Vibratory Characteristics and Quantitative Parameters of Laryngeal Dystonia: A Scoping Review of High‐Speed Videoendoscopy Studies

ABSTRACT Objective To review the clinical application and quantitative parameters of high‐speed videoendoscopy (HSV) in evaluating vocal fold kinematics in patients with laryngeal dystonia (LD), to summarize the limitations of existing studies, and to provide a reference for future clinical standardization. Method A comprehensive search of eight databases, including PubMed, Embase, and the Web of Science Core Collection (WoSCC), was conducted from inception to December 2025. Three independent investigators performed the literature screening and data extraction. A scoping review and visual analysis were subsequently conducted on the included studies. Results Across the included studies, HSV captured several LD‐related abnormalities, including oscillatory breaks, micromotions, motion irregularities, supraglottic compression, altered open quotient (OQ), speed quotient (SQ), glottal area change index (GACI), vocal vibration opening onset position (VVOOP), and prolonged or more variable glottal attack time (GAT) and glottal offset time (GOT). These findings were organized into five parameter domains, covering abnormal movements and configuration, micro‐vibratory dynamics and kinematics, onset/offset temporal dynamics, image‐field usability, and automated analysis metrics. Recent studies further incorporated artificial intelligence (AI)‐assisted approaches, including automated obstruction detection and glottal segmentation. Conclusions HSV provides multidimensional, objective, and quantitative metrics for LD assessment, reducing reliance on subjective evaluation. Future studies should employ multicenter designs with larger cohorts to standardize parameter definitions and further validate the reliability of AI‐assisted analytical approaches, ultimately promoting more objective and standardized diagnosis of LD.

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Publication Details

Journal
World Journal of Otorhinolaryngology - Head and Neck Surgery
Published
2026-08-18
DOI
https://doi.org/10.1002/wjo2.70155
Primary Topic
Voice and Speech Disorders
Type
article
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article

Vibratory Characteristics and Quantitative Parameters of Laryngeal Dystonia: A Scoping Review of High‐Speed Videoendoscopy Studies

Lu Xing, Shu‐Yi Zeng, Pei‐Yun Zhuang, Yuanjia Hu et al.
World Journal of Otorhinolaryngology - Head and Neck Surgery
Voice and Speech Disorders
article

Vibratory Characteristics and Quantitative Parameters of Laryngeal Dystonia: A Scoping Review of High‐Speed Videoendoscopy Studies

Lu Xing, Shu‐Yi Zeng, Pei‐Yun Zhuang, Yuanjia Hu, Ying‐Shan Tan, Jia Song, Qiu‐Tong Chen, Yu‐Jie Feng, Sheng‐Tao Wu, Sen‐Nian Zheng
article en

Abstract

ABSTRACT Objective To review the clinical application and quantitative parameters of high‐speed videoendoscopy (HSV) in evaluating vocal fold kinematics in patients with laryngeal dystonia (LD), to summarize the limitations of existing studies, and to provide a reference for future clinical standardization. Method A comprehensive search of eight databases, including PubMed, Embase, and the Web of Science Core Collection (WoSCC), was conducted from inception to December 2025. Three independent investigators performed the literature screening and data extraction. A scoping review and visual analysis were subsequently conducted on the included studies. Results Across the included studies, HSV captured several LD‐related abnormalities, including oscillatory breaks, micromotions, motion irregularities, supraglottic compression, altered open quotient (OQ), speed quotient (SQ), glottal area change index (GACI), vocal vibration opening onset position (VVOOP), and prolonged or more variable glottal attack time (GAT) and glottal offset time (GOT). These findings were organized into five parameter domains, covering abnormal movements and configuration, micro‐vibratory dynamics and kinematics, onset/offset temporal dynamics, image‐field usability, and automated analysis metrics. Recent studies further incorporated artificial intelligence (AI)‐assisted approaches, including automated obstruction detection and glottal segmentation. Conclusions HSV provides multidimensional, objective, and quantitative metrics for LD assessment, reducing reliance on subjective evaluation. Future studies should employ multicenter designs with larger cohorts to standardize parameter definitions and further validate the reliability of AI‐assisted analytical approaches, ultimately promoting more objective and standardized diagnosis of LD.

World Journal of Otorhinolaryngology - Head and Neck Surgery
Fujian Medical University (CN), Xiamen Municipal Bureau of Science and Technology (CN), Zhongshan Hospital of Xiamen University (CN), Xiamen University of Technology (CN)
Openalex Percentile: Top 99%
Voice and Speech Disorders
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