使用便携式手持电子鼻检测头颈部鳞状细胞癌。
Detecting head and neck squamous carcinoma using a portable handheld electronic nose.
机构信息
Department of Otorhinolaryngology, Head and Neck Surgery, Maastricht University Medical Center, Maastricht, The Netherlands.
Department of Otorhinolaryngology, Head and Neck Surgery, Bernhoven Medical Center, Uden, The Netherlands.
出版信息
Head Neck. 2020 Sep;42(9):2555-2559. doi: 10.1002/hed.26293. Epub 2020 Jun 3.
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.
简介
检测呼气中的挥发性有机化合物可用于癌症诊断。我们研究了手持式电子鼻是否能够区分头颈部鳞状细胞癌（HNSCC）患者和健康对照者。
方法
91 例 HNSCC 患者和 72 例对照者通过电子鼻呼气。建立基于人工神经网络的模型以区分 HNSCC 患者和健康对照者。此外，还分别为口腔、口咽和声带亚部位以及健康对照者创建了三个模型。
结果
结果显示，敏感性为 79%时，诊断准确性为 72%，特异性为 63%，曲线下面积（AUC）为 0.75。亚部位结果显示，口腔、口咽和声带 HNSCC 的 AUC 分别为 0.85、0.82 和 0.83。
结论
这项可行性研究表明，这种便携式无创诊断工具可区分 HNSCC 患者和健康对照者。
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