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The readiness of dentists to use the autofluorescence method
- Source :
- Acta Biomedica Scientifica, Vol 6, Iss 4, Pp 192-201 (2021)
- Publication Year :
- 2021
- Publisher :
- Scientific Сentre for Family Health and Human Reproduction Problems, 2021.
-
Abstract
- 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.
- Subjects :
- medicine.medical_specialty
General Immunology and Microbiology
business.industry
Science
precancerous condition
Prevalence
Cancer
Disease
oral cancer
autofluorescence
medicine.disease
Head and neck squamous-cell carcinoma
Dermatology
General Biochemistry, Genetics and Molecular Biology
Precancerous condition
Autofluorescence
medicine.anatomical_structure
medicine
Length of service
awareness
Oral mucosa
business
Subjects
Details
- Language :
- Russian
- ISSN :
- 25879596 and 25419420
- Volume :
- 6
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- Acta Biomedica Scientifica
- Accession number :
- edsair.doi.dedup.....80ae32de7216fe9b07b47618925ebea9