Consensus for voice quality assessment in clinical practice: Guidelines of the European Laryngological Society and Union of the European Phoniatricians
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Introduction To update the European guidelines for the assessment of voice quality (VQ) in clinical practice.Methods Nineteen laryngologists-phoniatricians of the European Laryngological Society (ELS) and the Union of the European Phoniatricians (UEP) participated to a modified Delphi process to propose statements about subjective and objective VQ assessments. Two anonymized voting rounds determined a consensus statement to be acceptable when 80% of experts agreed with a rating of at least 3/4. The statements with ≥ 3/4 score by 60-80% of experts were improved and resubmitted to voting until they were validated or rejected.Results Of the 90 initial statements, 51 were validated after two voting rounds. A multidimensional set of minimal VQ evaluations was proposed and included: baseline VQ anamnesis (e.g., allergy, medical and surgical history, medication, addiction, singing practice, job, and posture), videolaryngostroboscopy (mucosal wave symmetry, amplitude, morphology, and movements), patient-reported VQ assessment (30- or 10-voice handicap index), perception (Grade, Roughness, Breathiness, Asthenia, and Strain), aerodynamics (maximum phonation time), acoustics (Mean F0, Jitter, Shimmer, and noise-to-harmonic ratio), and clinical instruments associated with voice comorbidities (reflux symptom score, reflux sign assessment, eating-assessment tool-10, and dysphagia handicap index). For perception, aerodynamics and acoustics, experts provided guidelines for the methods of measurement. Some additional VQ evaluations are proposed for voice professionals or patients with some laryngeal diseases.Conclusion The ELS-UEP consensus for VQ assessment provides clinical statements for the baseline and pre- to post-treatment evaluations of VQ and to improve collaborative research by adopting common and validated VQ evaluation approach.
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AI-based acoustic analysis offers a non-invasive adjunctive approach for voice quality diagnosis, triage, and follow-up.
“artificial intelligence (AI)-based acoustic analysis offers a non-invasive adjunctive approach for VQ diagnosis, triage, and follow-up [20,21,22,23,24].”
From Diagnostic Accuracy of Artificial Intelligence in Laryngeal Disorders: An Integrative Review (2026) · cites this paper as [20]
The acoustic measurements section (page unavailable) describes acoustic analysis as an objective way to detect subtle voice changes and monitor treatment effectiveness. The perceptual voice quality evaluation section (page unavailable) calls AI-based assessment promising, but does not establish AI-based acoustic analysis as an adjunct for diagnosis or triage; it does not characterize the approach as non-invasive. (LLM, conf=0.85)
Experimental — accuracy not yet measuredA multidimensional approach to voice evaluation in individuals with MTD can include laryngeal visualization, auditory-perceptual measures, acoustic measures, aerodynamic measures, and patient-reported measures of quality of life.
“A multidimensional approach to voice evaluation in individuals with MTD can include laryngeal visualization, auditory-perceptual measures, acoustic measures of voice, aerodynamic measures of voice, and patient-reported measures of quality of life [9,10].”
From Correlation of Multiple Measures of Voice Evaluation Among Individuals with Muscle Tension Dysphonia: An Exploratory Study (2024) · cites this paper as [9]
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“Current dysphonia guidelines consider laryngoscopic visualization and multidimensional voice assessment as the reference standard [20,21].”
Self-citation
- Authors
- Lechien, J. R., Geneid, A., Bohlender, J. E., Cantarella, G., Avellaneda, J. C., Desuter, G., Sjogren, E. V., Finck, C., Hans, S., Hess, M., Oguz, H., Remacle, M. J., Schneider-Stickler, B., Tedla, M., Schindler, A., Vilaseca, I., Zabrodsky, M., Dikkers, F. G., & Crevier-Buchman, L.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- University of Helsinki (FI)
- University of Zurich (CH)
- University of Milan (IT)
- Hospital Universitario Mayor, Mederi (CO)
- Antwerp University Hospital (BE)
- University of Liège (BE)
- Centre Hospitalier de Luxembourg (LU)
- University Hospital Bratislava (SK)
- Hospital Clínic de Barcelona (ES)
- Amsterdam UMC Location University of Amsterdam (NL)
- Corresponding author
- Lechien, Jerome R.
- ORCID
- Venue
- European Archives of Oto-Rhino-Laryngology
- Published
- 2023-09-14
- Volume
- 280
- Issue
- 12
- Pages
- 5459-5473
- ISSN
- 0937-4477 (ISSN-L)
- 1434-4726
- OpenAlex
- W4386726848
- Cited by
- 107
- References
- 99
- Citations by year
- 2026: 43 · 2025: 38 · 2024: 23 · 2023: 3
- FWCI
- 18.98
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- European Archives of Oto-Rhino-Laryngology (publishedVersion)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion, other-oa)
- Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, cc-by-nc-nd)
- ORBi (University of Liège) (submittedVersion, other-oa)
- ORBi UMONS (submittedVersion, other-oa)
- Leiden Repository (Leiden University) (submittedVersion, cc-by)
- HAL (submittedVersion)
- Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) (submittedVersion)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion)
- Zurich Open Repository and Archive (University of Zurich)
- Topics
- Health Sciences › Medicine › Physiology › Voice and Speech Disorders
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Respiratory and Cough-Related Research
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Tracheal and airway disorders
- Keywords
- voice quality assessment, voice disorders, videolaryngostroboscopy, maximum phonation time, vocal acoustics, jitter and shimmer, reflux, dysphagia, Voice Handicap Index, professional voice users, laryngeal diseases, clinical guidelines
- MeSH terms
- Humans, Laryngeal Diseases, Otolaryngology, Voice, Voice Quality, Treatment Outcome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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