Bilal Nagihan, Selcuk Turab, Sarica Selman, Alkan Ahmet, Orhan İsrafil, Doganer Adem, Sagiroglu Saime, Kılıc Mehmet Akif
Department of Otorhinolaryngology, Faculty of Medicine, Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkey.
Faculty of Engineering and Architecture Electric Electronic Engineering, Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkey.
J Voice. 2019 Mar;33(2):195-203. doi: 10.1016/j.jvoice.2017.11.010. Epub 2017 Dec 19.
The aim of this study was to determine nodules using newly developed software with a computer-assisted visual process technique for the calculation of size. The effects of the ratios of nodule base and width were evaluated with voice acoustic analysis.
A total of 72 patients with pediatric vocal nodule were evaluated. Nodules were marked with the ImageJ News program on photographs obtained from the video recordings in the videostroboscopic examination and classified according to the Shah et al scale. Segmentation was applied automatically. The ratios were taken as base of nodule/width and base of nodule/vocal cord. In the voice acoustic analysis, basic frequencies (mean F0), jitter (local %), shimmer (local %), and harmonicity (mean harmonics-to-noise [mean HNR]) were evaluated.
A statistically significant negative correlation was determined between the mean F0 value and the nodule base/width ratio (P = 0.042, r = -0.240). A negative statistically significant relationship was determined between jitter (%) and vocal nodule base/width (P = 0.009, r = -0.305). A statistically significant positive correlation was determined between mean HNR and vocal nodule base/width (P = 0.034, r = 0.324). In discriminant analysis, correct classification of the Shah et al scale degrees of the classifying variables was 73.6%.
Through collaboration with the biomedical engineering department, the results of this study determined new ratios in patients with pediatric vocal nodule. In voice acoustic analysis, the mean F0 was more affected by the width of the nodule, mean HNR was affected by the length of the base of the nodule, and jitter (%) was affected by the width of the nodule.
本研究旨在使用新开发的软件及计算机辅助视觉处理技术来确定结节并计算其大小。通过嗓音声学分析评估结节基底与宽度之比的影响。
共评估了72例小儿声带小结患者。在频闪喉镜检查的视频记录所获照片上，使用ImageJ News程序标记结节，并根据沙阿等人的标准进行分类。自动进行分割。将比值取为结节基底/宽度和结节基底/声带。在嗓音声学分析中，评估基频（平均F0）、抖动（局部%）、闪烁（局部%）和谐波性（平均谐波与噪声之比[平均HNR]）。
平均F0值与结节基底/宽度之比之间存在统计学显著负相关（P = 0.042，r = -0.240）。抖动（%）与声带小结基底/宽度之间存在统计学显著负相关（P = 0.009，r = -0.305）。平均HNR与声带小结基底/宽度之间存在统计学显著正相关（P = 0.034，r = 0.324）。在判别分析中，分类变量的沙阿等人标准程度的正确分类率为73.6%。
通过与生物医学工程部门合作，本研究结果确定了小儿声带小结患者的新比值。在嗓音声学分析中，平均F0受结节宽度影响更大，平均HNR受结节基底长度影响，抖动（%）受结节宽度影响。
