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    Wyświetlanie 1-3 z 3
    Tytuł:
    Dental awareness and oral health of pregnant women in Poland
    Autorzy:
    Gaszyńska, Ewelina
    Klepacz-Szewczyk, Justyna
    Trafalska, Elżbieta
    Garus-Pakowska, Anna
    Szatko, Franciszek
    Powiązania:
    https://bibliotekanauki.pl/articles/2177341.pdf
    Data publikacji:
    2015-04-17
    Wydawca:
    Instytut Medycyny Pracy im. prof. dra Jerzego Nofera w Łodzi
    Tematy:
    oral health
    pregnant woman
    dental health surveys
    dental care
    self evaluation
    Opis:
    Objectives The level of dental awareness of a pregnant woman affects the sanitary condition of her own teeth and the health of the child to be born. Poor oral health is considered to be a probable risk factor for the pre-term birth or low birth weight. The aim of this work was to assess the level of oral health knowledge that determines oral health condition of pregnant women in Poland. Material and Methods Empirical data were obtained from the National Monitoring of Oral Health and Its Determinants, financed by the Ministry of Health. This socio-epidemiological study assessed oral health status and dental health awareness, which affects that status. Study subjects included 1380 pregnant women at the age ranging from 15 to 44, randomly-selected from urban and rural environments. Dental health status was recorded in the clinical examination sheets supplied by the World Health Organization, and the socio-medical data were recorded in the questionnaire interview sheets. Results Almost 3/4 of the pregnant women evaluated their dental health as unsatisfactory or poor. Over 60% of the pregnant women rated their knowledge and practical skills concerning care of their own teeth and of the child to be born as limited, inadequate or none. Only 40% of the pregnant women provided right answers to the questions about dental issues. Conclusions Low oral health awareness results in poor oral health status of the study subjects. A statistical pregnant woman has a total of 13 teeth showing the symptoms of tooth decay or caries. Over 70% of the pregnant women developed gingivitis or periodontitis. There is an urgent need in Poland to make the European principle of treating pregnant women as a dentally vulnerable group obligatory.
    Źródło:
    International Journal of Occupational Medicine and Environmental Health; 2015, 28, 3; 603-611
    1232-1087
    1896-494X
    Pojawia się w:
    International Journal of Occupational Medicine and Environmental Health
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The influence of tobacco smoking on dental periapical condition in a sample of an adult population of the Łódź region, Poland
    Autorzy:
    Sopińska, Katarzyna
    Bołtacz-Rzepkowska, Elżbieta
    Powiązania:
    https://bibliotekanauki.pl/articles/2116678.pdf
    Data publikacji:
    2020-01-17
    Wydawca:
    Instytut Medycyny Pracy im. prof. dra Jerzego Nofera w Łodzi
    Tematy:
    risk factor
    smoking
    oral health
    apical periodontitis
    dental care
    panoramic radiograph
    Opis:
    ObjectivesEpidemiological studies show that apical periodontitis (AP), alongside tooth decay, is the most common oral disease. The aim of the study was to evaluate the influence of smoking on the prevalence of AP in the population of the Łódź region, Poland.Material and MethodsThe study involved 815 first-time, randomly selected patients reporting to the Central Teaching Hospital of the Medical University of Lodz. The studied group was a systematic sample of the population admitted for treatment in 2016. The study consisted of a questionnaire and a radiological part. Each patient filled out a questionnaire containing demographic data, and an interview regarding smoking and diabetes. The radiological part of the study included the analysis of panoramic radiographs which showed the periapical status, and the presence and quality of root canal treatment.ResultsTeeth with AP were observed more frequently in patients addicted to tobacco either at the time of the study or in the past (group 1) – 7.2% than in people who had never smoked (group 2) – 5.2% (p < 0.0005). In the teeth without root canal treatment, AP was observed more frequently in group 1 – 3.5% than in group 2 – 1.9% (p < 0.0005). A statistically significant difference was found in the percentage of endodontically treated teeth between group 1 and group 2 (10.7% vs. 9.6%) (p = 0.017). However, no difference was observed in the frequency of AP in the endodontically treated teeth in both groups (37.6% vs. 35.8%) (p = 0.451).ConclusionsSmokers are a group facing an increased risk of AP and, therefore, there is a need for an early detection and treatment of caries and its complications in this group of patients. The multifactorial etiology of AP indicates the necessity to undertake further studies on the effect of smoking on the periapical status.
    Źródło:
    International Journal of Occupational Medicine and Environmental Health; 2020, 33, 1; 45-57
    1232-1087
    1896-494X
    Pojawia się w:
    International Journal of Occupational Medicine and Environmental Health
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Classification and segmentation of periodontal cystfor digital dental diagnosis using deep learning
    Autorzy:
    Lakshmi, T. K.
    Dheeba, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/38700996.pdf
    Data publikacji:
    2023
    Wydawca:
    Instytut Podstawowych Problemów Techniki PAN
    Tematy:
    CNN
    dental radiograph
    deep learning
    health care
    machine transfer learning
    periodontal cyst
    predictive analytics
    segmentation
    U-Net
    VGG16
    rentgenowskie zdjęcie zębów
    uczenie głębokie
    opieka zdrowotna
    uczenie się z transferu maszynowego
    torbiel przyzębia
    analityka predykcyjna
    segmentacja
    Opis:
    The digital revolution is changing every aspect of life by simulating the ways humansthink, learn and make decisions. Dentistry is one of the major fields where subsets ofartificial intelligence are extensively used for disease predictions. Periodontitis, the mostprevalent oral disease, is the main focus of this study. We propose methods for classifyingand segmenting periodontal cysts on dental radiographs using CNN, VGG16, and U-Net.Accuracy of 77.78% is obtained using CNN, and enhanced accuracy of 98.48% is obtainedthrough transfer learning with VGG16. The U-Net model also gives encouraging results.This study presents promising results, and in the future, the work can be extended withother pre-trained models and compared. Researchers working in this field can develop novelmethods and approaches to support dental practitioners and periodontists in decision-making and diagnosis and use artificial intelligence to bridge the gap between humansand machines.
    Źródło:
    Computer Assisted Methods in Engineering and Science; 2023, 30, 2; 131-149
    2299-3649
    Pojawia się w:
    Computer Assisted Methods in Engineering and Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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