BACKGROUND: Early detection of @entity5 is still crucial for a @entity1 's prognosis. Although diagnostic access to the oral cavity and oropharynx is comparably easy, the incidence of resulting disease remains high. This is due to the fact that in many cases, @entity5 is recognized too late on a purely visual basis. Previously, we discussed the application of hyperspectral imaging for early detection of precancerous and @entity5 of the larynx. This time, we evaluate the method in the oral cavity and oropharynx. MATERIALS AND METHODS: In 85  @entity1 scheduled for endoscopy, hyperspectral imaging was performed. We used a rigid 0-degree endoscope, a light-adjustable monochromator, and a hyperspectral camera. For evaluation of the method, 3  @entity1 were chosen exemplarily. Training sites from physiological and cancerous tissues were marked. Hyperspectral data from 1  @entity1 were used to train a classifier, which was then used for automatic detection of precancerous and @entity5 in another 2  @entity1 . RESULTS: Intraoperative hyperspectral imaging was performed without any problems. Classification showed sensitivities of 61  and 43   %, and a specificity of 100   %. CONCLUSION: This proof-of-concept study underscores the high potential of hyperspectral imaging for early recognition of @entity5 and oropharynx. Besides a better prognosis for @entity5 @entity1 , this approach could lead to higher cost efficiency in the health system.

[Early recognition of XXXX in the mouth and oropharynx : Automated evaluation of hyperspectral image stacks].

@entity5 :: ('MESH:D009369', 'Disease') :: ['cancerous lesions', 'cancer in the mouth', 'cancer', 'malignity'] @entity1 :: ('9606', 'Species') :: ['patients', 'patient']
@entity5 :: (MESH:D009369,Disease) :: ['cancerous lesions']
