Streamlining quantification of age‐related vocal atrophy

Abstract Objectives Age‐related vocal atrophy (ARVA) has a significant impact on voice, communication, and quality of life. Vocal folds are bowed with incomplete glottic closure during phonation. Efficient quantification of vocal fold atrophy and collection of voice recordings in clinic remains challenging. The primary focus of this study is to describe a novel method for quantifying vocal atrophy and obtaining voice recordings in clinic among patients with ARVA. Methods Patients with ARVA were included. Voice recordings were collected during the clinic visit, and acoustic analysis was subsequently performed. A novel mobile application was used to quantify the bowing index (BI). Results The study included 10 patients with ARVA, with a mean age of 72.7 ± 6.8 years and body mass index (BMI) of 24.9 ± 2.4 kg/m2. Calculation of BI was feasible with a mean of 9.9 ± 1.8 units. On average, the audio recording took 2.6 ± 0.4 min, and subsequent analysis required 7.1 ± 1.8 min. Mean continuous speech f0 was 212.1 ± 10.1 and 134.2 ± 31.5 Hz for male and female patients, respectively. Smoothed cepstral peak prominence was 8.9 ± 1.5 dB (male) and 8.5 ± 0.3 dB (female), and maximum phonation time between male and female patients was 16.7 ± 9.8 and 13.8 ± 1.9 s, respectively. Conclusion We present a feasible and streamlined method for quantification of vocal fold atrophy in the clinic among patients with ARVA. The accuracy and reliability of this new method are areas of ongoing investigation. Quantification of vocal atrophy may help with clinical decisions, including diagnosing vocal atrophy and tracking treatment progress. Moreover, this method may improve research data acquisition without burdening patients and clinicians with additional time‐consuming tasks. Level of evidence: 4.