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Oncologia oral: estratégias atuais para o diagnóstico precoce – revisão narrativa
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Abstract(s)
A patologia oncológica de cabeça e pescoço representa um grave problema de saúde pública, representando 3,7% de todos os cancros a nível mundial.
A educação da população em geral e em particular das pessoas com perfil de risco, bem como a constante atualização dos profissionais de saúde em medicina oral, poderá contribuir de forma significativa para a diminuição dos elevados números que acompanham esta doença nas últimas décadas.
O objetivo do presente trabalho é analisar as estratégias atuais de diagnóstico precoce em oncologia oral. Simultaneamente enfatiza-se o papel relevante do Médico Dentista neste contexto.
Realizam-se uma revisão narrativa, recorrendo as bases de dados, PubMed, Bon, Elsevier, Science Direct, com as palavras-chave «oncologia oral», «diagnostico precoce», «auto-exame da cavidade oral», «exames complementares de diagnostico», «anatomia e histologia oral», preferencialmente nos últimos 5 anos.
São estratégias de diagnóstico precoce em oncologia oral na atualidade : o MSE, a supervisão do Medico Dentista, com recurso a análise histopatologica, biomarcadores salivares e sanguíneos e a fluorescência. Identificam-se como métodos promissores a IA, onde se inclui o Deep Learning, que em articulação com a área a patologia, poderá optimizar a investigação e a pratica clinica em oncologia.
The oncological pathology of head and neck represents a serious public health problem, representing 3.7% of all cancers worldwide. The education of the population in general and in particular of people with a risk profile, as well as the constant updating of health professionals in oral medicine, may significantly con- tribute to the decrease of the high numbers accompanying this disease in recent decades. The aim of this study is to analyse the current strategies for early diagnosis in oral oncology. Simultaneously, the relevant role of the dentist in this context is emphasised. A narrative review was carried out using the following databases: PubMed, Bon, Elsevier, Science Direct, with the keywords "oral oncology", "early diagnosis", "oral cavity self-examination", "complementary diagnostic tests", "oral anatomy and histology", mainly in the last 5 years. Current strategies for early diagnosis in oral oncology are: the MSE, the supervision of the dentist, using histopathological analysis, salivary and blood biomarkers and fluorescence. Promising methods are identified as AI, including Deep Learning, which in articulation with the pathology area, may optimise research and clinical practice in oncology.
The oncological pathology of head and neck represents a serious public health problem, representing 3.7% of all cancers worldwide. The education of the population in general and in particular of people with a risk profile, as well as the constant updating of health professionals in oral medicine, may significantly con- tribute to the decrease of the high numbers accompanying this disease in recent decades. The aim of this study is to analyse the current strategies for early diagnosis in oral oncology. Simultaneously, the relevant role of the dentist in this context is emphasised. A narrative review was carried out using the following databases: PubMed, Bon, Elsevier, Science Direct, with the keywords "oral oncology", "early diagnosis", "oral cavity self-examination", "complementary diagnostic tests", "oral anatomy and histology", mainly in the last 5 years. Current strategies for early diagnosis in oral oncology are: the MSE, the supervision of the dentist, using histopathological analysis, salivary and blood biomarkers and fluorescence. Promising methods are identified as AI, including Deep Learning, which in articulation with the pathology area, may optimise research and clinical practice in oncology.
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Keywords
Oncologia oral Diagnóstico precoce Auto-exame da cavidade oral Exames complementares de diagnóstico Anatomia e histologia oral Oral oncology Early diagnosis Oral cavity self-examination Complementary diagnostic tests Oral anatomy and histology