Introduction: Salivary carcinomas of the tongue represent a therapeutic challenge as their radical excision is particularly mutilating. We aimed to study the oncologic and functional outcomes of advanced stages salivary carcinomas of the tongue.
Materials And Methods: This retrospective multicentric study, based on the French national network on rare head and neck cancers (REFCOR), included all patients with a T3-T4 salivary carcinoma of the tongue, diagnosed between January 2009 and December 2018.
Perceptual measures, such as intelligibility and speech disorder severity, are widely used in the clinical assessment of speech disorders in patients treated for oral or oropharyngeal cancer. Despite their widespread usage, these measures are known to be subjective and hard to reproduce. Therefore, an M-Health assessment based on an automatic prediction has been seen as a more robust and reliable alternative.
View Article and Find Full Text PDFBackground: Perceptual measures such as speech intelligibility are known to be biased, variant and subjective, to which an automatic approach has been seen as a more reliable alternative. On the other hand, automatic approaches tend to lack explainability, an aspect that can prevent the widespread usage of these technologies clinically.
Aims: In the present work, we aim to study the relationship between four perceptual parameters and speech intelligibility by automatically modelling the behaviour of six perceptual judges, in the context of head and neck cancer.