NBI Classification Optimization With Morphological Characteristics in Vocal Fold Leukoplakia

Author:

Fang Yi12ORCID,Li Changjiang12,Chen Min12,Chen Jian12,Cheng Lei12ORCID,Wu Haitao12ORCID

Affiliation:

1. ENT Institute and Department of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, China

2. Shanghai Key Clinical Disciplines of Otorhinolaryngology, Shanghai, China

Abstract

Objectives: To investigate the pathological contribution of vocal fold leukoplakia (VFL) of type II in narrow-band imaging (NBI) classification and morphological characteristics to improve pathological prediction. Material and Methods: The 59 VFL patients with type II in 2019 Ni classification in NBI were included. The pathological reports were collected and divided following 2005 WHO Blue Book. Low-risk VFL contained non-, mild, moderate dysplasia, high-risk VFL included severe dysplasia. The morphological classification and laryngoscopic scoring system were employed to evaluate leukoplakia for pathological prediction. Results: The pathologies contained 1 case of leukoplakia with non-dysplasia, 12 of mild dysplasia, 15 of moderate dysplasia, 8 of severe dysplasia, and 23 of carcinoma. The 30 smooth VFL contained 1 non-dysplasia, 12 mild dysplasia, 14 moderate dysplasia, 2 severe dysplasia, and 1 carcinoma. The 29 rough cases included 1 moderate dysplasia, 6 severe dysplasia, and 22 carcinomas. Laryngoscopic scoring system revealed irregular texture, large size, and thick lesion as factors in relationship with high-risk leukoplakia in univariate ( P = .002, <.001, <.001) and multivariate ( P = .025, .002, .016) analysis, irregular texture was the most accurate predictor of high-risk VFL pathology. Conclusions and Significance: The pathologies of VFL with type II in NBI classification were hard to be predicted. Morphological irregular/rough texture contributed to predict high-risk pathology in leukoplakia.

Funder

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Publisher

SAGE Publications

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3