AIMC Topic: Laryngeal Neoplasms
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Demographic and Symptomatic Features of Voice Disorders and Their Potential Application in Classification Using Machine Learning Algorithms.
Folia phoniatrica et logopaedica : official organ of the International Association of Logopedics and Phoniatrics (IALP)
Sep 5, 2018
BACKGROUND: Studies have used questionnaires of dysphonic symptoms to screen voice disorders. This study investigated whether the differential presentation of demographic and symptomatic features can be applied to computerized classification.
Voice Quality
Glottis
Vocal Cord Paralysis
Voice Disorders
Laryngeal Neoplasms
Symptom Assessment
Wounds and Injuries
Demography
Humans
Middle Aged
Severity of Illness Index
Age Factors
Female
Aged
Neural Networks, Computer
Adult
Algorithms
Male
Retrospective Studies
Smoking
Alcohol Drinking
Supervised Machine Learning
Sex Factors
Learning-based classification of informative laryngoscopic frames.
Computer methods and programs in biomedicine
Jan 31, 2018
BACKGROUND AND OBJECTIVE: Early-stage diagnosis of laryngeal cancer is of primary importance to reduce patient morbidity. Narrow-band imaging (NBI) endoscopy is commonly used for screening purposes, reducing the risks linked to a biopsy but at the co...
Letter to the Editor regarding "Robotic or non-robotic transoral laryngectomy".
Head & neck
Nov 17, 2017
Reply to Letter to the Editor regarding "Robotic or non-robotic transoral laryngectomy".
Head & neck
Nov 17, 2017
A recurrence model for laryngeal cancer based on SVM and gene function clustering.
Acta oto-laryngologica
Nov 4, 2016
CONCLUSION: A prognostic model was obtained for LC. Several critical genes were unveiled. They could be potentially applied for LC recurrence prediction.
Transoral robotic resection of an adult laryngeal haemangioma and review of the literature.
The Journal of laryngology and otology
May 20, 2015
BACKGROUND: Haemangioma of the adult larynx is an uncommon, benign lesion. The optimal surgical method of treating these lesions is controversial because only very limited case series are available. This paper reports the results of transoral robotic...
Diagnosis of thyroid cartilage invasion by laryngeal and hypopharyngeal cancers based on CT with deep learning.
European journal of radiology
Aug 1, 2025
OBJECTIVES: To develop a convolutional neural network (CNN) model to diagnose thyroid cartilage invasion by laryngeal and hypopharyngeal cancers observed on computed tomography (CT) images and evaluate the model's diagnostic performance.
Transcriptomics-based exploration of ubiquitination-related biomarkers and potential molecular mechanisms in laryngeal squamous cell carcinoma.
BMC medical genomics
May 12, 2025
BACKGROUND: One of the most common and prevalent cancers is laryngeal squamous cell carcinoma (LSCC), which poses a great threat to the life and health of the patient. Nonetheless, it has been demonstrated that ubiquitination is crucial for the devel...
Multiparameter MRI-based model integrating radiomics and deep learning for preoperative staging of laryngeal squamous cell carcinoma.
Scientific reports
May 9, 2025
The accurate preoperative staging of laryngeal squamous cell carcinoma (LSCC) provides valuable guidance for clinical decision-making. The objective of this study was to establish a multiparametric MRI model using radiomics and deep learning (DL) to ...
[The application of domestic flexible arm robot in assisting transoral resection of throat tumors].
Zhonghua yi xue za zhi
Mar 11, 2025
The current study aimed to evaluate the application value of the domestic otolaryngology-specific flexible-arm robotic system in the resection of throat tumors. A 53-year-old male patient diagnosed with a left-sided throat tumor underwent tumor resec...
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