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1.
Stomatologiia (Mosk) ; 101(3): 27-30, 2022.
Artigo em Russo | MEDLINE | ID: mdl-35640176

RESUMO

THE AIM OF THE STUDY: Was to assess the level of oral hygiene and microcirculation of the mucous membrane of the tongue and gums in patients with burning mouth syndrome (BMS) as a result of using a toothbrush with a gold-zinc electroplating. MATERIALS AND METHOS: The study included 50 patients of both sexes aged 45-64 years with the diagnosis of BMS divided into two groups. In the main group, the complex of hygienic measures included the use of a toothbrush with a gold-zinc electroplating and a paste with the fluorine content of 1350 ppm. In the comparison group, a regular manual toothbrush and a paste with a fluoride content of 1350 ppm were used for oral hygiene. A control group consisted of 25 healthy people with the mean age of 44±4.5 years without clinical signs of BMS in the oral cavity and concomitant acute somatic pathologies. RESULTS: Tongue mucosa microcirculation level in patients using the toothbrush with a gold-zinc electroplating was significantly higher than in the comparison group using conventional manual toothbrush. Oral hygiene level assessment showed statistically significant better brushing efficacy in patients using the toothbrush with a gold-zinc electroplating. CONCLUSION: The use of a toothbrush with a gold-zinc electroplating contributes to the normalization of microcirculation in the mucous membrane of the tongue and gums and is recommended for inclusion in the complex of therapeutic measures in patients with BMS.


Assuntos
Síndrome da Ardência Bucal , Doenças da Língua , Adulto , Galvanoplastia , Feminino , Fluoretos , Ouro , Humanos , Masculino , Microcirculação , Pessoa de Meia-Idade , Mucosa Bucal , Higiene Bucal , Língua , Doenças da Língua/tratamento farmacológico , Doenças da Língua/patologia , Zinco/uso terapêutico
2.
Stomatologiia (Mosk) ; 100(4): 49-54, 2021.
Artigo em Russo | MEDLINE | ID: mdl-34357728

RESUMO

OBJECTIVE: The aim of the study is to identify the consistency of expert opinions when manually identifying the reference points positions for studying the soft-tissue face profile in digital teleradiological images of the skull lateral projection. MATERIAL AND METHODS: The study involved 11 orthodontists having a 1 to 8 year experience. They localized the reference points manually, using the software with image enhancement options. Each doctor processed 100 X-ray images of the skull lateral projection. Totally, 1100 positions were identified (11 parameters in 100 images). The average position of 11 manual localizations was taken as the baseline. Then, manually identified positions were automatically compared with the basic localization. RESULTS: We have a good consistency of expert opinions when determining the reference points of the soft-tissue face profile. Herewith, the highest consistency of expert opinions is observed for soft-tissue reference points of the upper and lower lips (LL and EN points) with the average variation coefficients equal to 0.557726 and 0.566349 respectively; and the lowest consistency is observed for the hard tissue point Po with the average variation coefficient of 0.819904. Despite rather serious shortcomings in determining separate points (such as Or, DT, Po) in teleradiological images of the lateral skull projection, the method for determining soft-tissue profilometric reference points gives satisfactory results for more than 85.87% cases. In general, the method can be considered clinically reliable. However, the means and methods for identifying reference points require improving.


Assuntos
Prova Pericial , Crânio , Cefalometria , Humanos , Crânio/diagnóstico por imagem , Software
3.
Stomatologiia (Mosk) ; 100(4): 63-67, 2021.
Artigo em Russo | MEDLINE | ID: mdl-34357730

RESUMO

THE AIM OF THE STUDY: Was to investigate the efficiency of decoding teleradiological studies using an algorithm based on the use of convolutional neural networks - a simple convolutional architecture, as well as an extended U-Net architecture. MATERIALS AND METHODS: For the experiment, a dataset was prepared by three orthodontists with over 10 years of clinical experience. Each of the orthodontists processed 100 X-ray images of the lateral projection of the head according to 27 parameters, 2700 measurements were made. The coordinates of the control points found by orthodontists in the images were compared with each other and a conclusion was made about the consistency of experts in the data obtained. RESULTS: The results of convolutional neural network CNN were not satisfactory in 17 (62.96%) features, satisfactory in 10 (37.04%). The assessment of orthodontists resulted in non-satisfactory evaluation in 6 (22.22%), satisfactory in 8 (29.63%), good in 8 (29.63%), and excellent in 5 (18.52%) coordinates. Neural networks with U-Net architecture showed satisfactory results in 9 (33.3%) cases, good in 16 (59.3%) and excellent in 2 (7.4%) cases, with no non-satisfactory results. CONCLUSION: The neural network of the U-Net architecture is more effective than a simple fully convolutional neural network and its results of determining anatomical reference points on two-dimensional images of the head are relatively comparable with the data obtained by medical specialists.


Assuntos
Redes Neurais de Computação , Crânio , Cefalometria , Humanos , Processamento de Imagem Assistida por Computador , Radiografia , Crânio/diagnóstico por imagem , Raios X
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