Fang Tuan-Jen, Lin Wan-Ni, Lee Li-Yu, Young Chi-Kuang, Lee Li-Ang, Chang Kai-Ping, Liao Chun-Ta, Li Hseuh-Yu, Yen Tzu-Chen
Department of Otolaryngology, Head and Neck Surgery, Chang Gung Memorial Hospital, Linkou, Taiwan.
School of Medicine, Chang Gung University, Taoyuan, Taiwan.
Head Neck. 2016 Apr;38 Suppl 1:E1998-2003. doi: 10.1002/hed.24368. Epub 2016 Feb 5.
Vocal cord leukoplakia comprises a variety of lesions. The purpose of this study was to stratify vocal leukoplakias before surgery.
Patients with an initial diagnosis of vocal leukoplakia who underwent surgical excision at a tertiary referral center in Taiwan were recruited for this study. Their clinical records, including age, sex, preoperative laryngoscopic images in the office setting, and final pathology reports were collected and analyzed.
Patient age (p = .010), nonhomogenous lesion texture (p = .001), and existence of hyperemia (p = .014) were identified as independent factors predicting malignancy. A predictive formula was established accordingly. The model showed an excellent discrimination role by receiver operating characteristic curve analysis (area under the curve = 0.86; p < .001).
This study confirmed the value of a scoring system based on laryngoscopic characteristics and patient age for predicting the histologic results in vocal leukoplakia. It is helpful for classifying vocal leukoplakia and pretreatment planning. © 2016 Wiley Periodicals, Inc. Head Neck 38: E1998-E2003, 2016.
声带白斑包含多种病变。本研究的目的是在手术前对声带白斑进行分层。
本研究招募了在台湾一家三级转诊中心接受手术切除的初诊为声带白斑的患者。收集并分析他们的临床记录,包括年龄、性别、门诊环境下的术前喉镜图像以及最终病理报告。
患者年龄(p = 0.010)、病变质地不均匀(p = 0.001)以及存在充血(p = 0.014)被确定为预测恶性肿瘤的独立因素。据此建立了一个预测公式。通过受试者工作特征曲线分析,该模型显示出出色的区分作用(曲线下面积 = 0.86;p < 0.001)。
本研究证实了基于喉镜特征和患者年龄的评分系统在预测声带白斑组织学结果方面的价值。它有助于对声带白斑进行分类和术前规划。© 2016威利期刊公司。头颈外科38: E1998 - E2003, 2016。