Artificial neural network analysis to assess hypernasality in patients treated for oral or oropharyngeal cancer

Bruijn, M. de; Bosch, L.F.M. ten; Kuik, Dirk J.; Langendijk, Johannes A.; Leemans, C. René; Leeuw, Irma M. Verdonck‐de

doi:10.3109/14015439.2011.606227

Cited by 12 publications

(16 citation statements)

References 27 publications

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“…Among the 22 studies, 10 include more than 20 patients, and also 10 include between 2 and 18 subjects . Two articles do not report the number of subjects involved in the acoustic analysis .…”

Section: Resultsmentioning

confidence: 99%

“…Six studies (27%) include both patients treated for cancer of the oral cavity and patients treated for oropharynx cancer …”

Section: Resultsmentioning

confidence: 99%

“…Regarding the size of the tumor, 12 studies (54%) include smaller tumors (T1 + T2) than large ones . Three studies (14%) focus on larger tumors (T3 + T4) .…”

Section: Resultsmentioning

confidence: 99%

“…Detailed proportion of the tumor size (T classification) in the retained articles (note that articles 26 and 27 do not differentiate T3 and T4 sizes in the 25 participants)…”

Section: Resultsmentioning

confidence: 99%

“…Of the 22 included studies, 20 (91%) address surgically treated patients. Among them, surgery was carried out exclusively (with no reported information about complementary treatment) in 14 studies, including seven surgical reconstructions . Surgery was combined with other treatment methods such as radiotherapy or chemotherapy in six studies .…”

Section: Resultsmentioning

confidence: 99%

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Effects of oral and oropharyngeal cancer on speech intelligibility using acoustic analysis: Systematic review

et al. 2019

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Background The development of automatic tools based on acoustic analysis allows to overcome the limitations of perceptual assessment for patients with head and neck cancer. The aim of this study is to provide a systematic review of literature describing the effects of oral and oropharyngeal cancer on speech intelligibility using acoustic analysis. Methods Two databases (PubMed and Embase) were surveyed. The selection process, according to the preferred reporting items for systematic reviews and meta‐analyses (PRISMA) statement, led to a final set of 22 articles. Results Nasalance is studied mainly in oropharyngeal patients. The vowels are mostly studied using formant analysis and vowel space area, the consonants by means of spectral moments with specific parameters according to their phonetic characteristic. Machine learning methods allow classifying “intelligible” or “unintelligible” speech for T3 or T4 tumors. Conclusions The development of comprehensive models combining different acoustic measures would allow a better consideration of the functional impact of the speech disorder.

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Section: Resultsmentioning

confidence: 99%

“…Six studies (27%) include both patients treated for cancer of the oral cavity and patients treated for oropharynx cancer …”

Section: Resultsmentioning

confidence: 99%

“…Regarding the size of the tumor, 12 studies (54%) include smaller tumors (T1 + T2) than large ones . Three studies (14%) focus on larger tumors (T3 + T4) .…”

Section: Resultsmentioning

confidence: 99%

“…Detailed proportion of the tumor size (T classification) in the retained articles (note that articles 26 and 27 do not differentiate T3 and T4 sizes in the 25 participants)…”

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Effects of oral and oropharyngeal cancer on speech intelligibility using acoustic analysis: Systematic review

et al. 2019

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Validity of Patient-Reported Swallowing and Speech Outcomes in Relation to Objectively Measured Oral Function Among Patients Treated for Oral or Oropharyngeal Cancer

et al. 2015

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The objective of this study was to test the construct validity of the patient-reported outcomes Swallowing Quality of Life Questionnaire (SWAL-QOL) and Speech Handicap Index (SHI) in relation to objectively measured oral function among patients treated for oral or oropharyngeal cancer. The study sample consisted of patients treated for oral or oropharyngeal cancer. Outcome measures were the SWAL-QOL and the SHI, and the Functional Rehabilitation Outcomes Grade (FROG), a test to measure oral and shoulder function. Spearman's rank correlation coefficient was used to test associations between the SHI and SWAL-QOL scales, and the FROG scales. During a study period of 3 months, 38 patients (21 males, 17 females; mean age 54 years) were included who visited the outpatient clinic for follow-up care 6-155 months after surgical treatment (n = 14) or combined surgery and radiotherapy (n = 24) for oral (n = 21) or oropharyngeal cancer (n = 17). Most SWAL-QOL and SHI scales (except the SWAL-QOL Fatigue scale) correlated significantly with one or more FROG oral function scales. None of the SWAL-QOL and SHI scales correlated significantly with the FROG shoulder function scale. These results support the construct validity of the SWAL-QOL and SHI questionnaires for assessing speech and swallowing problems in daily life that are moderately but significantly related to oral function. A multidimensional assessment protocol is recommended for use in clinical practice and for research purposes for measuring oral function and swallowing- and speech-related problems in daily life among head and neck cancer patients.

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HypernasalityNet: Deep recurrent neural network for automatic hypernasality detection

Wang

Yang

Tang

et al. 2019

International Journal of Medical Informatics

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Artificial neural network analysis to assess hypernasality in patients treated for oral or oropharyngeal cancer

Abstract: Feature analysis of nasalance in oral or oropharyngeal cancer patients is feasible; prediction of subjective parameters varies between moderate and poor.

Cited by 12 publications

References 27 publications

Effects of oral and oropharyngeal cancer on speech intelligibility using acoustic analysis: Systematic review

Effects of oral and oropharyngeal cancer on speech intelligibility using acoustic analysis: Systematic review

Validity of Patient-Reported Swallowing and Speech Outcomes in Relation to Objectively Measured Oral Function Among Patients Treated for Oral or Oropharyngeal Cancer

HypernasalityNet: Deep recurrent neural network for automatic hypernasality detection

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