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Early Detection of Oral Potentially Malignant Disorders: A Review on Prospective Screening Methods with Regard to Global Challenges.
Haj-Hosseini, Neda; Lindblad, Joakim; Hasséus, Bengt; Kumar, Vinay Vijaya; Subramaniam, Narayana; Hirsch, Jan-Michaél.
Afiliación
  • Haj-Hosseini N; Department of Biomedical Engineering, Linköping University, Linköping, Sweden.
  • Lindblad J; Centre for Medical Image Science and Visualization, Linköping University, Linköping, Sweden.
  • Hasséus B; Centre for Image Analysis, Department of Information Technology, Uppsala University, Uppsala, Sweden.
  • Kumar VV; Department of Oral Medicine and Pathology, Institute of Odontology, University of Gothenburg, The Sahlgrenska Academy, Gothenburg, Sweden.
  • Subramaniam N; Clinic of Oral Medicine, Public Dental Service, Gothenburg, Region Västra Götaland Sweden.
  • Hirsch JM; Department of Head and Neck Oncology, Sri Shankara Cancer Hospital and Research Centre, Bangalore, India.
J Maxillofac Oral Surg ; 23(1): 23-32, 2024 Feb.
Article en En | MEDLINE | ID: mdl-38312957
ABSTRACT
Oral cancer is a cancer type that is widely prevalent in low-and middle-income countries with a high mortality rate, and poor quality of life for patients after treatment. Early treatment of cancer increases patient survival, improves quality of life and results in less morbidity and a better prognosis. To reach this goal, early detection of malignancies using technologies that can be used in remote and low resource areas is desirable. Such technologies should be affordable, accurate, and easy to use and interpret. This review surveys different technologies that have the potentials of implementation in primary health and general dental practice, considering global perspectives and with a focus on the population in India, where oral cancer is highly prevalent. The technologies reviewed include both sample-based methods, such as saliva and blood analysis and brush biopsy, and more direct screening of the oral cavity including fluorescence, Raman techniques, and optical coherence tomography. Digitalisation, followed by automated artificial intelligence based analysis, are key elements in facilitating wide access to these technologies, to non-specialist personnel and in rural areas, increasing quality and objectivity of the analysis while simultaneously reducing the labour and need for highly trained specialists.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Screening_studies Aspecto: Patient_preference Idioma: En Revista: J Maxillofac Oral Surg Año: 2024 Tipo del documento: Article País de afiliación: Suecia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Screening_studies Aspecto: Patient_preference Idioma: En Revista: J Maxillofac Oral Surg Año: 2024 Tipo del documento: Article País de afiliación: Suecia
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