous-cell carcinoma ,Logistic Models ,Breath Tests ,ROC Curve ,Oncology ,Breath gas analysis ,Exhalation ,Head and Neck Neoplasms ,Area Under Curve ,Lymphatic Metastasis ,030220 oncology & carcinogenesis ,Cohort ,Female ,Radiology ,business - Abstract
Background Improving the ability to identify early-stage head and neck squamous cell carcinoma (HNSCC) can improve treatment outcomes and patient morbidity. We sought to determine the diagnostic accuracy of breath analysis as a non-invasive test for detecting HNSCC. Methods Standardised breath samples were collected from 181 patients suspected of HNSCC prior to any treatment. A selected ion flow-tube mass spectrometer was used to analyse breath for volatile organic compounds. Diagnosis was confirmed by histopathology. A binomial logistic regression model was used to differentiate breath profiles between cancer and control (benign disease) patients based on mass spectrometry derived variables. Results In all, 66% of participants had early-stage primary tumours (T1 and T2) and 58% had regional node metastasis. The optimised logistic regression model using three variables had a sensitivity and specificity of 80% and 86%, respectively, with an AUC for ROC curve of 0.821 (95%CI 0.625–1.0) in the testing cohort. Conclusions Breath analysis for non-invasive diagnosis of HNSCC appears to be practical and accurate. Future studies should be conducted in a primary care setting to determine the applicability of breath analysis for early identification of HNSCC.
- Published
- 2020
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