| dc.description.abstract | The 5-years survival rate of oral cancer is approximately 57%; however, if the oral cancer is discovered in the early stage, the 5-years survival rates can be increased to 80%. Biopsy is a conventional approach for diagnosing oral cancer. In addition to allow pathologists to diagnose the stage of cancer accurately, a biopsy also allows them to prescribe the most appropriate treatment. However, the difference in experience and subjectivity between pathologists might affect their diagnostic accuracy. Therefore, the pathologist hopes to find an approach to quantitatively diagnose oral cancer.
A microscopic hyperspectral imaging system (MHIS), which can simultaneously present the tissue image and the spectral information of each pixel on an image, has been developed to aid physician to quantitatively diagnose oral cancer. However, the MHIS has some hardware issues, such as the unstable scanning mechanism, complex mechanical structure, and inconvenient alignment. Hence, this study develops a novel embedded relay lens microscopic hyperspectral imaging system (ERL-MHIS), which is composed of the proposed ERL-HIS and a microscope, to improve the hardware issues by optical transferring the scanning plane from objective plane to imaging plane.
In this study, the development of the ERL-MHIS is discussed and the capability of the system is firstly demonstrated by diagnosing early stage oral cancer of twenty mice biopsies. The sensitivity and specificity are 88.9% and 87.6%, respectively. Then, twenty-nine oral cancer (fourteen in early stage) patient’s biopsies are diagnosed using cocktail approach, which diagnoses the biopsy according to the patient’s condition. The sensitivity and specificity are 90% and 87.8%, respectively. Finally, the tissue stratification approach, which combines the morphological and spectral information of biopsy to discriminate cancer form normal biopsies, is used to diagnose thirty-four patient’s biopsies. The sensitivity and specificity are 94.12% and 91.18%, respectively. Moreover, we also connect the ERL-HIS with the fiberscope for in-vivo diagnosis.
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