Classification of laryngeal disorders based on shape and vascular defects of vocal folds

Turkmen, H. Irem; Karslıgil, M. Elif; Koçak, İsmail

doi:10.1016/j.compbiomed.2015.02.001

Cited by 51 publications

(46 citation statements)

References 33 publications

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“…The quantitative changes and thus the degree of improvement are indicated by the mean differences between pre-and posttherapeutic voice parameters and the 95% confidence intervals. The range of the increase of MPT (2.0-5.9 s), VEM (8)(9)(10)(11)(12)(13)(14)(15)(16)(17) and DSI (0.9-2.0), as well as the decrease of VHI (-9 to -6) and sVHI (-56 to -40) could serve as reference range for subjective and objective expectation values. If further studies can reveal that the extension of this database with values of future singers enables more precise prognosis about vocal outcome, these values could be quantified for specific diagnosis-related subgroups and used for quality control after phonosurgery.…”

Section: Discussionmentioning

confidence: 99%

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Efficacy of Phonosurgery, Logopedic Voice Treatment and Vocal Pedagogy in Common Voice Problems of Singers

Rendon

Ermakova²,

Freymann

et al. 2018

Adv Ther

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Depending on individual medical indication, phonosurgery, logopedic treatment and voice teaching are all effective, objectively and subjectively satisfactory therapies to improve the impaired singing voice. The use of VEM in singers with functional and organic dysphonia objectifies and quantifies their vocal capacity as documented in the VRP. Complementing the established DSI, VEM introduction into practical objective voice diagnostics is appropriate and desirable especially for the treatment of singers.

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Section: Discussionmentioning

confidence: 99%

“…In case of persisting organic findings, the most relevant and common benign vocal fold pathologies comprise marginal swellings, nodules and polyps [11][12][13]. Localized vocal fold swellings and nodules belong to the group of exudative lesions of Reinke's space [14,15].…”

Section: Introductionmentioning

confidence: 99%

Efficacy of Phonosurgery, Logopedic Voice Treatment and Vocal Pedagogy in Common Voice Problems of Singers

Rendon

Ermakova²,

Freymann

et al. 2018

Adv Ther

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“…Training machine-learning algorithms to differentiate between benign and malignant lesions, as proposed by Esmaeili et al, could play an important role in computer-aided diagnoses in the future [29]. Automated vascular pattern recognition and assessments could be used alone or in combination with texture assessment strategies to optimize endoscopic diagnoses in the future [30,31]. Further research in that field is needed to prove its value in everyday clinical practice.…”

Section: Implications and Suggestions For Future Researchmentioning

confidence: 99%

Evaluation of Vascular Patterns Using Contact Endoscopy and Narrow-Band Imaging (CE-NBI) for the Diagnosis of Vocal Fold Malignancy

Davaris

Lux

Esmaeili

et al. 2020

Cancers

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The endoscopic detection of perpendicular vascular changes (PVC) of the vocal folds has been associated with vocal fold cancer, dysplastic lesions, and papillomatosis, according to a classification proposed by the European Laryngological Society (ELS). The combination of contact endoscopy with narrow-band imaging (NBI-CE) allows intraoperatively a highly contrasted, real-time visualization of vascular changes of the vocal folds. Aim of the present study was to determine the association of PVC to specific histological diagnoses, the level of interobserver agreement in the detection of PVC, and their diagnostic effectiveness in diagnosing laryngeal malignancy. The evaluation of our data confirmed the association of PVC to vocal fold cancer, dysplastic lesions, and papillomatosis. The level of agreement between the observers in the identification of PVC was moderate for the less-experienced observers and almost perfect for the experienced observers. The identification of PVC during NBI-CE proved to be a valuable indicator for diagnosing malignant and premalignant lesions.

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“…Physicians often use invasive techniques, such as endoscopy, laryngostroboscopy or surgical microlaryngoscopy to diagnose symptoms of voice disorders. In state-of-art, researchers used the invasive technique to visualize the vibration of the vocal folds [2,3,4,5]. It is, however, possible to identify disorders using certain features of speech signal in a non-invasive way [6].…”

Section: Introductionmentioning

confidence: 99%

Classification of Disorders in Vocal Folds Using Electroglottographic Signal

2018

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The main objective of this paper is to accurately classify the pathological voice based on the disorders in vocal folds. For this purpose, we have explored the phase of Electroglottographic (EGG) signal which carries significant information related to characteristics of vocal folds. Four important parameters, namely, close quotient, open quotient, average pitch period and jitter computed from the phase of the EGG signal have been explored for discriminating the patients based on the disorder in their vocal folds. These parameters have been used for classification of three types of vocal folds disorders: vocal nodules, vocal polyps and laryngitis. In this study, we have used the EGG signals of seventy-nine patients having disorders in vocal folds, collected from hospital. The database contains the simultaneous recording of speech and EGG signals of four vowel ('a','e','o','u') utterances. The experimental result shows that the proposed features extracted from phase, performed well in classification of patients according to the disorder in their vocal folds.

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Classification of laryngeal disorders based on shape and vascular defects of vocal folds

Cited by 51 publications

References 33 publications

Efficacy of Phonosurgery, Logopedic Voice Treatment and Vocal Pedagogy in Common Voice Problems of Singers

Efficacy of Phonosurgery, Logopedic Voice Treatment and Vocal Pedagogy in Common Voice Problems of Singers

Evaluation of Vascular Patterns Using Contact Endoscopy and Narrow-Band Imaging (CE-NBI) for the Diagnosis of Vocal Fold Malignancy

Classification of Disorders in Vocal Folds Using Electroglottographic Signal

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