Optimal Pathological Prediction of Vocal Fold Leukoplakia Based on IPCLs and Morphology.

objectivesTo establish a combined classification based on intrapapillary capillary loops (IPCLs) and morphological characteristics to improve the accuracy of pathological prediction of vocal fold leukoplakia (VFL). MATERIALS AND

methodsA prospective research was conducted of VFL patients diagnosed by IPCLs and morphology. The VFL cases were classified as Type I-III based on IPCLs and morphological characteristics. Type I referred to VFL with dendritic vessels but not IPCLs. Type II defined VFL without any IPCLs or vessels and classified by morphology into two subtypes as nonrough Type IIa and rough Type IIb. Type III referred to VFL with IPCLs and classified into two subtypes as Type IIIa with small IPCLs and Type IIIb with large IPCLs or vascular distortion in or around lesions. Predicting pathology accuracy was analyzed.

resultsOne hundred and eighty-two eligible patients were recruited. The prediction accuracy rates of VFL pathology were 81.5% according to the 2019 Ni classification. The combined classification included four cases of Type I, 28 Type IIa, 35 Type IIb, 56 Type IIIa, and 59 Type IIIb VFLs. The prediction accuracy rate of combined classification ranged from 95.1% to 97.3% in three observers. The average sensitivity, specificity, positive predictive value, and negative predictive value were 97.8%, 86.2%, 97.4%, and 88.2%, respectively. The interobserver agreement varied from 84.1% to 94.0%; the mean area under curve of receiver operating curve analysis was 0.954. CONCLUSIONS AND SIGNIFICANCE: The new combined classification based on IPCLs and morphological characteristics could predict the pathology of VFL accurately. LEVEL OF EVIDENCE: 4: