期刊
ACTA OTO-LARYNGOLOGICA
卷 142, 期 6, 页码 524-531出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/00016489.2022.2093397
关键词
Chronic rhinosinusitis; differential mobility spectrometry; electronic nose; nasal air
资金
- Doctoral School of Tampere University
- Finnish Medical Foundation
- Finnish ORL-HNS Foundation
- Tampere Tuberculosis Foundation (Korvatautien Tutkimussaatio)
- Tampere Tuberculosis Foundation (Suomen Laaketieteen Saatio)
- Tampere Tuberculosis Foundation (Tampereen Tuberkuloosisaatio)
- Competitive State Research Financing of the Expert Responsibility area of Tampere University Hospital
An electronic nose (eNose) based on differential mobility spectrometry (DMS) has the potential to differentiate chronic rhinosinusitis without nasal polyps (CRSsNP) from patients with similar nasal symptoms by analyzing the aspirated nasal air.
Background The diagnosis of chronic rhinosinusitis (CRS) is a complicated procedure. An electronic nose (eNose) is a novel method that detects disease from gas-phase mixtures, such as human breath. Aims/Objectives To determine whether an eNose based on differential mobility spectrometry (DMS) can detect chronic rhinosinusitis without nasal polyps (CRSsNP) by analyzing aspirated nasal air. Materials and methods Adult patients with CRSsNP were examined. The control group consisted of patients with septal deviation. Nasal air was aspirated into a collection bag and analyzed with DMS. The DMS data were classified using regularized linear discriminant analysis (LDA) models with 10-fold cross-validation. Results The accuracy of the DMS to distinguish CRSsNP from patients with septal deviation was 69%. Sensitivity and specificity were 67 and 70%, respectively. Bonferroni-corrected statistical differences were clearly noted. When a subgroup with more severe inflammatory disease was compared to controls, the classification accuracy increased to 82%. Conclusions The results of this feasibility study demonstrate that CRSsNP can potentially be differentiated distinguished from patients with similar nasal symptoms by analyzing the aspirated nasal air using DMS. Further research is warranted to evaluate the ability of this novel method in the differential diagnostics of CRS.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据