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Haj-Hosseini N, Lindblad J, Hasséus B, Kumar VV, Subramaniam N, Hirsch JM. Early Detection of Oral Potentially Malignant Disorders: A Review on Prospective Screening Methods with Regard to Global Challenges. J Maxillofac Oral Surg 2024; 23:23-32. [PMID: 38312957 PMCID: PMC10831018 DOI: 10.1007/s12663-022-01710-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 03/10/2022] [Indexed: 11/28/2022] Open
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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Affiliation(s)
- Neda Haj-Hosseini
- Department of Biomedical Engineering, Linköping University, Linköping, Sweden
- Centre for Medical Image Science and Visualization, Linköping University, Linköping, Sweden
| | - Joakim Lindblad
- Centre for Image Analysis, Department of Information Technology, Uppsala University, Uppsala, Sweden
| | - Bengt Hasséus
- Department of Oral Medicine and Pathology, Institute of Odontology, University of Gothenburg, The Sahlgrenska Academy, Gothenburg, Sweden
- Clinic of Oral Medicine, Public Dental Service, Gothenburg, Region Västra Götaland Sweden
| | - Vinay Vijaya Kumar
- Department of Head and Neck Oncology, Sri Shankara Cancer Hospital and Research Centre, Bangalore, India
- Department of Surgical Sciences, Odontology and Maxillofacial Surgery, Medical Faculty, Uppsala University, Uppsala, Sweden
| | - Narayana Subramaniam
- Department of Head and Neck Oncology, Sri Shankara Cancer Hospital and Research Centre, Bangalore, India
| | - Jan-Michaél Hirsch
- Department of Surgical Sciences, Odontology and Maxillofacial Surgery, Medical Faculty, Uppsala University, Uppsala, Sweden
- Department of Research & Development, Public Dental Services Region Stockholm, Stockholm, Sweden
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Murphy JA. Collaborative Annotation: Tools for Enhancing Learning and Scholarly Communication. SERIALS REVIEW 2021. [DOI: 10.1080/00987913.2021.1986917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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