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Improving oral cavity cancer diagnosis and treatment with fluorescence molecular imaging
Author(s) -
Vonk Jasper,
de Wit Jaron Gérard,
Voskuil Floris Jan,
Witjes Max Johannes Hendrikus
Publication year - 2021
Publication title -
oral diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.953
H-Index - 87
eISSN - 1601-0825
pISSN - 1354-523X
DOI - 10.1111/odi.13308
Subject(s) - cancer , medicine , basal cell , stage (stratigraphy) , oral cavity , fluorescence lifetime imaging microscopy , radiology , margin (machine learning) , pathology , fluorescence , computer science , dentistry , biology , paleontology , physics , quantum mechanics , machine learning
Early diagnosis and radical surgical excision of oral squamous cell carcinomas are essential for achieving optimal treatment outcomes. To date, diagnostic tools that rely on anatomical anomalies provide limited information and resolution in clinical practice. As a result, oral cancer is often detected in an advanced stage. Also, no reliable real‐time intraoperative tools are readily available for the evaluation of surgical resection margins. Fluorescence imaging visualises biological processes that occur in early carcinogenesis and could, therefore, enable detection of small tumours in early stages. Furthermore, due to the high sensitivity and spatial resolution, fluorescence imaging could assist in resection margin assessment during surgery. In this review, we discuss several techniques that employ fluorescence for early diagnosis and surgical guidance in oral squamous cell carcinoma and present future perspectives on the potential of fluorescence imaging in oral cancer in the near future.
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