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ArticleEuropean archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery2026

Longitudinal correlations of subjective, functional, and objective voice parameters following radiotherapy for early glottic carcinoma.

Abdulaziz Marzouq Al-Rashidi, Hossam Mohamed El Dessouky, Ahmed Mohamed ELdemerdash, Aisha Fawzy Abdel-Hady, Sahar Saad Shohdi

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Article in European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 authors.

Abdulaziz Marzouq Al-RashidiPhoniatrics Consultant, Phoniatric Unit, Department of Otorhinolaryngology, Al-Adan Hospital, Hadiya, Kuwait. Dr.3ziz@outlook.com.ORCID http://orcid.org/0009-0003-9241-9553
Hossam Mohamed El DessoukyPhoniatric Unit, Department of Otorhinolaryngology, Faculty of Medicine, Cairo University, Giza, Egypt.
Ahmed Mohamed ELdemerdashPhoniatric Unit, Department of Otorhinolaryngology, Military Medical Academy, Cairo, Egypt.
Aisha Fawzy Abdel-HadyPhoniatric Unit, Department of Otorhinolaryngology, Faculty of Medicine, Cairo University, Giza, Egypt.
Sahar Saad ShohdiPhoniatric Unit, Department of Otorhinolaryngology, Faculty of Medicine, Cairo University, Giza, Egypt.

Funding

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6 · The paper itself

Abstract

objectiveMulti-dimensional voice assessment is critical for monitoring recovery in patients treated with radiotherapy (RT) for early glottic carcinoma. This study investigated the longitudinal cross-parametric correlations between subjective (AVHI-10), functional (LVS), and objective (acoustic) voice measures at baseline and 6 months post-RT.

methodsThirty-seven patients with T1–T2N0M0 glottic carcinoma were prospectively evaluated. Spearman correlation matrices (ρ) were employed to analyze the relationships between the Voice Handicap Index-10 (AVHI-10), laryngeal videostroboscopy (LVS), and acoustic parameters (HNR, Jitter, Shimmer and MPT).

resultsAll parameters showed significant clinical improvement at 6 months (P < 0.001). Post-RT, the AVHI-10 demonstrated exceptionally strong concordance with objective efficiency measures, specifically HNR (ρ = − 0.893) and MPT (ρ = − 0.844), as well as robust correlations with perturbation metrics (Jitter: ρ = 0.761; Shimmer: ρ = 0.753). In contrast, while functional LVS parameters remained significantly correlated with acoustic output, these associations were more moderate (ρ ranging from = 0.41 to 0.67). Glottic closure was the most prominent functional predictor of acoustic spectral purity (ρ = − 0.674 with HNR), whereas mucosal wave parameters (Phase Symmetry and Periodicity) exhibited a relative weakening in their correlation with acoustic instability, suggesting a complex interplay following radiation-induced tissue changes.

conclusionSubjective handicap (AVHI-10) serves as a highly reliable surrogate for objective acoustic efficiency in the post-RT larynx. While functional laryngeal dynamics improve universally, the attenuation of correlations observed between mucosal wave parameters and acoustic output highlights the complex, non-linear impact of radiation-induced fibrosis. Residual glottic closure remains the primary functional determinant of vocal efficiency, emphasizing its role as a key clinical biomarker for post-treatment success.

Indexed as

CarcinomaGlottisLaryngeal NeoplasmsVoice DisordersVoice QualityAgedFemaleHumansLongitudinal StudiesMaleMiddle AgedProspective StudiesStroboscopyAcoustic analysisGlottic carcinomaLaryngeal videostroboscopy (LVS)RadiotherapyVoice Handicap Index-10 (VHI-10)Voice quality

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.