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Emerging Diagnostic Modalities in Oral Cancer Detection and Management
Ashkan Badkoobeh1, Shadi Zarakhsh2, Mehrnaz Fayazi3
1Department of Oral and Maxillofacial Surgery, School of Dentistry, Qom University of Medical Sciences, Qom, Iran.
Galen Medical Journal
|April 27, 2026
Summary
Early detection of oral cancer is crucial. New methods like salivary biomarkers and AI offer high sensitivity for improved diagnosis and treatment, reducing the global health burden.
Area of Science:
- Oncology
- Medical Diagnostics
- Biomarkers
Background:
- Oral cancer is a major global health issue, frequently diagnosed at late stages.
- Traditional diagnostic methods have limitations, necessitating advanced early detection strategies.
Purpose of the Study:
- To review recent advancements in oral cancer diagnosis.
- To highlight the potential of novel, non-invasive techniques for early detection and improved patient outcomes.
Main Methods:
- Review of emerging diagnostic technologies for oral cancer.
- Focus on salivary biomarkers, optical imaging, liquid biopsy, advanced imaging, and AI algorithms.
- Assessment of sensitivity and specificity of these new modalities.
Main Results:
- Non-invasive methods, especially salivary biomarkers, demonstrate high sensitivity and specificity.
- AI algorithms show promise in enhancing diagnostic accuracy.
- These technologies offer a potential shift from traditional diagnostic approaches.
Conclusions:
- New diagnostic modalities can transform oral cancer detection, enabling earlier diagnosis.
- Further clinical trials and collaboration are essential for regulatory approval and clinical adoption.
- Successful implementation can lead to better treatment and reduced global mortality from oral cancer.
