Voice Acoustic Analysis of Pediatric Vocal Nodule Patients Using Ratios Calculated With Biomedical Image Segmentation

J Voice. 2019 Mar;33(2):195-203. doi: 10.1016/j.jvoice.2017.11.010. Epub 2017 Dec 19.

Abstract

Objective: 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.

Methods: 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.

Results: 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%.

Conclusion: 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.

Keywords: Base of the nodule; Child; Laryngeal image analyses; Vocal fold nodule; Voice quality.

MeSH terms

  • Acoustics*
  • Adolescent
  • Age Factors
  • Child
  • Child, Preschool
  • Female
  • Humans
  • Image Interpretation, Computer-Assisted / methods*
  • Laryngeal Diseases / diagnostic imaging*
  • Laryngeal Diseases / physiopathology
  • Male
  • Predictive Value of Tests
  • Speech Acoustics*
  • Speech Production Measurement / methods*
  • Stroboscopy / methods*
  • Video Recording
  • Vocal Cords / diagnostic imaging*
  • Vocal Cords / physiopathology
  • Voice Disorders / diagnostic imaging*
  • Voice Disorders / physiopathology
  • Voice Quality*