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Related Experiment Videos

MultiDimensional Voice Program analysis in children with vocal cord nodules.

P Campisi1, T L Tewfik, E Pelland-Blais

  • 1Department of Otolaryngology, The Montreal Children's Hospital, McGill University Health Centre, Quebec.

The Journal of Otolaryngology
|December 7, 2000
PubMed
Summary
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Computer-assisted voice analysis using MultiDimensional Voice Program (MDVP) can identify vocal cord nodules in children. Key voice parameters like jitter and perturbation are significantly elevated in children with nodules.

Area of Science:

  • Otolaryngology
  • Speech-Language Pathology
  • Pediatric Medicine

Background:

  • Paediatric dysphonia management benefits from non-invasive techniques.
  • Computer-assisted voice analysis offers a novel approach to assessing voice disorders.

Purpose of the Study:

  • To identify voice analysis parameters differentiating vocal cord nodules from normal vocal patterns in children.
  • To evaluate the effectiveness of MultiDimensional Voice Program (MDVP) in diagnosing paediatric vocal cord nodules.

Main Methods:

  • 12 male children (aged 7-12) diagnosed with vocal cord nodules underwent voice analysis.
  • Subjects were analyzed using the MultiDimensional Voice Program (MDVP).
  • Data were compared to age-matched healthy controls.

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Main Results:

  • Children with vocal cord nodules exhibited statistically significant elevations (p < .01) in multiple acoustic parameters.
  • Elevated parameters included absolute jitter, jitter percent, relative average perturbation, pitch period perturbation quotient, smoothed amplitude perturbation quotient, and fundamental frequency variation.
  • These findings were consistent across different age groups within the study cohort.

Conclusions:

  • Specific MDVP parameters reliably distinguish vocal cord nodules from normal voice patterns in children.
  • MDVP shows promise as a diagnostic tool for paediatric vocal cord pathologies.
  • Further research is needed to explore MDVP's role in diagnosing other voice disorders and monitoring therapy outcomes.