Detection accuracy for epithelial dysplasia using an objective autofluorescence visualization method based on the luminance ratio

Abstract

Using blue light, researchers can detect the presence of abnormal cells in tissues such as the tongue. As abnormal (‘dysplastic’) cells can become cancerous, prompt identification and treatment are key. Researchers led by Koji Kawaguchi from Japan’s Tsurumi University-, Yokohama, shone a specific wavelength of blue light onto the tongues of 62 patients. The excitatory light caused healthy tissue to fluoresce green light, whereas dysplastic or cancerous tissue appeared black. Results were compared against final diagnoses done via biopsy. To minimize human error, the emitted light was measured digitally rather than manually, as had been done in previous studies on the technique, known as ‘autofluorescence visualization’. This change improved result consistency; however, some cancers were missed. The team are optimistic that their technique has great clinical potential after further refinements.

Keywords

autofluorescence / epithelial dysplasia / oral cancer / Visually Enhanced Lesion scope

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