In this study, features of vocal fold atrophy were quantified and compared across dysphonia severity and between age-related and Parkinson's disease-related vocal atrophy. The results support an association between vocal fold bowing and dysphonia severity based on CAPE-V scores, and demonstrate that patients with Parkinson's-related atrophy have more significant bowing compared to those with age-related vocal atrophy.
Objective
Vocal fold atrophy (VFA) is associated with aging and Parkinson's disease (PD). Clinical diagnosis of VFA depends on several visual-perceptual laryngostroboscopy findings that are inherently subjective. The purpose of this study was to use quantitative measurements to; (1) examine the relationships between VFA and dysphonia severity and (2) evaluate differences in VFA in patients with age-related VFA versus PD.
Methods
Thirty-six patients >60 years of age with VFA were included in this retrospective cohort study. Demographic information, medical history, Consensus Auditory-Perceptual Evaluation of Voice (CAPE-V), Voice Handicap Index-10 (VHI-10), and still images from the stroboscopic exam were obtained. Image J™ was used to measure VFA, including bowing index (BI), normalized glottal gap area, and normalized mucosal wave amplitude. Pearson's correlation was used to evaluate the relationship between VFA, CAPE-V, and VHI-10. t-Tests and multivariate linear regression were used to compare VFA measures by dysphonia severity (CAPE-V <30 vs. >30) and diagnosis (age-related vocal atrophy [ARVA] and PD).
Results
BI was positively correlated with CAPE-V. Patients with CAPE-V >30 had a significantly larger BI compared to those with CAPE-V <30. Patients with PD had significantly larger BI than those with ARVA. Diagnosis of PD also predicted a larger BI after controlling for age and CAPE-V.
Conclusion
Quantitative measures supported an association between bowing severity and dysphonia severity in patients with PD and ARVA. A PD diagnosis significantly predicted more severe BI. These findings demonstrate the potential utility of BI. Quantitative VFA measures might also provide insight into the mechanisms of ARVA and dysphonia.
Level of Evidence
3 Laryngoscope, 2022