Differentiating head and neck carcinoma from lung carcinoma with an electronic nose: a proof of concept study.

Disease specific patterns of volatile organic compounds can be detected in exhaled breath using an electronic nose (e-nose). The aim of this study is to explore whether an e-nose can differentiate between head and neck, and lung carcinoma. Eighty-seven patients received an e-nose measurement before any oncologic treatment. We used PARAFAC/TUCKER3 tensor decomposition for data reduction and an artificial neural network for analysis to obtain binary results; either diagnosed as head and neck or lung carcinoma. Via a leave-one-out method, cross-validation of the data was performed. In differentiating head and neck from lung carcinoma patients, a diagnostic accuracy of 93 % was found. After cross-validation of the data, this resulted in a diagnostic accuracy of 85 %. There seems to be a potential for e-nose as a diagnostic tool in HNC and lung carcinoma. With a fair diagnostic accuracy, an e-nose can differentiate between the two tumor entities.

Detecting head and neck squamous carcinoma using a portable handheld electronic nose.

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.

Detecting recurrent head and neck cancer using electronic nose technology: A feasibility study.

BACKGROUND: The aim of this feasibility study was to assess the diagnostic performance of an electronic nose (e-nose) as a noninvasive diagnostic tool in detecting locoregional recurrent and/or second (or third) primary head and neck squamous cell carcinoma (HNSCC) after curative treatment. METHODS: Using an e-nose (Aeonose, The eNose Company, Zutphen, The Netherlands), breath samples were collected from patients after curative treatment of an HNSCC with a locoregional recurrence or second (or third) primary tumor (N = 20) and from patients without evidence of recurrent disease (N = 20). Analyses were performed utilizing artificial neural networking based on patterns of volatile organic compounds. RESULTS: A diagnostic accuracy of 83% was observed in differentiating follow-up patients with locoregional recurrent or second (or third) primary HNSCC from those without evidence of disease. CONCLUSION: This study has demonstrated the feasibility of using an e-nose to detect locoregional recurrent and/or second (or third) primary HNSCC.

Voice- and swallow-related quality of life in idiopathic Parkinson's disease.

OBJECTIVES/HYPOTHESIS: This study explores whether changes in voice- and swallow-related QoL are associated with progression of idiopathic Parkinson's disease (IPD). Furthermore, it examines the relationship between patients' perception of both voice and swallowing disorders in IPD. STUDY DESIGN: Prospective clinical study, quality of life (QoL). METHODS: One-hundred mentally competent IPD patients with voice and swallowing complaints were asked to answer four QoL questionnaires (Voice Handicap Index, MD Anderson Dysphagia Inventory, Visual Analog Scale [VAS] voice, and Dysphagia Severity Scale [DSS]). Differences in means for the QoL questionnaires and their subscales within Hoehn and Yahr stage groups were calculated using one-way analysis of variance. The relationship between voice- and swallow-related QoL questionnaires was determined with the Spearman correlation coefficient. RESULTS: Scores on both voice and swallow questionnaires suggest an overall decrease in QoL with progression of IPD. A plateau in QoL for VAS voice and the DSS was seen in the early Hoehn and Yahr stages. Finally, scores on voice-related QoL questionnaires were significantly correlated with swallow-related QoL outcomes. CONCLUSIONS: Voice- and swallow-related QoL decreases with progression of IPD. A significant association was found between voice- and swallow-related QoL questionnaires. Healthcare professionals can benefit from voice- and swallow-related QoL questionnaires in a multidimensional voice- or swallow-assessment protocol. The patient's perception of his/her voice and swallowing disorders and its impact on QoL in IPD should not be disregarded. LEVEL OF EVIDENCE: 2b.