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Head and neck mucosal squamous cell carcinoma (HNSCC) is one of the most common head and neck malignancies, accounting for 6% of all cancers, the main pathogenic factors include smoking and alcohol consumption.
currently effective therapies are mainly aimed at early HNSCC patients, but the high incidence of late HNSCC is higher and corresponds to poor prognostication.
, improving the diagnosis rate of early HNSCC patients is conducive to improving the treatment effectiveness and morbidity of patients.
the study was designed to determine the diagnostic accuracy of the non-invasive breath test used to detect HNSCC.
collected standardized breathing samples from 181 pre-treatment patients suspected of HNSCC.
the volatile organic compounds in the sample using a selected ion flow tube mass spectrometer.
is diagnosed through histological pathology.
based on mass spectrometrometrometical analysis, two logic regression models were used to distinguish the respiratory status of cancer patients and 2 (benign disease) patients.
results showed that 66 percent of the participants had early primary tumors (T1 and T2), while 58 percent had local lymph node metastasis.
analysis test queue using the optimal logic regression model of the three variables shows that the sensitivity and specificity of the detection method are 80% and 86%, respectively, and the AUC value of the ROC curve is 0.821 (95% CI 0.625-1.0), which indicates that the detection method is more realistic.
results show that non-invasive respiratory test diagnosis of HNSCC may be a potentially practical and accurate diagnostic method.
may be possible in primary care testing in the future to determine the applicability of this analytical method to early identification of HNSCC.
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