The Variability of Function of the Eustachian Tube in Patients with Chronic Paranasal Sinusitis
Otolaryngologia Polska(2023)
Jagiellonian Univ Med Coll
Abstract
BackgroundThe Eustachian tube is a complex and inaccessible structure, which is responsible for the ventilation of the middle ear. The aim of the study was the assessment of an impact of chronic sinusitis on the auditory tube function. MethodsThe prospective analysis of 84 surgically treated chronic sinusitis patients was carried out. This study is based on preoperative results of impedance audiometry in correlation with the data from the medical history of chronic sinusitis, symptoms reported by the patients, results of Computered Tomography (CT) and the stage of inflammatory changes according to Lund and Mackay score. ResultsThe significant majority of patients of our study (65) had advanced auditory tube symptoms, while 4 patients suffered from symptoms significantly impacting daily life. In patients with chronic sinusitis the analysis demonstrated that tympanometry type B (12.67) and C (12.4) occured with significantly higher number of points of Lund-Mackay score than type A (9.2). In allergy sufferers type B of tympanometry was more often observed with characteristically bilaterally located inflammatory changes in maxillary and anterior ethmoid sinuses.ConclusionThe profile of chronic sinusitis patient in whom Eustachian Tube Dysfunction is more often observed, is as follows: Lund and Mackay score above 12pathological changes are bilaterally observed in maxillary and frontal ethmoid sinuses decrease of nasal patency nad postnasal dripAllergyoverusing alcohol and cigarettes, at least alcoholWorse result of Lund and Mackay score and the age of patients are 2 factors favoring the dysfunction of the Eustachian Tube.
MoreTranslated text
Key words
chronic sinusitis,Eustachian tube dysfunction,Lund and Mackay score
求助PDF
上传PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
Summary is being generated by the instructions you defined