The History of Laryngology: A Centennial Celebration

Pinna

Rev. Bras. Otorrinolaringol.

et al. 2008

Proper diagnosis of laryngeal benign lesions still brings doubts among experienced laryngologists, despite current diagnostic progress. Aim: the goal of this study was to compare telelaryngoscopy (preoperative) with suspension laryngoscopy (intraoperative) on the diagnosis of vocal fold benign lesions. Materials and Methods: We carried out a restrospective study analyzing 79 charts from patients followed up in a University Hospital. In all the charts there was at least diagnostic hypothesis suggested by telelaryngoscopy, which was later on compared to intraoperative findings of suspension laryngoscopy. Results: Almost two-thirds of the patients were females, with ages varying between 12 and 66 years (mean of 37 years). Of the 79 patients studied, we diagnosed 95 lesions with telelaryngoscopy and 124 with suspension laryngoscopy. The most frequently found benign lesion was the vocal polyp in both methods. In 64.5% of the cases the diagnosis of the lesions in the outpatient ward was the same as those in the surgical findings. Conclusion: Laryngologists must be prepared to alter their surgical planning and treatment approaches because of diagnostic changes that may happen during surgery.

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Comparação entre a telelaringoscopia e a laringoscopia de suspensão no diagnóstico das lesões benignas das pregas vocais

Pinna

Rev. Bras. Otorrinolaringol.

et al. 2008

Video rigid laryngeal endoscopy compared to laryngeal mirror examination: An assessment of patient comfort and clinical visualization

et al. 2009

Automatic Recognition of Laryngoscopic Images Using a Deep‐Learning Technique

et al. 2020

Objectives/Hypothesis: To develop a deep-learning-based computer-aided diagnosis system for distinguishing laryngeal neoplasms (benign, precancerous lesions, and cancer) and improve the clinician-based accuracy of diagnostic assessments of laryngoscopy findings. Study Design: Retrospective study. Methods: A total of 24,667 laryngoscopy images (normal, vocal nodule, polyps, leukoplakia and malignancy) were collected to develop and test a convolutional neural network (CNN)-based classifier. A comparison between the proposed CNNbased classifier and the clinical visual assessments (CVAs) by 12 otolaryngologists was conducted. Results: In the independent testing dataset, an overall accuracy of 96.24% was achieved; for leukoplakia, benign, malignancy, normal, and vocal nodule, the sensitivity and specificity were 92.8% vs. 98.9%, 97% vs. 99.7%, 89% vs. 99.3%, 99.0% vs. 99.4%, and 97.2% vs. 99.1%, respectively. Furthermore, when compared with CVAs on the randomly selected test dataset, the CNN-based classifier outperformed physicians for most laryngeal conditions, with striking improvements in the ability to distinguish nodules (98% vs. 45%, P < .001), polyps (91% vs. 86%, P < .001), leukoplakia (91% vs. 65%, P < .001), and malignancy (90% vs. 54%, P < .001). Conclusions: The CNN-based classifier can provide a valuable reference for the diagnosis of laryngeal neoplasms during laryngoscopy, especially for distinguishing benign, precancerous, and cancer lesions.