Objectives/Hypothesis: To develop a deep-learning-based computer-aided diagnosis system for distinguishing laryngeal neoplasms (benign, precancerous lesions, and cancer) and improve the clinician-based accuracy of diagnostic assessments of laryngoscopy findings. Study Design: Retrospective study. Methods: A total of 24,667 laryngoscopy images (normal, vocal nodule, polyps, leukoplakia and malignancy) were collected to develop and test a convolutional neural network (CNN)-based classifier. A comparison between the proposed CNNbased classifier and the clinical visual assessments (CVAs) by 12 otolaryngologists was conducted. Results: In the independent testing dataset, an overall accuracy of 96.24% was achieved; for leukoplakia, benign, malignancy, normal, and vocal nodule, the sensitivity and specificity were 92.8% vs. 98.9%, 97% vs. 99.7%, 89% vs. 99.3%, 99.0% vs. 99.4%, and 97.2% vs. 99.1%, respectively. Furthermore, when compared with CVAs on the randomly selected test dataset, the CNN-based classifier outperformed physicians for most laryngeal conditions, with striking improvements in the ability to distinguish nodules (98% vs. 45%, P < .001), polyps (91% vs. 86%, P < .001), leukoplakia (91% vs. 65%, P < .001), and malignancy (90% vs. 54%, P < .001). Conclusions: The CNN-based classifier can provide a valuable reference for the diagnosis of laryngeal neoplasms during laryngoscopy, especially for distinguishing benign, precancerous, and cancer lesions.

Pepsin in saliva has moderate value in the diagnosis of LPR. The cutoff value used could affect the diagnostic value. Therefore, further investigations are required to find the optimal method to detect salivary pepsin in diagnosing LPR.

Objectives We aimed to confirm the presence of pepsinA in the nasal secretions and tissues of chronic rhinosinusitis (CRS) patients and reveal the relationship between CRS and laryngopharyngeal reflux (LPR). Study Design Cross-sectional study. Setting The study was conducted at the Department of Oto-Rhino-Laryngology, West China Hospital, Sichuan University. Subjects and Methods A total of 32 CRS patients with or without nasal polyps (CRSwNP and CRSsNP, respectively) and 10 normal controls were enrolled in our study. We investigated the expression of pepsinA in the nasal tissues, secretions, and blood plasma from the subjects by immunohistochemical staining, Western blot, or ELISA. Additionally, the expressions of MUC4, MUC5AC, MUC5B, MUC8, and pepsinogenA in nasal tissue were evaluated by quantitative real-time polymerase chain reaction. Results Immunohistochemistry and Western blot revealed that the pepsinA expression levels in the turbinate mucosa in CRSwNP/CRSsNP patients, which were largely restricted to the epithelial layer or glandular mucous cells in nasal tissues, were significantly higher than those in controls and in the polyp tissues of CRSwNP patients ( P < .05). In addition, the concentration of pepsinA in nasal secretions was significantly increased in the CRSwNP (147.85 ± 53.69 ng/mL, P < .001) and CRSsNP (134.12 ± 36.23 ng/mL, P < .001) groups as compared with the controls (68.69 ± 19.28 ng/mL). Although MUC5AC, MUC5B, and MUC8 expression differed among the groups, no correlation between pepsinA and mucin genes was found. Conclusion The results of this study provided evidence of an association between LPR and CRS, although no correlation was found to exist between LPR and mucin genes in CRS patients.

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