Severity Cut-Off Ranges for Auditory-Perceptual Evaluation Using Visual Analog Scales.

IF 2.4 4区 医学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY Journal of Voice Pub Date : 2025-01-31 DOI:10.1016/j.jvoice.2025.01.018
Patrick R Walden
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Abstract

Objectives: This retrospective, observational analytic, cross-sectional research study aimed to establish cut-off scores for categorizing the severity of voice qualities on a 100-unit visual analog scale (VAS). The study investigated the VAS cut-off ranges corresponding to auditory-perceptual ratings of normal, mild, moderate, and severe severities from the GRBAS scale for overall severity, breathiness, roughness, and strain.

Methods: The study utilized voice samples and ratings from the Perceptual Voice Qualities Database (PVQD). The database contains 296 audio samples, including sustained vowels and sentences, rated by 19 experienced voice clinicians. The raters used a 100-point VAS and the GRBAS scale to evaluate voice qualities. Receiver operator curves (ROC) were calculated to determine cut-off scores for each severity category, balancing a 90% sensitivity with a 10% allowable false-positive categorization.

Results: Cut-off ranges were established for overall severity, breathiness, and roughness, demonstrating similar values across severities. The ranges were: Overall severity: normal (0-15), mild (16-39), moderate (40-69), severe (70-100). Breathiness: normal (0-14), mild (15-34), moderate (35-68), severe (69-100). Roughness: normal (0-13), mild (14-37), moderate (38-65), severe (66-100). For strain, only the normal range (0-15) could be determined with statistical significance.

Conclusions: This study provided clinically relevant cut-off values for severity categories on a VAS, enhancing communication with patients and facilitating the use of both sensitive and specific categorical measures in voice evaluation. The findings contribute to a more standardized and objective assessment of voice quality.

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使用视觉类比量表进行听觉感知评估的严重程度临界范围。
目的:这项回顾性、观察性分析、横断面研究旨在建立在100个单位视觉模拟量表(VAS)上对语音质量严重程度进行分类的截止分数。该研究调查了GRBAS量表中正常、轻度、中度和重度听觉知觉评分对应的VAS截止范围,包括总体严重程度、呼吸、粗糙度和张力。方法:利用感知语音质量数据库(PVQD)的语音样本和评分。该数据库包含296个音频样本,包括持续元音和句子,由19名经验丰富的语音临床医生评分。评分员使用100分VAS和GRBAS量表来评估语音质量。计算受试者操作曲线(ROC)以确定每个严重程度类别的截止分数,平衡90%的敏感性和10%的允许假阳性分类。结果:建立了总体严重程度、呼吸和粗糙度的截止范围,显示了不同严重程度的相似值。总体严重程度:正常(0-15)、轻度(16-39)、中度(40-69)、重度(70-100)。呼吸:正常(0-14),轻度(15-34),中度(35-68),重度(69-100)。粗糙度:正常(0-13),轻度(14-37),中度(38-65),严重(66-100)。对于应变,只能确定正常范围(0-15),且具有统计学意义。结论:本研究为VAS的严重程度分类提供了临床相关的临界值,加强了与患者的沟通,便于在语音评价中使用敏感和特定的分类措施。研究结果有助于对语音质量进行更加标准化和客观的评估。
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来源期刊
Journal of Voice
Journal of Voice 医学-耳鼻喉科学
CiteScore
4.00
自引率
13.60%
发文量
395
审稿时长
59 days
期刊介绍: The Journal of Voice is widely regarded as the world''s premiere journal for voice medicine and research. This peer-reviewed publication is listed in Index Medicus and is indexed by the Institute for Scientific Information. The journal contains articles written by experts throughout the world on all topics in voice sciences, voice medicine and surgery, and speech-language pathologists'' management of voice-related problems. The journal includes clinical articles, clinical research, and laboratory research. Members of the Foundation receive the journal as a benefit of membership.
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