Department of Otorhinolaryngology, Academy of Medicine, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Clin Linguist Phon. 2023 Jul 3;37(7):583-598. doi: 10.1080/02699206.2022.2059398. Epub 2022 Jun 3.
This study aimed to develop a multidimensional model for the evaluation of substitution voicing (SV) after laryngeal oncosurgery. The study group consisted of 121 adult male individuals: 59 patients with SV after laryngeal oncosurgery (endolaryngeal cordectomy, partial laryngectomy, total laryngectomy with tracheoesophageal prosthesis) and 62 healthy controls. A multidimensional protocol for the assessment of SV included, 1) self-reported speech evaluation with a short version of the Speech Handicap Index, 2) auditory-perceptual assessment, and 3) acoustic speech analysis using AMPEX® (Auditory Model Based Pitch Extractor) software. Moderate correlations were observed between parameters from self-reported auditory-perceptual and acoustic speech analysis domains. The multidimensional Substitution Voicing Index (SVI), including markers from these domains, was elaborated by using linear stepwise regression to determine the optimal set of parameters for categorising SV patients. The lowest mean SVI score was revealed in the control subgroup corresponding to the normal speech, followed by cordectomy subgroup and partial laryngectomy subgroup. The highest mean SVI score was revealed in the total laryngectomy subgroup, reflecting the most severely deteriorated quality of SV. One-way analysis of variance identified statistically significant differences between the mean SVI scores in separate subgroups. The results demonstrated the potential benefits of the SVI for a multidimensional evaluation of SV in patients after laryngeal oncosurgery.
本研究旨在建立一种多维的嗓音置换(SV)评估模型,用于评估喉肿瘤切除术后的嗓音变化。研究组包括 121 名成年男性个体:59 名接受过喉肿瘤切除术后(内镜声带切除术、部分喉切除术、全喉切除术伴气管食管假体)SV 的患者和 62 名健康对照组。SV 的多维评估方案包括:1)使用语音障碍指数短版进行自我报告的语音评估,2)听觉感知评估,以及 3)使用 AMPEX®(基于听觉模型的音调提取软件)进行声学语音分析。自我报告的听觉感知和声学语音分析领域的参数之间观察到中度相关性。通过线性逐步回归确定用于分类 SV 患者的最佳参数集,制定了多维替代嗓音指数(SVI),包括这些领域的标志物。在对应正常语音的对照组亚组中,平均 SVI 评分最低,其次是声带切除术亚组和部分喉切除术亚组。在全喉切除术亚组中,平均 SVI 评分最高,反映了 SV 质量的严重恶化。单因素方差分析发现,不同亚组之间的平均 SVI 评分存在统计学差异。研究结果表明,SVI 可用于喉肿瘤切除术后患者的 SV 多维评估。