Predictive value of endoscopic examination for pathological diagnosis of vocal cord leukoplakia
10.3969/j.issn.1673-9701.2024.29.012
- VernacularTitle:内镜检查对声带白斑病理诊断的预测价值研究
- Author:
Yeyu WANG
1
;
Wei CHANG
;
Jun LI
Author Information
1. 长治医学院附属和平医院病理科,山西长治 046000
- Keywords:
Vocal cord leukoplakia;
Narrow band imaging;
White lighting imaging;
Diagnosis
- From:
China Modern Doctor
2024;62(29):50-53,61
- CountryChina
- Language:Chinese
-
Abstract:
Objective To select the most accurate classification in white light imaging(WLI)and narrow band imaging(NBI)for diagnosing the pathological result of vocal cord leukoplakia(VCL)and the proposed cut-off point,which can improve the accuracy of non-invasive prediction of the pathological result of VCL and can provide basis for whether the VCL patients need surgery and the timing of surgical intervention.Methods Ninty six VCL patients were included in the study.Before surgery,images were collected in WLI and NBI respectively.According to Chen classification in WLI and Ni classification in NBI,lesions were evaluated.By comparing Youden's index,the proposed cut-off point for classification more than two degrees can be assessed.By comparing the area under curve(AUC),accuracy,sensitivity,specificity,positive predictive value(PPV)and negative predictive value(NPV)of four clinical classifications per the purposed cut-off point,the diagnostic performance of different clinical classifications on the pathological results of VCL was assessed,the most accurate classification and the purposed cut-off point were obtained.Results There was a correlation between Chen classification WLI light mode and Ni classification in NBI mode with pathological grade(rs=0.513,0.653,P<0.001).In WLI,the purposed cut-off point of Chen classification is 3(flat and smooth type is bengin,elecated and smooth type and rough type are maligant);in NBI,the purposed cut-off point of Ni classification is 5(Ⅰ-Ⅳ type were bengin,Ⅴ and Ⅵ type were maligant).The AUC of two clinical classifications'model were 0.815,0.875.The accuracy,sensitivity,specificity,PPV and NPV of the Chen classifications(purposed cut-off point)were 79.51%,84.62%,75.71%,72.13%,86.89%,Those of Ni classification were 85.25%,76.92%,91.42%,86.96%,84.21%.Conclusions:Ni classification in NBI and Chen classification in WLI both perform well.The diagnostic performance of Ni classification in NBI is better than Chen classification in WLI.