z-logo
open-access-imgOpen Access
The readiness of dentists to use the autofluorescence method
Author(s) -
А. А. Рыхлевич,
Я П Сандаков,
А. В. Кочубей,
В. В. Кочубей
Publication year - 2021
Publication title -
acta biomedica scientifica
Language(s) - English
Resource type - Journals
eISSN - 2587-9596
pISSN - 2541-9420
DOI - 10.29413/abs.2021-6.4.17
Subject(s) - autofluorescence , oral mucosa , medicine , basal cell , oral cancers , pathological , head and neck , cancer , pathology , dermatology , surgery , physics , quantum mechanics , fluorescence
Background. Head and neck squamous cell carcinoma are the sixth most common cancer in prevalence rate. Early diagnosis significantly reduces morbidity and mortality. Autofluorescence facilitates diagnosis the disease at the early stages, but it depends on the doctor’s skill in interpreting images. The aim of the study : to analyze the results of reading autofluorescence images of the oral mucosa by dentists. Materials and methods. The results of reading 10 autofluorescence images of potentially malignant diseases of the oral mucosa and 10 images of benign lesions and conditions were evaluated. The study involved 308 dentists. The assessment of the ability to recognize autofluorescence images was carried out with respect to gender, age, length of service, qualification category, academic degree, position of the head of the department. Results . On the average, dentists correctly differentiated the results of visualization of potentially malignant diseases of the oral mucosa in 3.85 ± 2.47 cases, benign lesions together with other benign conditions – in 4.56 ± 2.47 cases. Images of benign lesions and conditions were identified by dentists better than images of potentially malignant diseases of the oral mucosa (t = –17.0; p < 0.001). There is a direct correlation between the correct differentiation of visualization of potentially malignant diseases of the oral mucosa with the correct interpretation of benign lesions and conditions (r = 0.956; p < 0.001). The interpretation of potentially malignant diseases of the oral mucosa is not related to gender (t = –1.62; p = 0.306), work experience (r = –0.002; p = 0.977), department head (t = –0.11; p = 0.910), qualification category (t = –0.50; p = 0.574), academic degree (t = –0.34; p = 0.731). Conclusion . Dentists cannot recognize diseases of the oral mucosa well in autofluorescence images. The recognition skill is not related to general professional development.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here