Models for Predicting Velopharyngeal Competence Based on Speech and Resonance Errors and Velopharyngeal Area Estimation

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dc.contributor.authorScarmagnani, Rafaeli Higa
dc.contributor.authorLohmander, Anette
dc.contributor.authorSalgado, Manoel Henrique [UNESP]
dc.contributor.authorFukushiro, Ana Paula
dc.contributor.authorTrindade, Inge Elly Kiemle
dc.contributor.authorYamashita, Renata Paciello
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionKarolinska University Hospital
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2023-07-29T16:02:15Z
dc.date.available2023-07-29T16:02:15Z
dc.date.issued2023-01-01
dc.description.abstractObjective: To develop tools for predicting velopharyngeal competence (VPC) based on auditory-perceptual assessment and its correlation with objective measures of velopharyngeal orifice area. Design: Methodological study. Participants and Methods: Sixty-two patients with repaired cleft palate, aged 6 to 45 years, underwent aerodynamic evaluation by means of the pressure-flow technique and audiovisual recording of speech samples. Three experienced speech-language pathologists analysed the speech samples by rating the following resonance, visual, and speech variables: hypernasality, audible nasal air emission, nasal turbulence, weak pressure consonants, facial grimacing, active nonoral errors, and overall velopharyngeal competence. The correlation between the perceptual speech variables and velopharyngeal orifice area estimates was analysed with Spearman's correlation coefficient. Two statistical models (discriminant and exploratory) were used to predict VPC based on the orifice area estimates. Sensitivity and specificity analyses were performed to verify the clinical applicability of the models. Results: There was a strong correlation between VPC (based on the orifice area estimates) and each speech variable. Both models showed 88.7% accuracy in predicting VPC. The sensitivity and specificity for the discriminant model were 92.3% and 97.2%, respectively, and 96.2% and 94.4% for the exploratory model. Conclusion: Two predictor models based on ratings of resonance, visual, and speech variables and a simple calculation of a composite variable, SOMA (Eng. “sum”), were developed and found to be efficient in predicting VPC defined by orifice estimates categories based on aerodynamic measurements. Both tools may contribute to the diagnosis of velopharyngeal dysfunction in clinical practice.en
dc.description.affiliationLaboratory of Physiology Hospital for Rehabilitation of Craniofacial Anomalies University of São Paulo, São Paulo
dc.description.affiliationDivision of Speech and Language Pathology Department of Clinical Science Intervention and Technology (CLINTEC) Karolinska Institutet Speech-Language Pathology Unit Karolinska University Hospital
dc.description.affiliationProduction Engineering Department São Paulo State University, São Paulo
dc.description.affiliationDepartment of Speech and Hearing Pathology Bauru School of Dentistry University of São Paulo, São Paulo
dc.description.affiliationUnespProduction Engineering Department São Paulo State University, São Paulo
dc.identifierhttp://dx.doi.org/10.1177/10556656221149516
dc.identifier.citationCleft Palate-Craniofacial Journal.
dc.identifier.doi10.1177/10556656221149516
dc.identifier.issn1545-1569
dc.identifier.issn1055-6656
dc.identifier.scopus2-s2.0-85145507057
dc.identifier.urihttp://hdl.handle.net/11449/249532
dc.language.isoeng
dc.relation.ispartofCleft Palate-Craniofacial Journal
dc.sourceScopus
dc.subjectaerodynamics
dc.subjectspeech disorders
dc.subjectvelopharyngeal function
dc.titleModels for Predicting Velopharyngeal Competence Based on Speech and Resonance Errors and Velopharyngeal Area Estimationen
dc.typeArtigo
unesp.author.orcid0000-0003-0951-4908[2]
unesp.author.orcid0000-0002-5927-3877[4]
unesp.author.orcid0000-0001-9420-1118[5]
unesp.author.orcid0000-0001-7098-9502[6]
unesp.departmentEngenharia de Produção - FEBpt

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Bauru - FEB - Faculdade de Engenharia