The readiness of dentists to use the autofluorescence method
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. T...
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Scientific Сentre for Family Health and Human Reproduction Problems
2021
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oai:doaj.org-article:0bfe32e85cbe46a4b841818afe1aefb82021-11-23T06:14:46ZThe readiness of dentists to use the autofluorescence method2541-94202587-959610.29413/ABS.2021-6.4.17https://doaj.org/article/0bfe32e85cbe46a4b841818afe1aefb82021-10-01T00:00:00Zhttps://www.actabiomedica.ru/jour/article/view/2990https://doaj.org/toc/2541-9420https://doaj.org/toc/2587-9596Background. 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.A. A. RykhlevichYa. P. SandakovA. V. KochubeyV. V. KochubeyScientific Сentre for Family Health and Human Reproduction Problemsarticleoral cancerprecancerous conditionawarenessautofluorescenceScienceQRUActa Biomedica Scientifica, Vol 6, Iss 4, Pp 192-201 (2021) |
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oral cancer precancerous condition awareness autofluorescence Science Q |
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oral cancer precancerous condition awareness autofluorescence Science Q A. A. Rykhlevich Ya. P. Sandakov A. V. Kochubey V. V. Kochubey The readiness of dentists to use the autofluorescence method |
description |
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. |
format |
article |
author |
A. A. Rykhlevich Ya. P. Sandakov A. V. Kochubey V. V. Kochubey |
author_facet |
A. A. Rykhlevich Ya. P. Sandakov A. V. Kochubey V. V. Kochubey |
author_sort |
A. A. Rykhlevich |
title |
The readiness of dentists to use the autofluorescence method |
title_short |
The readiness of dentists to use the autofluorescence method |
title_full |
The readiness of dentists to use the autofluorescence method |
title_fullStr |
The readiness of dentists to use the autofluorescence method |
title_full_unstemmed |
The readiness of dentists to use the autofluorescence method |
title_sort |
readiness of dentists to use the autofluorescence method |
publisher |
Scientific Сentre for Family Health and Human Reproduction Problems |
publishDate |
2021 |
url |
https://doaj.org/article/0bfe32e85cbe46a4b841818afe1aefb8 |
work_keys_str_mv |
AT aarykhlevich thereadinessofdentiststousetheautofluorescencemethod AT yapsandakov thereadinessofdentiststousetheautofluorescencemethod AT avkochubey thereadinessofdentiststousetheautofluorescencemethod AT vvkochubey thereadinessofdentiststousetheautofluorescencemethod AT aarykhlevich readinessofdentiststousetheautofluorescencemethod AT yapsandakov readinessofdentiststousetheautofluorescencemethod AT avkochubey readinessofdentiststousetheautofluorescencemethod AT vvkochubey readinessofdentiststousetheautofluorescencemethod |
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