Detection of differentiated thyroid carcinoma in exhaled breath with an electronic nose. (1st July 2022)

• Record Type: Journal Article
• Authors: Scheepers, Max H M C; Al-Difaie, Zaid J J; Wintjens, Anne G W E; Engelen, Sanne M E; Havekes, Bas; Lubbers, Tim; Coolsen, Marielle M E; van der Palen, Job; van Ginhoven, Tessa M; Vriens, Menno; Bouvy, Nicole D
• Is Part Of: Journal of breath research. Volume 16:Number 3(2022)
• Publication Date: 2022-07-01
• Subjects: thyroid carcinoma -- electronic nose -- exhaled air -- volatile organic compounds -- innovative diagnostics; Volatile organic compounds -- Analysis -- Periodicals; Clinical chemistry -- Periodicals; Bad breath -- Periodicals; Bad breath -- Treatment -- Periodicals; Bad breath -- Diagnosis -- Periodicals; 616.0756
• DOI: 10.1088/1752-7163/ac77a9
• Languages: English
• ISSNs: 1752-7155

Abstract

Abstract: This proof-of-principle study investigates the diagnostic performance of the Aeonose in differentiating malignant from benign thyroid diseases based on volatile organic compound analysis in exhaled breath. All patients with a suspicious thyroid nodule planned for surgery, exhaled in the Aeonose. Definitive diagnosis was provided by histopathological determination after surgical resection. Breath samples were analyzed utilizing artificial neural networking. About 133 participants were included, 48 of whom were diagnosed with well-differentiated thyroid cancer. A sensitivity of 0.73 and a negative predictive value (NPV) of 0.82 were found. The sensitivity and NPV improved to 0.94 and 0.95 respectively after adding clinical variables via multivariate logistic regression analysis. This study demonstrates the feasibility of the Aeonose to discriminate between malignant and benign thyroid disease. With a high NPV, low cost, and non-invasive nature, the Aeonose may be a promising diagnostic tool in the detection of thyroid cancer.