WITHDRAWN: Oral cancer detection using optical coherence tomography – A detailed review

Malathi, M.; Madhanlal, U.; Sunil, N. Kins Burk; deen, K. Jalal

doi:10.1016/j.matpr.2021.01.502

Cited by 3 publications

(1 citation statement)

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“…A sufficient number of studies have reported on the capability of OCT to distinguish between normal, dysplasia and malignant oral tissue [46,47], suggesting that the method has potential for this application. Smith et al [48] could with sensitivity and specificity [ 93% distinguish cancer vs non-cancer (normal and dysplasia).…”

Section: Optical Coherence Tomographymentioning

confidence: 99%

Early Detection of Oral Potentially Malignant Disorders: A Review on Prospective Screening Methods with Regard to Global Challenges

Haj‐Hosseini

Lindblad

Hasséus

et al. 2022

J. Maxillofac. Oral Surg.

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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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Section: Optical Coherence Tomographymentioning

confidence: 99%