Journal of Otolaryngology and Ophthalmology of Shandong University ›› 2025, Vol. 39 ›› Issue (6): 87-96.doi: 10.6040/j.issn.1673-3770.0.2024.003

• Original Article • Previous Articles    

Application of narrow band imaging endoscopy combined with voice acoustic analysis in the differential diagnosis of vocal cord leukoplakia

LIU Ziqi, HUANG Jiali, WANG Liqin, CHEN Xi, ZHANG Liqing, ZHOU Han   

  1. Department of Otorhinolaryngology, The First Affiliated Hospital, Nanjing Medical University, Nanjing 210029, Jiangsu, China
  • Published:2025-11-19

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Abstract: Objective To explore the application value of narrow band imaging(NBI)endoscopy combined with computerised voice acoustic analysis in the differential diagnosis of benign and malignant vocal cord leukoplakia. Methods Related clinical data of 49 patients with vocal cord leukoplakia were collected, including age, smoking, alcohol consumption, values of reflux symptom index(RSI)and reflux findings score(RFS), side, range, and anterior commissure involvement of the vocal cord. 49 patients were divided into benign and malignant groups separately according to the endoscopic and histopathological diagnosis of NBI,and then their vocal acoustic indexes were statistically analysed. Logistic regression and receiver operating characteristic curve(ROC)analysis were used to further assess the value of narrow band imaging endoscopy combined with voice acoustic analysis in the differential diagnosis between benign and malignant vocal cord leukoplakia. Results One-way ANOVA showed that jitter, shimmer and MPT in voice acoustic analysis were both statistically significant(P<0.05)in the comparison between benign and malignant groups under NBI endoscopy and histopathological diagnosis separately, and DSI was statistically significant(P<0.05)under histopathological diagnosis. Binary logistic regression analysis revealed that jitter and shimmer were independent risk factors affecting benign and malignant vocal cord leukoplakia whereby the receiver operating characteristic curve was constructed. The area under ROC curve(AUC)of NBI, jitter and shimmer was 0.836, 0.739 and 0.743, respectively, all of which had moderate diagnostic value for malignant vocal cord leukoplakia(0.70.9;95%=0.72-0.96). Conclusion Computerised voice acoustic analysis jitter and shimmer are sensitive indicators to predict the nature of vocal cord leukoplakia. Combining voice acoustic analysis with NBI endoscopy can improve the diagnostic efficiency of benign and malignant vocal cord leukoplakia and reduce the missed diagnosis of malignant vocal cord leukoplakia.

Key words: Vocal cord leukoplakia, Narrow band imaging endoscopy, Voice acoustic analysis, Differential diagnosis

CLC Number: 

  • R767.4
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