The Laryngoscope · 2024
Inter-rater and Intra-rater Reliability of Glottal Image Capture: A Mobile Application to Quantify Vocal Fold Bowing.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Aboueisha Mohamed, Jaleel Zaroug, Baertsch Hans C, Sauder Cara, Merati Albert L, Johns Michael M, Bhatt Neel K
Аннотация
BACKGROUND: Age-related vocal atrophy (ARVA) causes vocal fold bowing, impacting communication and quality of life. The assessment of vocal fold bowing is largely subjective. Glottal Image Capture (GlottIC) is a new mobile application that helps quantify vocal fold bowing. We aim through this study to assess its reliability, compare it to manual calculation method, and compare differences between visual-perceptual bowing severity ratings.
METHODS: Ten raters independently quantified Bowing Index (BI) using GlottIC from 10 videostroboscopic images among individuals with ARVA. There was 100% duplication of images to facilitate intra-rater reliability analyses using Pearson's correlation. Inter-rater reliability was quantified using Intraclass Correlation Coefficient (ICC) for experienced and novice raters. The correlation between manual calculations using ImageJ and GlottIC was analyzed.
RESULTS: The intra-rater reliability for total BI was strong (r = 0.822, p < 0.001). The inter-rater reliability for BI, calculated using ICC, was (ICC = 0.720; 95% CI: 0.579-0.852), indicating good consistency among the raters. Experts had higher ICC (ICC = 0.808; 95% CI: 0.678-0.906) compared to novice raters (ICC = 0.651; 95% CI: 0.468-0.816). There was a positive correlation between GlottIC and manual BI (r = 0.811, p < 0.001). As the BI increased, the bowing severity, based on visual-perceptual ratings, also increased (p < 0.001).
CONCLUSION: GlottIC is a reliable mobile application that can quantify vocal fold bowing in patients with ARVA with high intra- and inter-rater reliability. GlottIC BI measurments are highly correlated with manual BI and visual-perceptual ratings of bowing severity. Further improvements in reliability may be achieved with more robust rater training and automated technologies.
LEVEL OF EVIDENCE: 3 Laryngoscope, 135:1732-1736, 2025.
METHODS: Ten raters independently quantified Bowing Index (BI) using GlottIC from 10 videostroboscopic images among individuals with ARVA. There was 100% duplication of images to facilitate intra-rater reliability analyses using Pearson's correlation. Inter-rater reliability was quantified using Intraclass Correlation Coefficient (ICC) for experienced and novice raters. The correlation between manual calculations using ImageJ and GlottIC was analyzed.
RESULTS: The intra-rater reliability for total BI was strong (r = 0.822, p < 0.001). The inter-rater reliability for BI, calculated using ICC, was (ICC = 0.720; 95% CI: 0.579-0.852), indicating good consistency among the raters. Experts had higher ICC (ICC = 0.808; 95% CI: 0.678-0.906) compared to novice raters (ICC = 0.651; 95% CI: 0.468-0.816). There was a positive correlation between GlottIC and manual BI (r = 0.811, p < 0.001). As the BI increased, the bowing severity, based on visual-perceptual ratings, also increased (p < 0.001).
CONCLUSION: GlottIC is a reliable mobile application that can quantify vocal fold bowing in patients with ARVA with high intra- and inter-rater reliability. GlottIC BI measurments are highly correlated with manual BI and visual-perceptual ratings of bowing severity. Further improvements in reliability may be achieved with more robust rater training and automated technologies.
LEVEL OF EVIDENCE: 3 Laryngoscope, 135:1732-1736, 2025.