Oral cancer is most commonly referred to as cancer of the lip, oral cavity and oropharynx with 90% of oral malignancies being attributed to oral squamous cell carcinomas (OSCC). It is estimated that 263, 900 new cases are diagnosed worldwide per year with 128,000 deaths being attributed to OSCC in 2008 alone. The survival rate has remained unchanged for last three decades at around 50%, largely due to the delayed diagnosis of these cancers. Additionally, OSCC are often preceded by changes to the oral mucosa which can be detected on visual examination. Lesions which have the propensity to progress to malignancy are referred to as oral potentially malignant disorders (OPMD). Therefore, to improve patient outcomes there has been increased emphasis on detecting OSCC and OPMD at an earlier stage, New technologies which assist lesion visualisation have been made available to assist the general and specialist practitioner in detecting OPMD, and also differentiating OPMD from benign lesions. This thesis will focus on VELscope TM , a device which utilises direct tissue autofluorescence to perform this function. When visualised with VELscope TM , normal mucosa is associated with a pale green autofluorescence, while abnormal mucosa is associated with loss of autofluorescence (LAF). It is well reported in the literature that VELscope TM is associated with high sensitivity for the detection of dysplasia but low specificity, and there are concerns regarding the presence of false positives due to inflammatory lesions also displaying LAF. In specialist practice, the device is effective in detecting dysplasia however it can be difficult to distinguish dysplasia from benign inflammatory lesions. Diascopic fluorescence, when the lesion returns to a normal fluorescence pattern under pressure, can help discern inflammatory lesions from those with malignant potential. Additionally, some cases of dysplasia may not display LAF. In general practice, the literature is limited however the main concerns are that relying on VELscope TM alone may lead to gross over referrals.